Model estimation. Medical search. Frequent questions

Algorithms for implementing Maximum Likelihood estimation commonly employ Newton-Raphson iterations to solve for solution equations obtained from setting the partial derivatives of the log-likelihood functions equal to 0. (wikipedia.org)

A semiparametric estimation method is proposed that is valid when a statistical independence assumption is valid. (nber.org)
Semiparametric instrumental variable estimation of treatment response models ," Journal of Econometrics , Elsevier, vol. 113(2), pages 231-263, April. (repec.org)
Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models ," Econometrica , Econometric Society, vol. 59(2), pages 307-345, March. (repec.org)
Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models ," Cowles Foundation Discussion Papers 874R, Cowles Foundation for Research in Economics, Yale University, revised May 1989. (repec.org)
We propose an easy to use derivative-based two-step estimation procedure for semiparametric index models, where the number of indexes is not known a priori. (eur.nl)
12.3 Parametric and semiparametric estimation. (who.int)

Abstract This article develops improved calculation techniques for estimating the spatial econometric interaction model of LeSage and Pace (2008) by maximum likelihood (MLE), Bayesian Markov Chain Monte Carlo (MCMC) and spatial two-stage least-squares (S2SLS). (repec.org)
Article: Comparison of infiltration model parameter estimation techniques under different land use/land covers Journal: International Journal of Hydrology Science and Technology (IJHST) 2021 Vol.12 No.4 pp.448 - 476 Abstract: Quantification of infiltration rate of the soil is a complex problem because of its variability, selection of suitable infiltration model, and determination of infiltration model parameters which depend on various soil characteristics and land use/land cover. (inderscience.com)
ABSTRACT The burden of influenza was estimated from surveillance data in Tunisia using epidemiological parameters of transmission with WHO classical tools and mathematical modelling. (who.int)

We also investigate methods for the estimation of the precision parameter of the Dirichlet process, finding that maximum likelihood may not be desirable, but a posterior mode is a reasonable approach. (projecteuclid.org)
The refined estimation methods derive the parameter estimates and their standard errors exclusively from moment matrices with low dimensions. (repec.org)
In addition to the improved estimation methods, this article presents a new way to define a feasible parameter space for the spatial econometric interaction model, which allows to verify the models consistency with a minimal computational burden. (repec.org)
In the second part, I will discuss computationally-efficient parameter estimation for massive datasets, where we propose an important modification to the Whittle likelihood to significantly reduce bias at no additional computational cost. (cam.ac.uk)
This study compares three parameter-estimation techniques viz. (inderscience.com)
In general, an electro-hydraulic servo (EHS) system inherently suffers from parameter uncertainties and variation which makes the modeling and controller design complicated. (academicjournals.org)
In this paper, a new RLS estimator with varying forgetting factor was proposed for the recursive parameter estimation process. (academicjournals.org)
Furthermore, it also showed that algorithm is more sensitive to parameter changes and improves the estimation results for each estimated parameter instead of using fixed forgetting factor. (academicjournals.org)
Q. Fan, Y. Zhang and Z. Wang, "Improved teaching learning based optimization and its application in parameter estimation of solar cell models," Intelligent Automation & Soft Computing , vol. 26, no.1, pp. 1-12, 2020. (techscience.com)
Modeling Active Contraction and Relaxation of Left Ventricle Using Different Zero-load Diastole and Systole Geometries for Better Material Parameter Estimation. (techscience.com)
Prakash Easwaran , Claudia Redenbach , Katja Schladitz & Oliver Wirjadi , «Stochastic modeling of 3D fiber systems with fiber bundles and parameter estimation from CT image data», Acta Stereologica [En ligne], Proceedings ICSIA, 14th ICSIA abstracts, URL : https://popups.ulg.ac.be/0351-580x/index.php?id=3421. (ac.be)
We propose two parametric corrections in excess hazard regression models, including a single-parameter or a random effect ( frailty ), to account for possible mismatches in the life table and thus misspecification of the background mortality rate. (bvsalud.org)
The ARIMA (11,1,11) model for the complete data set was finally selected among ARIMA models based upon the parameter test and the Box-Ljung test. (who.int)
11.4 The data and parameter estimation. (who.int)

