Is the Shape of the Age-Crime Curve Invariant by Sex? Evidence from a National Sample with Flexible Non-parametric Modeling |...
Objectives Prior theoretical scholarship makes strong assumptions about the invariance of the age-crime relationship by sex. ... Methods. To address the limitations of the existing empirical literature, a novel localized modeling approach is used that does ... With a non-parametric method-B-spline regression, the study models self-report criminal behavior and arrest by sex using age as ... Prior theoretical scholarship makes strong assumptions about the invariance of the age-crime relationship by sex. However, ...https://rd.springer.com/article/10.1007/s10940-014-9225-6
Guidance for the Conduct and Reporting of Modeling and Simulation Studies in the Context of Health Technology Assessment |...
... with empirical results unavailable at the time of model development is not an appropriate method of assessment for models ... explicitly and justified based on theoretical considerations and the understanding of the mechanisms underlying the modeled ... or theoretical (formal) models (e.g., a mathematical description of the flow of air around an airplane wing).18,19 Models that ... Models should be as complex as needed to capture all pertinent aspects of the system being modeled, but not more ("rule of ...https://effectivehealthcare.ahrq.gov/topics/decision-models-guidance/methods/
Discrete choice - Wikipedia
Estimation of such models is usually done via parametric, semi-parametric and non-parametric maximum likelihood methods. The ... Luce, R. D. (1959). Individual Choice Behavior: A Theoretical Analysis. Wiley. Ben-Akiva, M.; Lerman, S. (1985). Discrete ... Techniques such as logistic regression and probit regression can be used for empirical analysis of discrete choice. Estimation ... and demand can be modeled empirically using regression analysis. On the other hand, discrete choice analysis examines ...https://en.wikipedia.org/wiki/Discrete_choice
Stochastic empirical loading and dilution model - Wikipedia
... and the basin development factor SELDM models the potential effect of mitigation measures by using Monte Carlo methods with ... Thus, SELDM is an empirical model based on data and statistics rather than theoretical physicochemical equations. SELDM is a ... In SELDM, these three treatment variables are modeled by using the trapezoidal distribution and the rank correlation with the ... Stochastic empirical loading and dilution model (SELDM) version 1.0.0: U.S. Geological Survey Techniques and Methods, book 4, ...https://en.wikipedia.org/wiki/Stochastic_empirical_loading_and_dilution_model
Patent US8170808 - Methods and computer software for detecting splice variants - Google Patents
In general the methods involve normalizing probe set or exon intensity to an expression level measurement of the gene. The ... methods may be used to identify tissue-specific alternative splicing events. ... Methods and software products for analysis of alternative splicing are disclosed. ... Comparison of Empirical p-Values with Theoretical p-Values. FIG. 5. : The log-scale error in approximating background by three ...http://www.google.com/patents/US8170808?dq=patent:7076806
Prediction of Bispectral Index during Target-controlled Infusion of Propofol and Remifentanil:A Deep Learning Approach |...
The empirical model consisted of two neural networks such as long short-term memory and feed-forward neural network, which were ... A grid search method was used for hyperparameter optimization. A total of 18 combinations have been tested for the number of ... The long short-term memory in this study has a substantial difference as well as theoretical similarity from the traditional PK ... Finally, the traditional PK-PD models built using a small number of study participants in a limited experimental setting lack ...http://anesthesiology.pubs.asahq.org/article.aspx?articleid=2656314
Testing Consumer Behavior Theories: Lisrel Is Not a Panacea by Banwari Mittal
In all four models, only correlational linkages are modeled among the 3 antecedents. Both models 'B' and 'C' fit better than ... And when LISREL supports them, it is legitimate to assert empirical validity for those causal models. It is to be understood, ... such as simultaneous estimation of models for multiple groups) should deservedly make LISREL the preferred method in many ... The use of causal modeling for testing theoretical relationships is increasing in consumer research. Since the publication of ...http://www.acrwebsite.org/volumes/7534/volumes/v20/NA-20
Predicting the emergence of drug-resistant HSV-2: new predictions | BMC Infectious Diseases | Full Text
We generated theoretical drug-resistant HSV-2 strains that were attenuated (in comparison with drug-sensitive strains) in both ... Mathematical models can be used to predict the emergence and transmission of antiviral resistance. Previously it has been ... Methods. We generated theoretical drug-resistant HSV-2 strains that were attenuated (in comparison with drug-sensitive strains ... These theoretical predictions have been compared with empirical data, and shown to be valid [4, 6]. In stark contrast to the ...https://bmcinfectdis.biomedcentral.com/articles/10.1186/1471-2334-3-1
Materials and Methods. Network organization.. We modeled networks of excitatory (75%) and inhibitory (25%) neurons (n = 2500) ... Linking model behavior to empirical observations. To our knowledge, there are no empirical reports investigating neuronal ... Cumulative distribution function (CDF) shown for a theoretical power-law (black line) with exponent −1.5. κ is calculated by ... Insulin Treatment Prevents Neuroinflammation and Neuronal Injury with Restored Neurobehavioral Function in Models of HIV/AIDS ...http://www.jneurosci.org/content/32/29/9817
Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus...
Theoretical and empirical investigation were proposed by He et al.  to predict the surface finish obtained in a turning ... regression analysis method and adaptive neurofuzzy inference system of MATLAB (ANFIS). These models have been validated using ... In fuzzy inference systems, all expert knowledge about the process is modeled by a set of rules. The set of rules has two parts ... C. L. He, W. J. Zong, Z. M. Cao, and T. Sun, "Theoretical and empirical coupled modeling on the surface roughness in diamond ...https://www.hindawi.com/journals/amse/2017/2759020/
Lower critical solution temperature - Wikipedia
There are three groups of methods for correlating and predicting LCSTs. The first group proposes models that are based on a ... doi:10.1016/s0032-3861(98)00480-7. Vetere, A (1998). "An Empirical Method To Predict the Liquid−Liquid Equilibria of Binary ... solid theoretical background using liquid-liquid or vapor-liquid experimental data. These methods require experimental data to ... Within statistical mechanics, the LCST may be modeled theoretically via the lattice fluid model, an extension of Flory-Huggins ...https://en.wikipedia.org/wiki/Lower_critical_solution_temperature
History of political science - Wikipedia
The Darwinian models of evolution and natural selection exerted considerable influence in the late 19th century. Society seemed ... Gunnell argues that since the 1950s the concept of system was the most important theoretical concept used by American political ... But it also meant the application of rigorous scientific and statistical methods to standardize testing and to attempt value ... Behavioralism (Behaviouralism) is an empirical approach which emerged in the 1930s in the United States. It emphasized an ...https://en.wikipedia.org/wiki/History_of_political_science
Social simulation - Wikipedia
More recently, Ron Sun developed methods for basing agent-based simulation on models of human cognition, known as cognitive ... The behavior of populations of agents under these models is rarely tested or verified against empirical observation. Agent- ... This theoretical outlook on social situations uses a wide range of information to determine what should happen to society and ... others have modeled the emergence of norms using memes, or how social norms and emotions can regulate each other. Institutions ...https://en.wikipedia.org/wiki/Social_simulation
Frontiers | Editorial: Modeling the Plankton-Enhancing the Integration of Biological Knowledge and Mechanistic Understanding |...
2016). The predictive capabilities of these models, in particular under changing environmental conditions, naturally rely ... and especially ecosystem models, have developed into an important tool for policy advice and environmental management ... Incorporating these remarkably variable empirical data in a model simulation showed that M. longa predation had minimal impact ... modeled copepod life history traits and adaptation in seasonal environments. Their modeling experiments demonstrate that ...https://www.frontiersin.org/articles/10.3389/fmars.2017.00358/full
Patent US8026842 - Method for surveillance to detect a land target - Google Patents
The first method is to develop probability density functions (based on theoretical statistical models or empirical histograms) ... The effects of multipath can be modeled with assumed or measured terrain and atmospheric conditions. The clutter is highly ... Method for detecting a target. US7800527 *. Oct 11, 2005. Sep 21, 2010. Douglass Robert J. System and method for standoff ... Method and system for performing surveillance. US20100283662 *. Jun 8, 2007. Nov 11, 2010. Fox Phillilp A. Method for ...http://www.google.com/patents/US8026842
Discourse competence as important part of academic language proficiency in mathematics classrooms: the case of explaining to...
