Regression Models Methods Applications Fahrmeir Kneib Lang Marx Springer HC New
$ 52.78
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Regression Models Methods Applications Fahrmeir Kneib Lang Marx Springer HC New. Statistics · Regression Analysis · Springer Textbook. Springer · 2013 xiv + 698 pp. Springer (Berlin/Heidelberg) · 2013 · First Edition · hardcover · xiv + 698 pp · ISBN 978-3-642-34332-2. Hardcover · xiv + 698 pp. Regression: Models, Methods and Applications — Fahrmeir, Kneib, Lang & Marx (Springer, 2013) Statistics · Regression Analysis · Springer Textbook Brand New Hardcover · 1st Ed. Springer · 2013 xiv + 698 pp Fahrmeir · Kneib · Lang · Marx Regression Models, Methods and Applications A rigorous yet applied, unified introduction to parametric, nonparametric, and semiparametric regression — closing the gap between theory and practice with real data, case studies, and software-driven examples. Springer (Berlin/Heidelberg) · 2013 · First Edition · hardcover · xiv + 698 pp · ISBN 978-3-642-34332-2 About the Book Written by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, and Brian Marx, this is an applied and unified introduction to regression that closes the gap between theory and application. The most important models and methods — parametric, non-, and semiparametric — are presented on a solid formal basis, and their appropriate use is demonstrated through many real data examples and case studies. The availability of user-friendly software was a major criterion in selecting the methods presented. The book targets a broad audience: students, teachers, and practitioners in the social, economic, and life sciences, as well as students and teachers in statistics programs and mathematicians and computer scientists with an interest in data analysis. The most important definitions and results are summarized concisely in boxes, and two appendices supply the required matrix algebra and elements of probability and statistical inference — making it usable both as a course text and a working reference. Authors & Edition Lead author Ludwig Fahrmeir is Professor emeritus of Statistics at Ludwig-Maximilians-University Munich; co-authors Thomas Kneib (Göttingen), Stefan Lang (Innsbruck), and Brian Marx (LSU) are all well-known statisticians. This listing is the 2013 first edition (ISBN 978-3-642-34332-2); Springer later issued a revised second edition (2021) under a different ISBN, so please note this is specifically the first edition. Unified Coverage Parametric, non-, and semiparametric regression together. Theory + Application Formal basis paired with real data and case studies. Software-Oriented Methods chosen with usable software in mind. Course & Reference Boxed summaries plus matrix & probability appendices. TitleRegression: Models, Methods and Applications AuthorsFahrmeir · Kneib · Lang · Marx PublisherSpringer EditionFirst Edition · 2013 FormatHardcover · xiv + 698 pp SubjectsRegression; statistics; econometrics ISBN978-3-642-34332-2 ConditionBrand New Edition note: this is the 2013 first edition . A revised second edition (2021) exists under a separate ISBN — if you specifically need the newest edition, this is the earlier printing. Condition Report BRAND NEW Brand new, unread hardcover — clean, crisp, unmarked pages. Boards square; binding tight; spine uncreased. No writing, no highlighting, no creasing. Please see photos for the exact copy offered. Ideal For Statistics Students Data Scientists Econometrics & Biostatistics Researchers & Practitioners Graduate Reference Enlightening Minds Same or Next Business Day Shipping · All Flaws Disclosed · Questions Welcome
