Statistics For Experimenters: An Introduction to Design, Data Analysis and Model Building (Probability & Mathematical Statistics S.) - Tapa dura

Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for "statistical thinking" by using examples drawn from actual case studies.

Applied Regression Analysis Second Edition Norman Draper and Harry Smith, Jr. The revised, expanded Second Edition of this popular book by two authorities with more than 50 years of combined experience in the field. Draper and Smith offer a comprehensive introduction to fundamentals, concepts and applications. This Second Edition treats basic multiple linear regression, the examination of residuals, the planning of large regression studies, the theory of nonlinear estimation, the "practical" significance of regression, and much more. With many new exercises, examples, and references, this book is unusually versatile—a useful reference for professionals in many fields. 1981 (0 471-02995-5) 709 pp. Nonlinear Regression G. A. F. Seber and C. J. Wild Nonlinear Regression carefully blends the theory and practice of nonlinear regression and includes numerous computational examples and graphs throughout. Treats the broad aspects of model building and statistical inference, and serves as a thorough introduction to the topic for graduate students and as an accessible reference source for professionals. Most chapters are self-contained, and new and important material relating to the concept of curvature and its growing role in statistical inference is included. Ideal for those training to be statisticians, biometricians, and econometricians, as well as providing research scientists with up-to-date, readable access to their fields. 1989 (0 471-61760-1) 768 pp. Statistical Design for Research Leslie Kish The issues of data collection and selection, vital to statistics, yet often neglected, are described in-depth in Statistical Design For Research, as well as the ramifying effects of statistical design in the social and health sciences, education, and market research. Emphasizing research design development, this important work includes a discussion of key methods—experimental designs, survey sampling, and controlled investigations—plus ample tables, figures and problem sets. 1987 (0 471-08359-3) 296 pp.