ISBN: 9780199676750 - analy of longitudinal data 2e osss:ncs paper (oxford statistical science series, band 25) (9 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: New.

Zustand: New. 2013. 2nd Edition. Paperback. This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors. Series: Oxford Statistical Science Series. Num Pages: 400 pages, black & white illustrations, black & white tables, figures, graphs. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 182 x 235 x 19. Weight in Grams: 572. . . . . .…

Paperback. Zustand: New. The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.…

Zustand: As New. Unread book in perfect condition.

Zustand: New. 2013. 2nd Edition. Paperback. This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors. Series: Oxford Statistical Science Series. Num Pages: 400 pages, black & white illustrations, black & white tables, figures, graphs. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 182 x 235 x 19. Weight in Grams: 572. . . . . . Books ship from the US and Ireland.…

Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Paperback. Zustand: Brand New. 2nd edition. 400 pages. 9.25x6.25x1.00 inches. In Stock.

Paperback. Zustand: New. The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.…