• Parametric models are contrasted with the semi-parametric, semi-nonparametric, and non-parametric models, all of which consist of an infinite set of "parameters" for description. (wikipedia.org)
  • Some statisticians believe that the concepts "parametric", "non-parametric", and "semi-parametric" are ambiguous. (wikipedia.org)
  • Purpose of this paper is identifying best covariates of a semi-parametric model in the presence of penalized coefficients. (ac.ir)
  • So, semi-parametric method was considered as an optimum solution. (ac.ir)
  • In this paper we concerned with variable selection in finite mixture of generalized semi-parametric models. (ac.ir)
  • To overcome to this computational burden, we introduce a class of variable selection procedures for finite mixture of generalized semi-parametric models. (ac.ir)
  • variable selection of generalized semi-parametric mixture models', Journal of Advanced Mathematical Modeling , 4(1), pp. 1-26. (ac.ir)
  • For any choice of norms, oping so-called semi-parametric approaches, which typically the resulting generalized SPICE method enjoys the same make some model structure assumptions, although restrain benefits as the regular SPICE method, including being hyper- from making strong model order assumptions, other than as- parameter free, although the choice of norm is shown to suming that the solution is sparse. (lu.se)
  • Numerous advances in the modeling techniques of value-at-risk (VaR) have provided financial institutions with a wide range of market risk approaches. (risk.net)
  • To overcome this problem and combine the specific strengths of the rule-based and parametric modeling approaches, this paper introduces a hybrid approach. (tue.nl)
  • The availability of this new mathematical model may be a powerful tool for current earthquake engineering research or practice, especially in probabilistic approaches where massive computations are needed. (pdfcookie.com)
  • We will therefore take a closer look in this week's blog at the approaches in STAR-CCM+ the set up a parametric model. (volupe.se)
  • Such modeling could range from parametric approaches to non-parametric ones like Artificial Neural Networks (ANN). (lu.se)
  • 10.4 Review of modeling approaches. (who.int)
  • However, this robustness comes with the downside that the non-parametric methods have, in general, larger variance in In this work, we extend the popular sparse iterative covariance- the estimates compared to the parametric approaches, which based estimator (SPICE) by generalizing the formulation to typically in turn are less robust [5]. (lu.se)
  • Recently, notable ef- allow for different norm constraint on the signal and noise pa- forts have been made to combine these two approaches, devel- rameters in the covariance model. (lu.se)
  • We use Finite Element Methods (FEM) to create solid surfaces of any model. (outsource2india.com)
  • Parametric models of vertebral endplate are then developed, which are beneficial to designing personalized spinal implants, making clinical diagnoses, and developing accurate finite element models. (jove.com)
  • This protocol can contribute to the design of personalized spinal implants, surgical planning, clinical diagnoses, and the development of accurate finite element models. (jove.com)
  • Advanced simulations, such as finite element methods, are routinely used to model the behaviour of physical systems and processes. (ubc.ca)
  • A 3-D coupled field finite element (FE) model is also established to predict the admittance spectrum of the Smart Probe embedded in cementitious material. (ntu.edu.sg)
  • The model is nonlinear. (jmp.com)
  • With the ability to estimate parameters in specified loss functions, the Nonlinear platform becomes a powerful tool for fitting maximum likelihood models. (jmp.com)
  • To fit a nonlinear model when data are censored, you must first use the formula editor to create a parametric equation that represents a loss function adjusted for censored observations. (jmp.com)
  • in 1996, Generative Topographic Mapping (GTM) is a powerful nonlinear latent variable modeling approach for visualizing high-dimensional data. (vt.edu)
  • The normalized nonlinear part is modelled by means of a cumulative lognormal function. (pdfcookie.com)
  • The usefulness of the models here proposed is highlighted showing how the parametric model is representative for a family of capacity curves having the same normalized nonlinear part and how important variables can be tabulated as empirical functions of the two main parameters defining the capacity model. (pdfcookie.com)