Estimation of a Rasch model is used to estimate the parameters of the Rasch model. (wikipedia.org)
Person estimates are generally thought to have bias associated with them, although weighted likelihood estimation methods for the estimation of person parameters reduce the bias. (wikipedia.org)
Some kind of expectation-maximization algorithm is used in the estimation of the parameters of Rasch models. (wikipedia.org)
Individual PK parameters were estimated by Bayesian estimation using a published pediatric PK model. (lww.com)
We extend these estimation methods to spatiotemporal trajectories, such that we can estimate parameters that reveal the nature of the anisotropic structure. (cam.ac.uk)
Parameters in spatial-temporal point process models are typically fit by maximum likelihood estimation (MLE), or some close variant. (scec.org)
This device can be used to obtain consistent estimates of the parameters of the partial adjustment model. (econometricsociety.org)
The adhesive component of friction has been estimated by means of a new approach based on two different models found in literature, whose parameters have been identified thanks to a wide experimental campaign previously carried out. (researchgate.net)
This paper presents a new method for estimating the parameters of multi-channel pilot models that is based on maximum likelihood estimation. (tudelft.nl)
Accurate estimates of the pilot model parameters and the remnant characteristics were obtained. (tudelft.nl)
conventional graphical method, generalised reduced gradient (GRG) optimisation and Levenberg-Marquardt algorithm (LMA) for estimation of infiltration model parameters of Horton, Kostiakov, modified Kostiakov and Philip, and select the best fit method. (inderscience.com)
From the comparative analysis, it was observed that LMA is the most suitable technique to ascertain the parameters of selected infiltration models. (inderscience.com)
Quantification of infiltration rate of the soil is a complex problem because of its variability, selection of suitable infiltration model, and determination of infiltration model parameters which depend on various soil characteristics and land use/land cover. (inderscience.com)
We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small T and large N. The moments used are derived for each period from a first order approximation of the mean of the dependent variable conditional on explanatory variables and on the fixed effect. (zew.de)
Finally, ITLBO is employed to estimate parameters of two solar cell models. (techscience.com)
Determination of the parameters of this model is usually done by fitting the model to results from measurements or ray tracing. (lu.se)
The authors present examples of weighted fitting models, and models with and without the censored data, for 28 GHz channels in urban macrocells, and show that these effects have a significant impact on the extracted parameters and that the fitting accuracy can be improved with the presented methods. (lu.se)
The paper proposes an adversarial minimax two player game approach for optimising the parameters of a generalised structural equation model (SEM) formulated as a saddle-point problem. (nips.cc)
More realistic versions of this model and improved estimates of parameters from surveillance data will strengthen the estimation of the burden of influenza. (who.int)
This may affect the background mortality rate allocated to each patient , and it has been shown that not including relevant information for assigning an expected mortality rate to each patient induces a bias in the estimation of the regression parameters of the excess hazard model . (bvsalud.org)
In that study, a multiple-input adaptive linear combiner was de- tomated systems for detection of arrhythmias considerably re- veloped for the purpose of jointly estimating the Hermite model parameters, including the width. (lu.se)

Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss ," Econometrica , Econometric Society, vol. 63(6), pages 1445-1476, November. (repec.org)
Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss ," Working papers 93-2, Massachusetts Institute of Technology (MIT), Department of Economics. (repec.org)

2013). Thus, on the basis of the new model, a dependable prediction for ornamental stones production is put forward in this paper. (hindawi.com)
According to [ 11 ], two models of empirical performance prediction have been put forward, in which Schmidt hammer rebound values and Cerchar abrasivity index are employed for predicting. (hindawi.com)
In this paper, we provide estimation and inference procedures for structural prediction and counterfactual analysis in such models. (ssrn.com)
The correct reproduction of friction phenomenology and the model prediction capabilities are highlighted making particular reference to grip variability due to changes in working conditions. (researchgate.net)
Best fitting criterion, final prediction errors, minimum of loss function and correlation analysis were utilized to investigate the validity of the developed model. (academicjournals.org)

