/ by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian Marx
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Berlin, Heidelberg
نام ناشر، پخش کننده و غيره
: Springer Berlin Heidelberg :Imprint: Springer,
تاریخ نشرو بخش و غیره
, 2013.
مشخصات ظاهری
نام خاص و کميت اثر
XIV, 698 p. 204 illus., online resource.
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Print
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
متن يادداشت
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.?╗╣
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Statistics
موضوع مستند نشده
Epidemiology
موضوع مستند نشده
Bioinformatics
موضوع مستند نشده
Statistical methods
موضوع مستند نشده
Mathematical statistics
موضوع مستند نشده
Economics, Statistics
موضوع مستند نشده
Econometrics
موضوع مستند نشده
Electronic books
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )