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Description for Regression
Hardcover. This book offers an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. It presents the most important models and methods on a solid formal basis and includes case studies. Num Pages: 712 pages, biography. BIC Classification: KCH; MBNS; PBT; PSA; PSD. Category: (P) Professional & Vocational. Dimension: 241 x 165 x 43. Weight in Grams: 1190.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Condition
New
Number of Pages
698
Place of Publication
Berlin, Germany
ISBN
9783642343322
SKU
V9783642343322
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Ludwig Fahrmeir
Ludwig Fahrmeir is Professor emeritus at the Department of Statistics at Ludwig-Maximilians-University Munich. From 1995 to 2006 he was speaker of the Collaborative Research Center 'Statistical Analysis of Discrete Data', supported financially by the German National Science Foundation. His main research interests are semiparametric regression, longitudinal data analysis and spatial statistics, with applications ranging from social science and risk management ... Read more
Reviews for Regression
From the book reviews: “This is a very useful book for researchers, in particular those often faced with data not suited to the classical linear model, and for teachers who wish to motivate good students with an introduction to the wonderful and diverse world of modern statistical modeling. The use of interesting examples and well-thought-out remarks, together with important ... Read more