Statistics for Research (Probability & Mathematical Statistics S.) - Tapa dura

Statistics for Experimenters An Introduction to Design, Data Analysis, and Model Building George E. P. Box, William G. Hunter, and J. Stuart Hunter "The authors are to be congratulated for having written an excellent book. The writing is literate, and the technical aspects impeccable." - Journal of Quality Technology Demonstrates the design of highly efficient statistical and engineering programs using a special applied approach. Covers hypothesis tests, confidence intervals, comparison of means, t tests, and more. Includes many examples, illustrations, and exercises (with answers) throughout. Advanced topics of special interest are detailed in readily understood language. 1978 (0 471-09315-7) 653 pp. Computer-Intensive Methods for Testing Hypotheses An Introduction Eric W. Noreen Designed to provide a basic understanding of computer-intensive methods and their widespread applications, this book offers computer-intensive alternatives to virtually every conventional parametric and nonparametric test. Assuming no more than a working knowledge of BASIC, PASCAL or FORTRAN, this work explores how computer-intensive methods can be easily incorporated into your work. The short, simple, and extremely flexible programs discussed here may be used as templates with only minor modification. 1989 (0 471-61136-0) 229 pp. Categorical Data Analysis Alan Agresti Chronicling the historical development of methods for analyzing categorical data, this text enables practicing statisticians to catch up with recent advances and to perform analyses. There is a strong emphasis on statistical computer packages such as SAS, SPPS, BMDP, and GLIM. Modern methods for ordinal data, longitudinal data, and generalized linear models are explained, and more than 40 examples of analyses of real data sets are offered. Coverage includes: models for categorical (or continuous) responses as special cases of generalized linear models; methods for repeated measurement data; outlined derivations of basic asymptotic and fixed-sample-size inferences; discussion of exact small-sample procedures; and prescriptions for treating ordinal variables differently than nominal variables. 1990 (0 471-85301-1) 558 pp.

SHIRLEY DOWDY is Associate Dean of the College of Arts and Sciences and Associate Professor of Statistics at West Virginia University, where she has been since 1971. She is the author of Statistical Experiments Using BASIC, Mathematics: Art and Science (Wiley), and Geometry for Teachers with G. Y. Rainich (Wiley). Dr. Dowdy received her PhD in mathematics from the University of Notre Dame in 1964. STANLEY WEARDEN is Professor of Statistics at West Virginia University, where he has been since 1969. He was Fulbright Professor of Statistics at the University of the West Indies and previously served for four years as Chairman of the Department of Statistics and Computer Science at W.V.U. Among his many honors and offices are the Biometric Society, American Statistical Association, Phi Mu Epsilon and Gamma Sigma Delta. Dr. Wearden earned his PhD in population genetics from Cornell University in 1957.