Westat designed a sophisticated statistical SAE modeling approach to produce model- based estimates for the Program for the International Assessment of Adult Competencies (PIAAC). (westat.com)
Based on this review and input from international experts, a sophisticated statistical modeling approach was selected and used to produce indirect estimates, which are available to the public on the PIAAC Skills Map website, which can be accessed by visiting https://nces.ed.gov/surveys/piaac/ skillsmap/ , with background and supplemental information provided here https://nces.ed.gov/surveys/ piaac/state-county-estimates.asp . (westat.com)
All of these developments indicate that the spatial econometric extension of the traditional gravity model has become an increasingly mature alternative and should eventually be considered a standard modeling approach for origin-destination flows. (repec.org)
The context-dependent modeling approach we present here computes the HMM context-dependent observation probabilities using a Bayesian factorization in terms of context-conditioned posterior phone probabilities which are computed with a set of MLPs, one for every relevant context. (sri.com)
With primary focus on estimating 3D shapes of non-rigid articulated objects such as human bodies, we illustrate our approach with examples of eﬃcient model Þtting to 3D occupancy maps of human Þgures. (sciweavers.org)
Yet both the LTV calculations and the LGD estimations under the advanced internal ratings-based approach (A-IRB) may have significant biases. (risk.net)
With increased attention on the broken child care market and the urgent need for a more effective and equitable approach to how states fund access to quality child care, this webinar will discuss what a cost estimation model is, the process of developing a model, and how a model can be used to inform child care policy, such as subsidy rates and grants or contracts. (buildinitiative.org)
Join this webinar to explore how cost modeling and family child care comes together, the benefits to this modeling approach and impact on understanding family child care operations. (buildinitiative.org)
In recursive estimation, the proposed technique gave better estimations in terms of convergence speed and accuracy as compared to the conventional approach. (academicjournals.org)
To cap the deadly effect caused by the pandemic, we apply a statistical modelling approach to investigate and predict COVID-19 incidence. (who.int)
9. A Unified Modeling Approach: From Exposure to Disease Endpoints (Chao W. Chen). (who.int)
9.2 Conventional approach to modeling carcinogenesis. (who.int)

Secondly, we propose a consistent two-step estimation procedure which does not rely on knowledge of any factor estimates, and explain how to compute correct standard errors. (repec.org)
Model results are finally shown and discussed and the validation experimental procedure is described. (researchgate.net)
The experimental work began with an organized procedure in developing a linear discrete-time model by emphasizing the offline identification process. (academicjournals.org)
This paper proposes a new estimation procedure of structural equation models based on a min-max game formulation in which both players are represented by neural networks. (nips.cc)
9.6 A computing procedure for the three-stage model. (who.int)

We present recent progress on mathematical and computational aspects of this problem: (1) the impact of the PDE approximation error on the failure probability estimate, and (2) the use of the Ensemble Kalman Filter for the estimation of failure probabilities. (esi.ac.at)
Several benchmarks show that these moment based estimators scale very well to large samples and can be used to estimate models with 100 million flows in just a few minutes. (repec.org)
Apply various factors to this estimate to account for difference between use cases in hand and those in the estimation model. (tdan.com)
Next, we omit subsets of explanatory variables and estimate ToE models with discrete distributions for the ensuing systematic unobserved heterogeneity. (repec.org)
The estimation of portfolio value-at-risk (VaR) requires a good estimate of the covariance matrix. (risk.net)
As it is well known that a sample covariance matrix based on some historical rolling window is noisy and is a poor estimate for the high-dimensional population covariance matrix, to estimate the conditional portfolio VaR we develop a framework using the dynamic conditional covariance model, within which various de-noising tools are employed for the estimation of the unconditional covariance target. (risk.net)
ATSDR planned to extensively use water-distribution system models to estimate historical contaminant concentrations in the systems. (cdc.gov)
In cancer epidemiology using population -based data, regression models for the excess mortality hazard is a useful method to estimate cancer survival and to describe the association between prognosis factors and excess mortality. (bvsalud.org)

Details can be found in the chapters by von Davier (2016) for the dichotomous Rasch model and von Davier & Rost (1995) for the polytomous Rasch model. (wikipedia.org)
von Davier M., Rost J. (1995) Polytomous Mixed Rasch Models. (wikipedia.org)

