Statistics for Research (Probability & Mathematical Statistics) (Hardcover)

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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, longitudina