<p><b>A valuable overview of the most important ideas and results in statistical modeling</b></p><p>Written by a highly-experienced author, <i>Foundations of Linear and Generalized Linear Models </i>is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding.</p><p>The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial logl
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<p><b>A valuable new edition of a standard reference</b></p><p>The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. <i>An...
kr 1527.00
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<P><STRONG>An Introduction to Generalized Linear Models, Fourth Edition </STRONG>provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been...
kr 849.00
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Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.
kr 1815.00
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<p>This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous...
kr 1299.00
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