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Testing Lack of Fit in a Mixture Model

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Testing Lack of Fit in a Mixture Model

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Nonparametric Smoothing and Lack-of-Fit Tests

methods for testing lack-of-fit and also proposes a number of new methods, addressing both applied and theoretical aspects of the model checking;

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Handbook of Mixture Analysis

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several statistical data analysis methods based;

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Testing Character Evolution Models in Phylogenetic Paleobiology

little intuition. In this Element, we set forth a framework for fitting complex, hierarchical models. The authors ultimately fit and use a joint;

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Optimal Mixture Experiments

The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general;

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Computerized Adaptive Testing

maintenance, item calibration and model fit, and testlet-based adaptive testing, as well as the operational aspects of existing large-scale CAT;

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Mixture Models and Applications

applications based on mixture models, or a survey of the literature. Reports advances on classic problems in mixture modeling such as parameter;

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Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a;

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Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a;

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Regression Models for Categorical Dependent Variables Using Stata

categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book. The book;

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Explanatory Model Analysis

models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data;

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Explanatory Model Analysis

models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data;

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Bayesian inference with INLA

The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time;

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Bayesian inference with INLA

The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time;

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Practical Model-Based Testing

Practical Model-Based Testing gives a practical introduction to model-based testing, showing how to write models for testing purposes;

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Chi-squared Goodness-of-fit Tests for Censored Data

This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data;

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Cooperative Classroom Testing

Cooperative Classroom Testing discusses the application of cooperative learning principles in a classroom-testing environment. Using the;

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Empirical Dynamic Asset Pricing

econometric testing of dynamic asset pricing models. The first several chapters provide an in-depth treatment of the econometric methods used;

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Structural Equation Modeling

Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the;

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Computational Modeling of Cognition and Behavior

as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the;

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Computational Modeling of Cognition and Behavior

as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the;

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Model-Based Testing of Reactive Systems

ensuring competent complementary coverage of all relevant aspects. An appendix provides a glossary for model-based testing and basics on finite;

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Plane Answers to Complex Questions

important in their own right: balanced incomplete block designs, testing for lack of fit, testing for independence, models with singular covariance;

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Bituminous Binders and Mixes

The aim of the studies presented in this report is the implementation of rational concepts and testing procedures for the design and;

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Elements of Adaptive Testing

The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing;

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Plane Answers to Complex Questions

, testing for lack of fit, testing for independence, models with singular covariance matrices, diagnostics, collinearity, and variable selection;

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