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Confidence Intervals In Generalized Regression Models (statistics: A Series Of Textbooks And Monographs) by Esa I. Uusipaikka is a nonfiction available to read on EtoBox.

What is Confidence Intervals In Generalized Regression Models (statistics: A Series Of Textbooks And Monographs) about?

<p><i>A Cohesive Approach to Regression Models</i></p> <p><b>Confidence Intervals in Generalized Regression Models</b> introduces a unified representation—the generalized regression model (GRM)—of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model.</p> <p><i>Provides a Large Collection of Models</i></p> <p>The book encompasses a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood ratio tests.</p> <p><i>Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions</i></p> <p>Offering software that helps with statistical analyses, this book focuses on producing statistical inferences for data modeled by GRMs. It contains numerical and graphical results while provi

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It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Esa I. Uusipaikka
Publisher
Chapman and Hall/CRC
Published
2008
Language
EN
ISBN
9781420060270
Category
nonfiction
Subjects
Mathematics, Science, Stem

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