Sampling information and data from the survey are used in conjunction with correlated data from other data sources in statistical models to produce the estimates of interest. (westat.com)
These model-dependent estimates are called "indirect" (or small area) estimates to distinguish them from "direct" (or standard) estimates that do not depend on the validity of a statistical model. (westat.com)
We validate the model empirically by using various coverage tests and loss function measures and discover that the choice of de-noising treatments for the covariance target plays a critical role in measuring the accuracy of the dynamic portfolio VaR estimates. (risk.net)
This paper validates the BBR ADMs by comparing derived ﬂux estimates against ﬂux retrievals obtained from the Clouds and the Earth's Radiant Energy System (CERES) Terra models. (knmi.nl)
The objective of this meta-analysis, which consisted of 36 studies containing 86 materials, was to assess the availability of published in vivo rodent pulmonary toxicity data for a variety of nanoscale and microscale materials and to derive potency estimates via benchmark dose modeling. (cdc.gov)
Using the estimates from our location and demand models, we reconsider a recent public policy issue among states and simulate tax avoidance under alternative cigarette excise tax levels. (who.int)
Some of our main research activities are driven by questions, such as the following: 1) Is it possible to reduce the uncertainties in our estimates of vegetation productivity and ecosystem respiration by combining in situ, EO and dynamic vegetation modelling methods? (lu.se)
Modelling a future forecast that estimates the regular number of confirmed cases enhances the implementation of rules aimed at controlling the spread of COVID-19. (who.int)

The most common approaches are types of maximum likelihood estimation, such as joint and conditional maximum likelihood estimation. (wikipedia.org)
We interpret an ecological inference model as a treatment effects model in which the outcomes of interest and the conditional covariates come from separate datasets. (ssrn.com)

Bayesian estimation showed an estimated CL/F of 15.0 L/h in the days preceding the PRES event, compared with a population mean of 16.3 L/h (95% confidence interval 14.9-17.7 L/h) for CYP3A5 expressers of the same age and weight. (lww.com)
The results suggest the ability of model-informed Bayesian estimation to characterize an acute decline in oral tacrolimus clearance after the development of PRES and the role that PK estimation may play in supporting dose selection and individualization. (lww.com)

This paper considers the identification and estimation of hedonic models. (nber.org)
The identification scheme for the model with macro factors and regime shifts as in Ang et al. (springer.com)

This paper extends the minimum-chi-square estimation for affine term structure models to a regime switching framework, and corrects the estimation bias in the regime switching dynamic term structure model. (springer.com)
In this paper we present a training method and a network architecture for estimating context-dependent observation probabilities in the framework of a hybrid hidden Markov model (HMM) / multi layer perceptron (MLP) speaker-independent continuous speech recognition system. (sri.com)
It therefore stands to reason that what a business system project should achieve and consequently in what time and resource framework should it achieve this, is dictated by the underlying data model. (tdan.com)
In the first part of this talk I will present a framework for stochastically modelling such trajectories in time over two-dimensional space. (cam.ac.uk)
Radiative Flux Es- timation from a Broadband Radiometer Using Synthetic Angular Models in the Earth- CARE Mission Framework. (knmi.nl)
This study introduces a complete framework for generalized structural equation models in which the original problem is first regularized prior to being reformulated (through a saddle-point reformulation) using neural networks to approximate the functions to be optimized. (nips.cc)

5.4 Modeling cancer incidence. (who.int)

However, the purpose of this paper is not to compare the bias of regime switching models with affine models. (springer.com)
Both models should be economically motivated, and it is an empirical question which sample period is more subject to bias. (springer.com)
Bauer MD, Rudebusch GD, Wu JC (2012) Correcting estimation bias in dynamic term structure models. (springer.com)

Estimation methods for Rasch measures. (wikipedia.org)
These new and powerful methods are particularly useful in signal processing applications where signal models are only partially known and are in noisy environments. (e-booksdirectory.com)
Linear regression models are the most major methods used in the past study. (actapress.com)
Multistate models provide important methods of analysis for many life history processes, and this is an area where John Klein made numerous contributions. (uwaterloo.ca)
We review methods of estimation and assessment for Markov models in this situation. (uwaterloo.ca)

