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.
Product Identifiers
Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783642343322
eBay Product ID (ePID)
178300931
Product Key Features
Author
Stefan Lang, Ludwig Fahrmeir, Thomas Kneib, Brian Marx
Publication Name
Regression: Models, Methods and Applications
Format
Hardcover
Language
English
Subject
Medicine, Economics, Government, Mathematics, Healthcare System
Publication Year
2013
Type
Textbook
Number of Pages
698 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Additional Product Features
Title_Author
Thomas Kneib, Brian Marx, Ludwig Fahrmeir, Stefan Lang
Country/Region of Manufacture
Germany
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