  • Part of the dissertation focuses on exploring estimation of high-dimensional covariance matrices using a factor model and studying the rate of posterior contraction as both the sample size & dimensionality increases. (duke.edu)
  • Non-parametric methods,covariance estimation, spectral estimation. (lu.se)
  • We survey formulations of the conditional mode estimator for technical inefficiency in parametric stochastic frontier models with normal errors and introduce new formulations for models with Laplace errors. (syr.edu)
  • 8. Stochastic Carcinogenesis Models (Annette Kopp-Schneider, Iris Burkholder and Jutta Groos). (who.int)
  • 8.2 Stochastic models for hepatocarcinogenesis. (who.int)
  • 2/ 4 · be able to predict and interpolate in linear time series models, · be able to estimate parameters in linear time series models and validate a resulting model, · be able to construct a Kalman-filter based on a linear state model, · be able to estimate in time varying stochastic systems using recursive and adaptive techniques. (lu.se)
  • The course gives a comprehensive presentation of stochastic models and methods in time series analysis. (lu.se)
  • Well, in that case 3D-CAD still can help to parametrize you geometry with the Freeform surface modelling. (volupe.se)
  • Here we have classical example for Freeform modelling: The bulbous bow of ship. (volupe.se)
  • Non-uniform Rational B-Spline Modeling is the mathematical representation of complex 3D objects using simpler 2D lines, circles, curves, arcs, etc. (outsource2india.com)
  • Journal of Advanced Mathematical Modeling , 4 (1), 1-26. (ac.ir)
  • Journal of Advanced Mathematical Modeling is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License . (ac.ir)
  • Klauer, KC, Singmann, H & Kellen, D 2015, ' Parametric order constraints in multinomial processing tree models: An extension of Knapp and Batchelder (2004) ', Journal of Mathematical Psychology , vol. 64-65, pp. 1-7. (syr.edu)
  • Time series analysis concerns the mathematical modelling of time varying phenomena, e.g., ocean waves, water levels in lakes and rivers, demand for electrical power, radar signals, muscular reactions, ECG-signals, or option prices at the stock market. (lu.se)
  • Sparse factor modeling is fast becoming a standard tool for parsimonious modeling of such massive dimensional data and the content of this thesis is specifically directed towards methodological and theoretical developments in Bayesian sparse factor models. (duke.edu)
  • In spite of the methodological advances over the past decade, theoretical justifications in high-dimensional factor models are scarce in the Bayesian literature. (duke.edu)
  • Building on a connection between the proposed model & sparse tensor decompositions, we propose new classes of nonparametric Bayesian models for testing associations between a massive dimensional vector of genetic markers and a phenotypical outcome. (duke.edu)
  • Therefore, we aimed to investigate the role of prognostic factors on breast cancer survival using Additive Empirical Bayesian model with large data set. (who.int)
  • Abstract A parametric model for capacity curves and capacity spectra is proposed. (pdfcookie.com)
  • The proposed automatic parcellation approach in this paper overcomes this limitation at the subject-level relying on a Dirichlet process mixture model combined with a hidden Markov random field to estimate the parcels and their number online. (univ-toulouse.fr)
  • To characterize the mechanical properties of the nanocomposite, a combination of the strain rate-dependent mechanical (SRDM) model of Goldberg and his coworkers and Halpin-Tsai's micromechanical approach is employed. (hindawi.com)
  • As an illustration, it is shown how the approach can be used to incorporate travel costs sensitivity in Albatross - a computational process model of activity scheduling. (tue.nl)
  • This paper discusses the approach taken by Deloitte to take the estimation model beyond just generating the initial estimate to also providing outputs, which support project staffing, work planning, and scope management. (pmi.org)
  • Before we dive into the details of Deloitte's estimation model, consider what we are trying to achieve-a transparent and correct estimation approach. (pmi.org)
  • By adopting a parametric approach to creating models, engineers are also setting the clear parameters, features and relationships of the models, which is intended to capture the product's behaviour. (creotips.com)
  • We present a new approach to surface tracking applied to 3D medical data with a deformable model. (psl.eu)