Expectation-maximization algorithm Rasch model Linacre, J.M. (2004). (wikipedia.org)
An EM Algorithm for Conditionally Heteroscedastic Factor Models ," Journal of Business & Economic Statistics , American Statistical Association, vol. 16(3), pages 357-361, July. (repec.org)
An EM Algorithm for Conditionally Heteroskedastic Factor Models ," Working Papers wp1996_9615, CEMFI. (repec.org)
The technique employs a binocular camera system and an algorithm termed hierarchical feature vector matching to derive an elevation model, as well as to compute the interframe correspondences for tracking. (joanneum.at)
It is argued that this algorithm unifies the procedures of range estimation (i.e., stereo correspondence), tracking (i.e., interframe correspondence), and recognition (input/model correspondence). (joanneum.at)
The evaluation of the multi-angular models with scenes with high anisotropy shows that the multi-view ﬂux conversion algorithm improves the CERES ADM results when CERES ﬂux discrepancies are higher than 4 W m−2 in the LW domain and SW clear-sky scenes, and higher than 20 W m−2 in SW targets with cloudy conditions. (knmi.nl)
A tractable estimation algorithm for generalised SEMs. (nips.cc)
Although as mentioned above, I can understand that the work is primarily focused on being a theoretical contribution, however, for applied practitioners of SEM models, the paper might have more appeal if the algorithm is demonstrated and compared to other approaches on a real-world practical problem, e.g. the demand estimation problem considered in the Dual IV paper as well as in other prior work. (nips.cc)
9.4 Self-organizing algorithm for state space modeling. (who.int)

To predict the remaining useful lifetime of a motor, domain experts commonly employ physical simulations based on 3D-CAD models. (uni-muenchen.de)

Small area estimation (SAE) includes a variety of statistical techniques to predict survey outcomes typically for small geographic areas. (westat.com)
I will show an application to modelling fluid particles in ocean turbulence, where trajectories are typically anisotropic due to spherical dynamics. (cam.ac.uk)
Path loss is typically modelled as a (single-slope or multi-slope) power-law dependency on distance plus a log-normally distributed shadowing attenuation. (lu.se)

Get full access to Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook and 60K+ other titles, with a free 10-day trial of O'Reilly. (oreilly.com)
Get Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook now with the O'Reilly learning platform. (oreilly.com)

The estimation of the probability of rare events is an important task in reliability and risk assessment of critical societal systems, for example, groundwater flow and transport, and engineering structures. (esi.ac.at)
The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. (e-booksdirectory.com)
Context-dependent connectionist probability estimation in a hybrid hidden Markov model-neural net speech recognition system. (sri.com)

We investigate several important inference issues for factor models with dynamic heteroskedasticity in the common factors. (repec.org)

Community (SADC) member states from March 5, 2020, to July 15, 2021, we model and forecast the spread of coronavirus in the region. (who.int)
Katoch and Sidhu (2021) predicted the spread and the final size of the COVID-19 epidemic in India using the ARIMA model. (who.int)

We establish that in an additive version of the hedonic model, technology and preferences are generically identified up to affine transformations from data on demand and supply in a single hedonic market. (nber.org)
Much of the confusion in the empirical literature that claims that hedonic models estimated on data from a single market are fundamentally underidentified is based on linearizations that do not use all of the information in the model. (nber.org)
Examples are given to show how these models perform on real data. (projecteuclid.org)
More specifically, this paper will outline a methodology for implementing a dynamic prognoser that can be incrementally trained to learn general (physical model output, expert opinion, etc.) and specific ("real world" data) degradation trends. (aaai.org)
This work will demonstrate the viability of the proposed method by applying a particular embodiment, namely the path classification and estimation (PACE) model, to data collected from a deep-well oil exploration drill. (aaai.org)
Data modeling is no doubt one of the most important and challenging aspects of developing, maintaining, augmenting and integrating typical enterprise systems. (tdan.com)
It therefore stands to reason that individuals managing enterprise projects should leverage on data modeling to execute their projects successfully and deliver not only capable and cost effective but also maintainable and extendable systems. (tdan.com)
Virtually all of these activities are influenced by evolution of the data model and may benefit by taking it as the primary reference. (tdan.com)
This series of articles by Amit Bhagwat will go through the links between data modeling and various aspects of project management, beginning with importance of Data model in estimation process. (tdan.com)
Given that business systems largely involve creating data from data through data, the above reasoning translates into: the project workers / estimators were wrong or inadequate in their understanding of the underlying data manipulation, and therefore structure / model of the data (persistent or otherwise). (tdan.com)
In other words, realistic (this is earthly equivalent of 'accurate' in wonderland) estimation of efforts in business systems projects is function of a fairly representative data model of the business. (tdan.com)
We show how to utilize hierarchical (pyramid-like) object segmentation data to regularize a hierarchical model Þtting. (sciweavers.org)
This article focuses on the machine learning based estimation of the remaining useful life of unknown, derived motor types of an electric motor class based on simulations of known motor types, as well as data sheets and measurements. (uni-muenchen.de)
Much effort was spent on raising awareness of how limitations in data impact model quality, and we have had many fruitful discussions with public health and epidemiology professionals. (lu.se)
Satellite sensor-derived data are suitable for regional or global estimations of CO₂ exchange. (lu.se)
By using vegetation indices, such as the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI), as input data to light use efficiency (LUE) models and LUE-based empirical models, the photosynthetic uptake of CO₂ has been estimated for several ecosystems in the Nordic countries, the Sahel in Africa and in Greenland. (lu.se)
8.3 Model-based evaluation of liver focal lesion data. (who.int)

