ENGLISH

Regression: Models, Methods and Applications

By Ludwig Fahrmeir , Thomas Kneib , Stefan Lang , Brian Marx

Book information

Publisher
Springer
Year
2013
ISBN
978-3642343322
Language
english
Format
PDF
Filesize
16 MB (16834257 bytes)
Pages
702\702
Time added
2013-06-24 07:10:54

Description

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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