  • Title : Water Mist Extinguishment of Pool Fires: A Parametric Approach Personal Author(s) : Chaiken, Robert F.;Smith, Alex C. (cdc.gov)
  • 9. A Unified Modeling Approach: From Exposure to Disease Endpoints (Chao W. Chen). (who.int)
  • 9.2 Conventional approach to modeling carcinogenesis. (who.int)
  • The GAM approach models the baseline activity using a attendances for chickenpox (varicel a) as chickenpox is a more flexible approach than the Serfling model. (who.int)
  • The first three chapters of the thesis studies sparse factor models for high-dimensional continuous data. (duke.edu)
  • As an alternative, a novel class of simplex factor models for massive-dimensional and enormously sparse contingency table data is proposed in the second part of the thesis. (duke.edu)
  • 12.3 Parametric and semiparametric estimation. (who.int)
  • Motivated in particular by the problem of predicting the risk of impending diseases from massive gene expression and single nucleotide polymorphism profiles, this dissertation focuses on building parsimonious models and computational schemes for high-dimensional continuous and unordered categorical data, while also studying theoretical properties of the proposed methods. (duke.edu)
  • This example illustrates the definition for a model with some discrete parameters. (wikipedia.org)
  • The so-called parametric action decision tree (PADT) replaces the conventional action assignment rule of the decision tree by a logit model or any other parametric discrete choice model. (tue.nl)
  • Specifically, a parametric model is a family of probability distributions that has a finite number of parameters. (wikipedia.org)
  • a "semi-nonparametric" model has both finite-dimensional and infinite-dimensional unknown parameters of interest. (wikipedia.org)
  • The maximum likelihood method is employed to estimate the model parameters. (mdpi.com)
  • We present backtesting results for 1% and 2.5% VaR of six indexes from emerging and developed countries using several of the best-known VaR models, including generalized autoregressive conditional heteroscedasticity (GARCH), extreme value theory (EVT), conditional autoregressive VaR (CAViaR) and filtered historical simulation (FHS) with multiple sets of parameters. (risk.net)
  • It should be noted that in each model, coefficients of the existing variables is considered as a combination of parameters where some of them affect the response variable linearly and some of them functionally. (ac.ir)
  • In the first situation, you have already estimated a parametric model and wish to update the values of its free parameters to improve the fit to the estimation data. (mathworks.com)
  • Expand Regularization to obtain regularized estimates of model parameters. (mathworks.com)
  • To learn more, see Regularized Estimates of Model Parameters . (mathworks.com)
  • The present note analyzes MPT models subject to order constraints on subsets of its parameters. (syr.edu)
  • Uncertainties in conventional quantitative risk assessment typically relate to values of parameters in risk models. (cdc.gov)
  • Central problems are the properties of different models and their prediction ability, estimation of the model parameters, and the model's ability to accurately describe the data. (lu.se)
  • It makes no parametric assumptions and hence can be rapidly applied to project data in many formats. (sciweavers.org)
  • We propose a simple model selection test for choosing among two parametric likelihoods which can be applied in the most general setting without any assumptions on the relation between the candidate models and the true distribution. (cemmap.ac.uk)
  • 6) to uncertainties in such model assumptions that the former. (lu.se)
  • In this paper, we introduce a novel parametric quantile regression model for asymmetric response variables, where the response variable follows a power skew-normal distribution. (mdpi.com)
  • The fundamental objective of our work is to build a model connecting 2D X-ray information to 3D CT information through regression. (hal.science)
  • As a first step we propose an univariate non-parametric regression on individual predictor variables to explore the non-linearity of the data. (hal.science)
  • of the residuals of the linear multiple regression model. (lu.se)
  • A widely used method to estimate the burden of in- leading to health care for relatively mild symptoms fluenza is the Serfling regression model. (who.int)
  • We also discuss an automatic method to set an extreme distribution threshold for EVT models as well as several ensembling methods for VaR, of which the minimum VaR estimate from the best models - in particular, a minimum of GARCH(1,1) with a standardized Student t distribution and either the EVT or the CAViaR model - has been proven to give very good results. (risk.net)
  • Synthetic data experiments show that our method is able to estimate the right model order and an accurate parcellation. (univ-toulouse.fr)
  • Data - You can either use the same data set for refining the model as the one you originally used to estimate the model, or you can use a different data set. (mathworks.com)
  • If you are using a different data set than the one you used to estimate the model, drag the correct data set into the Working Data area. (mathworks.com)
  • Click Estimate to refine the model. (mathworks.com)
  • The GIS-based RUSLE model used variables like soil erodibility (K), soil coverage (C), topographic effect (LS), rainfall runoff (R), and erosion control practices (P) to estimate the amount of soil that had been washed away in the study area. (bvsalud.org)
  • The parametric Royston-Parmar (RP) method was used to estimate melanoma-specific survival (MSS) probabilities. (lu.se)
  • We used generalized additive time series models to estimate the association between the proportion of respiratory tests positive for influenza infection in Singapore reported to the World Health Organization every week, and the population rate of polyclinic attendances in Singapore for physician-diagnosed URTI, which includes influenza-like illness (ILI), for six years from 2012 through 2017. (who.int)
  • Aim: To assess case-based reasoning vs parametric modeling for quality optimization. (sciweavers.org)
  • Soil erosion and degradation assessment integrating multi-parametric methods of RUSLE model, RS, and GIS in the Shaqlawa agricultural area, Kurdistan Region, Iraq. (bvsalud.org)
  • A parametric model is called identifiable if the mapping θ ↦ Pθ is invertible, i.e. there are no two different parameter values θ1 and θ2 such that Pθ1 = Pθ2. (wikipedia.org)
  • Assuming Schanuel's Conjecture, we prove the decidability of model checking the one-parameter fragment of PCSL on continuous-time Markov chains. (dagstuhl.de)
  • In this case, you built initial parameter guesses into the model structure and wish to refine these parameter values. (mathworks.com)
  • A design parameter is a reference variable that you can use to define model dimensions and feature sizes. (volupe.se)
  • Here, we show that optical parametric oscillators (OPOs) can undergo second-order phase transitions in the spectral domain between degenerate and non-degenerate regimes. (nature.com)
  • To relax the usual assumption of a linear relationship among the latent and observed variables in a standard factor model, extensions to a non-linear latent factor model are also considered. (duke.edu)
  • Although Gaussian latent factor models are routinely used for modeling of dependence in continuous, binary and ordered categorical data, it leads to challenging computation and complex modeling structures for unordered categorical variables. (duke.edu)
  • Rule-based models, such as decision trees, are ideally suited to represent discontinuous and non-linear effects of independent variables on activity-travel choice behavior. (tue.nl)
  • These are not merely parametric uncertainties but uncertainties about the choice of the causal mechanisms themselves and the proper model variables to be used, i.e., structural uncertainties. (cdc.gov)
  • A system is often modeled by analyzing records of certain system variables. (lu.se)
  • A thermal and electrochemical model is developed for the simulation of Solid Oxide Fuel Cell (SOFC) cogeneration system in this study. (illinois.edu)
  • The method can be used for the sophisticated morphological studies and the parametric model can apply to other imaging modalities such as computed tomography and MRI. (jove.com)
  • This task consists of model selection for nonparametric component and variable selection for parametric part. (ac.ir)
  • Thus we encounter with separate model selection for each nonparametric component of each sub model. (ac.ir)
  • Through the development of the tool it became evident that perfection was impossible and instead the student created a city modelling tool that could accept a wide variety of data inputs to generate formal studies that respond to changing circumstance and legislation. (presidentsmedals.com)