There are almost as many approaches to Project Estimation as there are to the overall execution of project activity. (tdan.com)
During the meeting, the ATSDR technical team provided overviews and technical details pertaining to the modeling approaches and activities performed to date. (cdc.gov)
10.4 Review of modeling approaches. (who.int)

This paper demonstrates that the application of linear combination method results less advisable when outgoing radiances do not follow the response modelled in the radiative transfer calculations. (knmi.nl)

We calibrate and test models against eddy covariance tower measurements of CO₂ exchange. (lu.se)
Gathering clinical measurements over time can improve disease risk estimation. (cdc.gov)
For example, a recent study modeled 2.1 billion measurements from 92 different laboratory tests in 2.8 million adults over a span of 18 years. (cdc.gov)

This project came together as an ad-hoc reaction to the participants' urge to contribute to pandemic modeling, leveraging expertise from the dynamical systems community in Sweden. (lu.se)

Dr. Aydin's research group combined computer modeling with natural examples and laboratory experiments, and have extensive experience in programming associated with geology and structural geology. (fundacionbyb.org)
9.5 Some examples of state space models. (who.int)

The estimator readily extends to multiple equation models and is shown to be root-N-consistent and asymptotically normal. (eur.nl)

A model-informed PK assessment was performed to assist with precision dosing. (lww.com)
13.4 Dose-response models in risk assessment. (who.int)

The course covers theoretical models for the structure and reactions of atomic nuclear, as well as experiments in nuclear physics and their scientific applications. (lu.se)

However, the scale-free network model has opened a new chapter in the theoretical understanding of complex networks [ 7 ]. (hindawi.com)

2020) predicted the daily confirmed COVID-19 cases for Malaysia using the ARIMA model. (who.int)

8. Stochastic Carcinogenesis Models (Annette Kopp-Schneider, Iris Burkholder and Jutta Groos). (who.int)
8.2 Stochastic models for hepatocarcinogenesis. (who.int)

Remaining useful life estimation is a research topic of high relevance in the area of structural mechanics. (uni-muenchen.de)

The partial adjustment model has been used in many areas of applied economics as a description of optimal behavior in the face of adjustment costs. (econometricsociety.org)
Title: Modelling driver behavior with artificial neural networks. (lu.se)

Furthermore, characteristics of linear regression models using different error distributions have not studied with actual datasets. (actapress.com)

Ball CA, Torous WN (1996) Unit roots and the estimation of interest rate dynamics. (springer.com)

Since LUE models describe how radiation energy is converted into biomass, the incoming photosynthetically active radiation that is absorbed by vegetation (APAR) is an essential input to these models. (lu.se)
Title: Non-destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning. (lu.se)

Based on the samples gathered among 5 various marble quarries in Mugla province of Turkey, a number of statistical models have been suggested by [ 12 ]. (hindawi.com)
Statistical forecast models play a role in predicting future epidemic threats, managing of societal, economic, cultural, and public health matters. (who.int)

