Electronic Resource

Regression : models, methods and applications

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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 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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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

E793

Penerbit

Jerman : Springer Berlin, Heidelberg., 2013

Deskripsi Fisik

xiv, 698 hlm.

Bahasa

English

ISBN/ISSN

9783642343339

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

Ed.1

Subjek

Statistik

Info Detail Spesifik

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Pernyataan Tanggungjawab

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian Marx

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Lampiran Berkas

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