  • The success of such models relies heavily upon identifying the underlying structure in the input space -- it is advantageous to know in advance which inputs are most relevant, the embedding dimension in the case of a time series, noise level, etc. (lu.se)
  • This accurate and reproducible method can be used to obtain detailed and comprehensive geometry data from vertebral endplates and to develop a parametrical model without digitizing too many landmarks. (jove.com)
  • Custom algorithms have been developed to automatically rebuild the complex and irregular geometry from mesh, towards the creation of a NURBS-based 3D model. (witpress.com)
  • On the most basic level, the beauty of feature-based parametric modeling was that engineers could create solid models with an ordered list of understandable modeling features (sketch, extrude, fillet, shell, etc.) and, by changing dimension values or adding, editing, reordering or deleting features their solid part s geometry would automatically update. (isicad.net)
  • Changing or moving a part often caused unpredictable geometry changes and broken CAD models, problems that occurred so frequently that many companies literally banned the use of in-context references altogether! (isicad.net)
  • This means that you can enable create a fully parametric model of your geometry and control it in a design space exploration. (volupe.se)
  • Information on the geometry of cyclic steps in subaerial environments is limited, and, to our knowledge, no model of cyclic step development considers plunge pool erosion. (tudelft.nl)
  • An efficient MCMC scheme is developed for posterior computation and the methods are applied to modeling dependence in nucleotide sequences and prediction from high-dimensional categorical features. (duke.edu)
  • Specifically, we develop the theory and methods for Visual to Parametric Interaction (V2PI) with data using GTM visualizations. (vt.edu)
  • cemmap provides a focus for development, understanding and application of methods for modelling individual behaviour, the influences on it and the impact of policy interventions. (cemmap.ac.uk)
  • 4) parametric methods. (lu.se)
  • In the improved model, the distributed stiffness and mass of the embedded segment of the Smart Probe are explicitly formulated in the governing equations of motion, allowing more realistic predictions of the actual dynamic features of the Smart Probe-cementitious material system. (ntu.edu.sg)
  • The primitive 3D geometric models are manipulated for generating shapes when an extrusion process is conducted. (outsource2india.com)
  • One of the most promising and recent advances in computer-based planning is the transition from classical geometric modeling to building information modeling (BIM). (uni-weimar.de)
  • This information can be used for describing, e.g., geometric/physical properties or costs of a One of the most promising and recent advances in computer-based planning is the transition from classical geometric modeling to building information modeling (BIM). (uni-weimar.de)
  • The associative model allows the automatic improvement in the model definition when more precise input data is feeding the algorithm, offering the opportunity to relate the precision of BIM models in accordance with the needed level of detail (LOD). (witpress.com)
  • Its complex parameterization of data make GTM hard to fit and sensitive to slight changes in the model. (vt.edu)
  • Four different parametric models-exponential, Weibull, log-normal and log-logistic-were applied to data both on HIV-positive cases and on cases diagnosed with AIDS collected through the national HIV/AIDS surveillance system. (who.int)
  • Kettle, the reinsurance focused deep-learning and artificial intelligence (AI) MGA, has partnered with Reask, provider of catastrophe modelling, climate analytics and data using machine learning techniques and artificial intelligence, to help it expand its offering to include US parametric hurricane reinsurance. (artemis.bm)
  • Gone are the days of basic parametric triggers now that technology, models and data can more closely match parametric coverage to users needs and exposures. (artemis.bm)
  • Kettle is planning to to offer location-level, wind speed-based parametric hurricane reinsurance in the US with the help of Reask's models and data. (artemis.bm)
  • Thanks to Reask's model and data services, Kettle has been able to rapidly prepare to enter the US parametric hurricane reinsurance space, shortening the go-to-market time. (artemis.bm)
  • The joint parcellation detection estimation model addresses this issue by inferring the parcels from fMRI data. (univ-toulouse.fr)
