Regression

Regression: models, methods and applications

by Fahremeir, Ludwig

Type Book
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The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, the book primarily targets an audienc…

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Title Statements

  • Full title :Regression : models, methods and applications / Ludwig Fahrmeir ... [et al.].

Summary

The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, the book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements are concisely summarized in boxes. Two appendices describe required matrix algebra, as well as elements of probability calculus and statistical inference.

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Edition Statements

  • Publication Date:cop. 2013.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Berlin
  • Language:eng
  • Publication Date:cop. 2013.

Notes

MSC 62Jxx ; 62xx ; 62P20 ; 91Bxx ; 62P10 ; 92B15.

The Physical Object

  • Description:XIV, 698 p. : : il. ; : 25 cm

Edition Identifiers

  • ISBN:9783642343322, 3642343325, 9783642433764, 3642433766, 9783642343339, 3642343333
  • oclc:on1322925829

Table of Contents

Introduction -- Regression Models -- The Classical Linear Model -- Extensions of the Classical Linear Model -- Generalized Linear Models -- Categorical Regression Models -- Mixed Models -- Nonparametric Regression -- Structured Additive Regression -- Quantile Regression -- A Matrix Algebra -- B Probability Calculus and Statistical Inference -- Bibliography -- Index

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Subjects

ANALISIS DE REGRESION Biometria Econometría Estadística matemàtica

Writers

Fahremeir, Ludwig

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