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Analysis of Variance, Design, and Regression (eBook)

Linear Modeling for Unbalanced Data, Second Edition
Artikelnummer: 978-1-315-36230-4
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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Introduction. One Sample. General Statistical Inference. Two Samples. Contingency Tables. Simple Linear Regression. Model Checking. Lack of Fit and Nonparametric Regression. Multiple Regression: Introduction. Diagnostics and Variable Selection. Multiple Regression: Matrix Formulation. One-Way ANOVA. Multiple Comparison Methods. Two-Way ANOVA. ACOVA and Interactions. Multifactor Structures. Basic Experimental Designs. Factorial Treatments. Dependent Data. Logistic Regression: Predicting Counts. Log-Linear Models: Describing Count Data. Exponential and Gamma Regression: Time-to-Event Data. Nonlinear Regression. Appendices.

Introduction. One Sample. General Statistical Inference. Two Samples. Contingency Tables. Simple Linear Regression. Model Checking. Lack of Fit and Nonparametric Regression. Multiple Regression: Introduction. Diagnostics and Variable Selection. Multiple Regression: Matrix Formulation. One-Way ANOVA. Multiple Comparison Methods. Two-Way ANOVA. ACOVA and Interactions. Multifactor Structures. Basic Experimental Designs. Factorial Treatments. Dependent Data. Logistic Regression: Predicting Counts. Log-Linear Models: Describing Count Data. Exponential and Gamma Regression: Time-to-Event Data. Nonlinear Regression. Appendices.

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VerlagTaylor & Francis Ebooks
EinbandPDF
Erscheinungsjahr2018
Seitenangabe636 S.
AusgabekennzeichenEnglisch
Abbildungen135 schwarz-weiße Abbildungen, 404 schwarz-weiße Tabellen
Masse7'944 KB
Auflage18002 A. 2. Auflage
PlattformPDF
AutorChristensen, Ronald

Über den Autor Ronald Christensen

Ronald Christensen is a Distinguished Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of statistical models having linear structure. In addition to numerous technical articles, he is the author of Plane Answers to Complex Questions: The Theory of Linear Models; Advanced Linear Modeling: Statistical Learning and Dependent Data; Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data and coauthor of Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians. Dr. Christensen is a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. His is a past editor of The American Statistician and a past chair of the ASA's Section on Bayesian Statistical Science.

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