  • Through studying theory and collection of empirical data, a script prototype was created through Grasshopper, enabling the creation of a reinforced parametric retaining wall following a double-curved road line. (chalmers.se)
  • In the System Identification app, verify that you have the correct data set in the Working Data area for refining your model. (mathworks.com)
  • The input-output dimensions of the model must match that of the working data. (mathworks.com)
  • The model is built automatically from ERP and other data or can be developed collaboratively by hand. (boxarr.com)
  • 8.3 Model-based evaluation of liver focal lesion data. (who.int)
  • The structure of the model is chosen both with regard to the physical knowledge of the process, as well as using observed data. (lu.se)
  • Realizing phase transitions based on the optical parametric processes can provide unique opportunities for sensing. (nature.com)
  • Parametric features-based CAD tools provide a lot of power and help to automate some of the engineering processes involved in product development. (creotips.com)
  • Multinomial processing tree (MPT) models are tools for disentangling the contributions of latent cognitive processes in a given experimental paradigm. (syr.edu)
  • Non-stationary models, slowly decreasing dependence. (lu.se)
  • The generation of the geometrical model were implemented in a toolbox, the LMG (Lumbar Model Generator), with dimensions based on correlation analyses or subject-specific measurements. (bham.ac.uk)
  • The dissertations tracks a research task that began with an aim to develop and test new parametric tools using newly available parametric design software. (presidentsmedals.com)
  • As the investigations progressed the complexities of the design process limited the parametric tools to finding only near optimal envelopes as an infinite number of design solutions is always possible. (presidentsmedals.com)
  • However, further development of the parametric design tools began to demonstrate how parametric software can assist designers through quickly modelling guided solutions under defined constraints such as town planning legislation. (presidentsmedals.com)
  • The path of the research task is tracked through researching the history of parametric design and computer technology used within the design process and then testing and continually reflecting on the design process and the development of new design tools. (presidentsmedals.com)
  • Parametric suspended ceiling object for design with editable panels and accessories. (bimcomponents.com)
  • Design aid with minimal space and 3D model. (bimcomponents.com)
  • The improved analytical model can be a useful tool for optimizing the design of Smart Probes for monitoring purpose. (ntu.edu.sg)
  • The kludgiest of the kludgy parametric tools was in-context design. (isicad.net)
  • Old parametric modeling offered the powerful promise of designing parts in the context of an assembly, but unfortunately in-context design never worked very well in older parametric modelers. (isicad.net)
  • An engineer at a radiation detection company recently told me he watched the holes on a back panel of an assembly unexpectedly float around the last time he tried in-context design with his old parametric CAD system. (isicad.net)
  • Onshape has extended the power of parametric design from one part at a time to multiple interrelated parts that are naturally treated independently in assemblies, BOMs and downstream applications. (isicad.net)
  • This enables you to use the power of a single parametric history to build robust relationships between multiple parts and to enable true top-down design. (isicad.net)
  • In regards to the design phase, Skanska applies different techniques and practices in order to develop models and drawings, and changes made to the design have a major impact on the aspect of both cost and time. (chalmers.se)
  • In the desire to streamline this process, new software that enables parametric design, is challenging the status quo by linking elements to each other, and as a result, creating the dynamic environment needed in current time. (chalmers.se)
  • This study showed that parametric design has potential to be included into current work flow at Skanska. (chalmers.se)
  • Concluding, the undisputed edge that comes with parametric modelling over the classical design process, has an opportunity to revolutionize industry in the similar manner to BIM at the beginning of the decade. (chalmers.se)
