ISBN: 9780470694503 - an introduction to optimal designs for social and biomedical research (statistics in practice) (9 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 346.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 346 pages. 9.20x6.20x0.90 inches. In Stock.

Zustand: New. Introduces optimal experimental design, in an accessible style that means very minimal mathematical background knowledge is needed. Provides guidelines for practitioners to increase the efficiency of their designs, demonstrating how optimal designs can reduce a study's costs and sample sizes. Series: Statistics in Practice. Num Pages: 346 pages, Illustrations. BIC Classification: JHBC; PB. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 24. Weight in Grams: 642. . 2009. Hardback. . . . . Books ship from the US and Ireland.…

Gebunden. Zustand: New. The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests.The objectives of a good design are to provide interpretable a.

Buch. Zustand: Neu. Neuware - The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book: - Introduces optimal experimental design in an accessible format. - Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce a study's costs. - Discusses the merits of optimal designs and compares them with commonly used designs. - Takes the reader from simple linear regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner. - Illustrates design techniques with practical examples from social and biomedical research to enhance the reader's understanding. Researchers and students studying social, behavioural and biomedical sciences will find this book useful for understanding design issues and in putting optimal design ideas to practice.…