We develop a new Gibbs sampler for a linear mixed model with a Dirichlet process random effect term, which is easily extended to a generalized linear mixed model with a probit link function. (projecteuclid.org)

To promote the efficiency in planning these rock sawing projects, scholars have been trying to find a high-accuracy method of production rate estimation. (hindawi.com)
For the computation of these moments, we exploit efficiency gains linked to a matrix formulation of the model, which we generalize to make more flexible use of the exogenous variables. (repec.org)
This paper discusses the asymptotic efficiency of the maximum likelihood estimation (MLE) when the fece tracking model is specified as vector autoregression (VAR). (ieice.org)

We propose a prudent methodology to correct for potential biases in LGD estimations due to historical price appreciations, appraisal biases and depreciation or potential damage to the house. (risk.net)

Efforts to improve the precision and reliability of estimating PMI are ongoing, including the use of artificial intelligence in PMI estimation. (medscape.com)

13. Dose-response Modeling (Lutz Edler, Annette Kopp-Schneider and Harald Heinzl). (who.int)
13.3 Dose-response models. (who.int)

System dynamics was used to model the interactions within the three main sectors that will affect the projects performance, waste, energy and climate. (lu.se)

They are justified by nonlinearities that are generic features of equilibrium in hedonic models. (nber.org)
Chen R-R, Scott L (1993) Maximum likelihood estimation for a multifactor equilibrium model of the term structure of interest rates. (springer.com)

This study compared log-normal and Gamma regressions for effort estimation in terms of their predictive performance. (actapress.com)

The instantaneous top-of-atmosphere (TOA) radiance-to-ﬂux conversion for the Broad-Band Radiometer (BBR) on-board the Earth Clouds Aerosols and Radiation Explorer (Earth- CARE) is assessed by developing theoretical angular distribution models (ADMs) speciﬁcally designed for the instrument viewing conﬁguration. (knmi.nl)

Meanwhile, the precision has been greatly improved with comparison to the model of estimating the production rate designed by Mikaeil et al. (hindawi.com)

7. Modeling Exposure and Target Organ Concentrations (Karen H. Watanabe). (who.int)

In particular, we propose the hybrid fusion method moSAIc that allows to transfer the knowledge inherent in physical degradation models of motors to unknown instances. (uni-muenchen.de)

Furthermore, a scale-free network is introduced to develop a network public opinion propagation model based on the scale-free network to tackle the problem that the existing public opinion propagation model cannot fully reflect the law of public opinion propagation in real life. (hindawi.com)
Path loss models are the most fundamental part of wireless propagation channel models. (lu.se)

The exact economic model that justifies widely used linear approximations has strange properties so the approximation is doubly poor. (nber.org)
Effort estimation models are widely investigated because they have an advantage over expert judgment in terms of objectivity and repeatability. (actapress.com)

Our results also apply to dynamic versions of the APT, dynamic factor models, and vector autoregressions. (repec.org)
These results contribute some suggestions to effort estimation model construction. (actapress.com)
Derived results for precise statements about the rate of error in estimation. (nips.cc)

While these studies carefully determined predictor variables and model formulation, error distributions are fewer considered. (actapress.com)

Diseases1

Analytical, Diagnostic and Therapeutic Techniques and Equipment34

Psychiatry and Psychology1

Phenomena and Processes12

Disciplines and Occupations5

Information Science10

Health Care19

Implementing Maximum Likelihood1

Semiparametric6

Abstract3

Parameter14

Parameters21

Nonparametric Estimation2

Prediction5

Approach12

Procedure5

Estimate8

19952

Estimates8

Conditional2

Bayesian2

Identification2

Framework6

Incidence1

Bias3

Methods5

Algorithm9

Commonly employ1

Typically3

Least-squares2

Probability3

Investigate1

20212

Data17

Approaches3

Calculations1

Measurements3

Pandemic1

Examples2

Consistent1

Assessment2

Experiments1

Chapter1

20201

Stochastic2

Structural1

Behavior2

Regression models1

19961

Biomass2

Statistical2

Probit1

Efficiency3

Biases1

Artificial Intelligence1

Dose2

Dynamics1

Equilibrium2

Predictive1

Theoretical1

Precision1

Concentrations1

Inherent1

Propagation2

Widely2

Results3

Formulation1