Prediger, S., Bikner-Ahsbahs, A., & Arzarello, F. (2008). Networking strategies and methods for connecting theoretical ... then by searching for empirical and theoretical alignment of dually conceptualized phenomena. This way of coordinating two ... 3). Monir shifts to the meaning of the weight symbols (--models-- ,,meaning & connection,,) and then to the mode ,,explicit ... the teacher navigates back to the mathematical core of the episode by asking how the situation might be modeled. In the ...https://link.springer.com/article/10.1007/s10649-018-9830-7
Individual differences in emotion word processing: A diffusion model analysis | SpringerLink
9 quantiles are marked by circles for empirical data and triangles for theoretical data. The figures show the probability of ... Behavior Research Methods, 40(1), 61-72. doi: 10.3758/BRM.40.1.61 CrossRefPubMedGoogle Scholar ... In addition, regression models for outcome parameters (RTs, error rates, and drift rates) will be computed to examine the ... An illustration of decision processes in the lexical decision task modeled by a DM: a indexes the boundary width that can vary ...https://link.springer.com/article/10.3758%2Fs13415-016-0408-5
A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
... discrete optimization methods among other related topics. The journal provides a channel of communication between scientists ... by applying the theoretical models to the city of Hangzhou, China. The computations lend support to the theoretical inferences ... from the city center declines monotonically, Clark  proposed an empirical model that can be written as where is a constant ... which can be estimated by the box-counting method ; the second is radial dimension. , which is defined by the area-radius ...https://www.hindawi.com/journals/ddns/2008/728420/
Kenneth D. Mackenzie - Wikipedia
However, he tries to ignore any latent preconceived specific theory or a fixed toolkit of methods. To him the phenomena is ... His purpose is to use each research adventure to help erect a less ramshackle theoretical edifice for the group and ... These structural change processes can be modeled and explained. Most group and organizational behavior takes place "outside" of ... Bernhardt Irwin, Mackenzie Kenneth D (1972). "Some problems in using diffusion models for new products" (PDF). Management ...https://en.wikipedia.org/wiki/Kenneth_D._Mackenzie
Applied information economics - Wikipedia
... not new method and is based on previously-developed components that have a sound theoretical basis and/or have strong empirical ... Since it uses the Monte Carlo method, uncertainty can be modeled explicitly. Unlike most decision-theory analysis of uncertain ... It is a significant improvement on Monte Carlos models that have no calibration for initial estimates, but there is no ... Empirical methods applied according to the information value of the measurement. This step is, in fact, the reason for the name ...https://en.wikipedia.org/wiki/Applied_information_economics
Analytic Methods for Volumetric Scattering
An Empirical BSSRDF Model SIGGRAPH 09. Current scattering models are tuned to the two extremes of thin media and single ... In our second approach, which we believe to be a significant theoretical and practical contribution to real time rendering, we ... scattering, or highly scattering materials modeled using the diffusion approximation. The vast intermediate range of materials ... Analytic and Data-Driven Methods for Volumetric Scattering. We focus on rendering the effects of scattering in participating ...https://cseweb.ucsd.edu/~ravir/projects/scattering.html
Molecular dynamics - Wikipedia
The method was originally developed within the field of theoretical physics in the late 1950s but is applied today mostly in ... Paci, E; M Vendruscolo; M Karplus (2002). "Validity of Go Models: Comparison with a Solvent-Shielded Empirical Energy ... RNA structure in the ribosome and other large systems has been modeled with one pseudo-atom per nucleotide. The simplest form ... Ab initio calculations produce a vast amount of information that is not available from empirical methods, such as density of ...https://en.wikipedia.org/wiki/Molecular_dynamics
Nanomechanics of Full-Length Nebulin: An Elastic Strain Gauge in the Skeletal Muscle Sarcomere
... empirical mode decomposition (EMD) method of the Hilbert-Huang Transform (HHT)(50) (Figures 5C and F). For the autocorrelation ... Detailed analysis of the complex craggy mountain range type of force spectra (Figures 3B and and4)4) by WLC models as well as ... A) Structural simulation of stretching one nebulin superrepeat (modeled by ROSETTA) to 0, 43, 80, 100%. Note that the 0 and 43 ... A recent experimental and theoretical study of the hydrophobic collapse of proteins has called the purely entropic model of ...http://pubmedcentralcanada.ca/pmcc/articles/PMC2998391/?lang=en-ca
Theoretical ecology - Wikipedia
Theoretical results are often verified by empirical and observational studies, revealing the power of theoretical methods in ... may best be modeled over either continuous or discrete time. Other examples of such models may be found in the field of ... Theoretical ecology is the scientific discipline devoted to the study of ecological systems using theoretical methods such as ... One class of computational models that is becoming increasingly popular are the agent-based models. These models can simulate ...https://en.wikipedia.org/wiki/Theoretical_ecology
Brent prices and oil stock behaviors: evidence from Nigerian listed oil stocks | SpringerLink
Theoretical framework * Estimation technique and model specification * Data and empirical analysis * Conclusion and ... Multi-factor models allow an asset to have not just one, but many measures of systematic risk. Each measure captures the ... Methods. This study uses a vector autoregressive (VAR) model with the impulse response function and the forecast variance ... The theory holds that the expected return of a financial asset can be modeled as a linear function of various macro-economic ...https://link.springer.com/article/10.1186/s40854-018-0092-2