9780412317606 - Generalized Linear Models (Monographs on Statistics & Applied Probability, Band 37) von McCullagh, P.; Nelder, John A. (6 Ergebnisse)

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. No dust jacket. Backstrip loose. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780412317606.

1989, 2nd ed., original boards, xx, 512pp, Monographs on Statistics and Applied Probability 37, as new.

Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: No Dust Jacket. Second Edition. Second edition, CRC Press reprint, hardcover with printed boards, no dust jacket, in very good condition. Boards are slightly scuffed. Binding is sound and pages are clear. LW. Used.

Hardcover. Zustand: Very Good. Hardcover with printed boards, no dust jacket. 1990 reprint of 1989 second edition. Former copy of the late statistician John Bithell, with his signature penned to FEP. Slight lean to spine and bumps to board corners and edges. Page block faintly marked. No other notable flaws. AD. Used.

Paperback. Zustand: Very Good. The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Zustand: Brand New. 2nd sub edition. 532 pages. 9.25x6.00x1.25 inches. In Stock.