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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

This volume contains a selection of invited and contributed papers presented at the International Conference on Linear Statistical;

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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data;

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Advanced Linear Models

prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression;

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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Statistical Modeling and Computation

Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an;

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Introduction to the Theory of Statistical Inference

Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Introduction to the Theory of Statistical Inference

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;

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An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;

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Statistical Inference For Models With Multivariate T-Distrib

the development of linear statistical models with applications to engineering, the physical sciences, and mathematics * Contains an up-to-date;

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Confidence Intervals in Generalized Regression Models

inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses;

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Confidence Intervals in Generalized Regression Models

inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses;

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Models for Probability and Statistical Inference

topics, such as sampling, linear models, design of experiments, statistical computing, survival analysis, and bootstrapping. Ideal as a textbook;

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A First Course in Linear Model Theory

. With an innovative approach, the authors introduce to students the mathematical and statistical concepts and tools that form a foundation for;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Statistical Modelling by Exponential Families

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful;

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Statistical Modelling by Exponential Families

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful;

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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Mathematical Statistics

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are;

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Theory of Statistical Inference

equations (GEE). An introduction to decision theory (including risk, admissibility, classification, Bayes and minimax decision rules) is presented;

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Statistical Inference

Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a;

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Linear Models in Statistics

The essential introduction to the theory and application of linear models-now in a valuable new edition Since most advanced statistical;

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Multivariate, Multilinear and Mixed Linear Models

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic;

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Introduction to the Theory and Practice of Econometrics

This Second Edition of the highly acclaimed introduction to econometrics retains its comprehensive nature and strong authorship, while;

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Linear Statistical Inference And Its Applications

. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost;

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