  • See the complete table of contents and get a full sample chapter of ASCENT's Creo Parametric 7.0 Design Doc. (ascented.com)
  • Designed for all draftspersons that document designs using Creo Parametric, this guide focuses on how to use Creo to communicate design information from your part and assembly models. (ascented.com)
  • However, modelling real-world behavior of complex systems with an increased number of input factors opens an overwhelmingly large design space of possible innovations. (volupe.se)
  • The following four roles included in this offer connect everyone to the 3D EXPERIENCE platform to design and manage sophisticated 3D models and collaborate concurrently across disciplines. (3ds.com)
  • Subsequently, a parametric study is conducted to ascertain the influences of particle type and their weight percentage. (hindawi.com)
  • The parametric study results are discussed to infer the engine optimal settings. (strath.ac.uk)
  • We also prove that the conditional mode estimator in the normal-exponential model achieves near-minimax optimality. (syr.edu)
  • Kettle has been focused on California wildfire risks since its launch, but this partnership with Reask sees it branching out to underwrite hurricane risks on a parametric basis for the first time. (artemis.bm)
  • In the first way, we construct a parametric model to represent prior software projects. (sciweavers.org)
  • We show how to construct an MPT model without order constraints that is statistically equivalent to the MPT model with order constraints. (syr.edu)
  • The target Wiki URL is looked up in the [TracIni#interwiki-section "[interwiki]"] section of TracIni and in the InterMapTxt wiki page, modeled after MeatBall:InterMapTxt. (lu.se)
  • In this study, the analytical model of the Smart Probe previously proposed by the authors is improved. (ntu.edu.sg)
  • Parametric study conducted on the Smart Probe shows that the effect of the Poisson's ratio of the cementitious material on the resonance frequency is limited when compared with that of the dynamic modulus. (ntu.edu.sg)
  • As a result of the parametric study, fuel flow rate, cell voltage, fuel utilization and recycling rate of cathode gas turned out to improve system power output. (illinois.edu)
  • Lee, KH & Strand, RK 2009, ' SOFC cogeneration system for building applications, part 1: Development of SOFC system-level model and the parametric study ', Renewable Energy , vol. 34, no. 12, pp. 2831-2838. (illinois.edu)
  • This study evaluated soil erosion rates in the Shaqlawa district using the Geographical Information System (GIS)-based Revised Universal Soil Loss Equation (RUSLE) model. (bvsalud.org)
  • The recently developed Smart Probe based indirect EMI technique overcomes the abovementioned drawbacks of this technique, enabling parametric estimation of the cementitious material being monitored. (ntu.edu.sg)
  • In statistics, a parametric model or parametric family or finite-dimensional model is a particular class of statistical models. (wikipedia.org)
  • A statistical model is a collection of probability distributions on some sample space. (wikipedia.org)
  • Parametric family Parametric statistics Statistical model Statistical model specification Le Cam & Yang 2000, §7.4 Bickel et al. (wikipedia.org)
  • The duration up to starting and up to quitting is represented with several parametric models for the hazard function, and statistical tests are used to choose the best specification. (who.int)
  • Using likelihood based goodness-of-fit criteria the Weibull model was found to be the best-fitted model for predicting survival following a diagnosis of HIV infection without and with a diagnosis of AIDS. (who.int)
  • The Weibull model will be applied for future projections of deaths from HIV/AIDS. (who.int)
  • Several covariates-age, sex, combined HIV exposure category, CD4 cell counts, antiretroviral treatment and AIDS-defining illnesses-were included in the parametric model to predict factors associated with future mortality. (who.int)
  • Propagation of uncertainties modelled by parametric. (ubc.ca)
  • This makes efficient quantification and propagation of uncertainties in computation models a key challenge. (ubc.ca)
  • In particular, parametric p-boxes allow for separation of the latter uncertainties in the input space. (ubc.ca)
  • 10.6 Comparison of models and concluding remarks. (who.int)
  • There are two situations where you can refine estimates of linear parametric models. (mathworks.com)
  • to refine parametric model estimates. (mathworks.com)
  • 13.4 Dose-response models in risk assessment. (who.int)
