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Richly Parameterized Linear Models

A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to;

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Richly Parameterized Linear Models

A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to;

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Parameterized and Exact Computation

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Symposium on Parameterized and Exact;

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Parameterized and Exact Computation

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Symposium on Parameterized and Exact;

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Linear Model Methodology

Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles;

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Frontiers in Algorithmics

with algorithm, complexity, problem, reduction, NP-complete, graph, approximation, linear programming, local search, integer programming;

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Linear Model Theory

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data;

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A First Course in Linear Model Theory

Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an;

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SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set

This set contains: 9780471221746 SAS for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup, Rudolf Freund and 9780471754985;

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Regression Analysis and Linear Models

independent variables. It is used in forecasting and prediction. The models used to understand and build relationships, using the linear predictor;

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Decidability of Parameterized Verification

While the classic model checking problem is to decide whether a finite system satisfies a specification, the goal of parameterized model;

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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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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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Linear Models

An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the;

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Foundations of Linear and Generalized Linear Models

of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book;

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Nonlinear Models in Mathematical Finance

This book provides an overview on the current state-of-the-art research on non-linear option pricing. Non-linear models are becoming more;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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Bayesian Analysis of Linear Models

source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint;

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Bayesian Analysis of Linear Models

source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Methods And Applications Of Linear Models

thoroughly updated book, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition features innovative;

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Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a;

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Stochastic Models for Time Series

This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools;

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A Primer on Linear Models

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology;

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A Primer on Linear Models

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology;

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Linear Models

Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook;

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