  • However, one of the limitations is that the model assumes a cyclical baseline activity of Singapore is a highly developed country with strong influenza due to the distinct seasonality of background health information systems. (who.int)
  • We show that for each predictor it is possible to describe 99% of the variance through a simple up to second order parametric model. (hal.science)
  • Onshape s newest contributions to Parametric Modeling 2.0 are modern reboots of Configurations and Standard Content , but before we explore those new features, let s briefly revisit why 1988 was so wonderful for CAD users. (isicad.net)
  • It can also be noted that the set of all probability measures has cardinality of continuum, and therefore it is possible to parametrize any model at all by a single number in (0,1) interval. (wikipedia.org)
  • Parametric survival models have not previously been applied to survival following a diagnosis of HIV/AIDS in Australia. (who.int)
  • A fundamental principle of BIM is object parameterization, which allows specifying geometrical, numerical, algebraic and associative dependencies between objects contained in a building information model. (uni-weimar.de)
  • 10.5 Modeling the impact of new screening modalities on reduction of mortality from lung cancer. (who.int)
  • Method: We compared the W case-based reasoner against the SEEWAW parametric modeling tool. (sciweavers.org)
  • Designed for experienced users in the basics of Creo Parametric 8.0, this guide will teach users how to extend their modeling abilities with advanced functionality and techniques. (ascented.com)
  • In this service, we create spatial boundaries of different models by joining different points and edges. (outsource2india.com)
  • We demonstrate its finite sample properties in a Monte Carlo experiment and its practical relevance in an empirical application comparing Keynesian versus new classical macroeconomic models. (cemmap.ac.uk)
  • Using your estimation model to enrich your project management capabilities and drive fact based conversations with project stakeholders. (pmi.org)
  • Let s take a closer look at each of these aspects of Parametric Modeling 2.0. (isicad.net)
  • By considering a new convenient parametrization, these distribution results are very useful for modeling different quantiles of a response variable on the real line. (mdpi.com)
  • Liberal models have very good results in tranquil periods concerning the cost of usage. (risk.net)
  • The results indicate that the best of the models, ie, the least affected by changes in the volatility, is GARCH(1,1) with a standardized Student t distribution. (risk.net)
  • It allows the automatic preparation of the FE model, performing the mesh generation and evaluation, assigning material properties, boundary conditions and analysing the results. (bham.ac.uk)
  • The FE model of a functional unit (L1-L2) was evaluated and the FE results were in agreement with studies available in literature. (bham.ac.uk)
  • Using the work activity as a test case, the results suggest that the enhanced, hybrid model can reproduce realistic price elasticities of travel demand. (tue.nl)
  • We examine the performance of the method for different forcing sparsity on the vector x, creating a trade-off between choices of norms, and compare the results to the original the model fit and the level of sparsity. (lu.se)
  • Finally, parametric simulations were performed for gas mode operation at different loads by varying pilot fuel injection timing, inlet valve closing and inlet manifold boost pressure, aiming to identify the engine settings that simultaneously reduce CO2 and NOx emissions considering the air−fuel ratio operation window limitations. (strath.ac.uk)
  • The gradual and steady development of the 3D parametric models will allow proper visualization of the project from the primary development stage to accomplishment. (outsource2india.com)
  • Kettle and Reask are both high-tech users of AI and other technologies, so to see the pair partnering is positive for the continued expansion of the parametric risk transfer space, as we now move towards a stage in that market's development where more accurate and well-calibrated models are going to be essential for the parametric triggers to gain traction. (artemis.bm)
  • The resonance peaks predicted by both the FE and the analytical models exhibit the same trend of movement as the experiment throughout the curing process, which verifies the effectiveness of the proposed models in monitoring the strength development process of cementitious materials. (ntu.edu.sg)