New Cambridge Statistical Tables

by D.V. Lindley, W.F. Scott

The latest edition of this very successful and authoritative set of tables, first published in 1984, still benefits from clear typesetting, which makes the figures easy to read and use, but has been improved by the addition of new tables. These give Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. The authors have taken great care to ensure the clarity of the tables and how their values may be used; the tables are easily interpolated. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences, and will be an essential aid for teachers, users and students in these areas.

Paperback

First published August 3, 1995

Reviews

[Diego · Rating 5 out of 5]

Herramienta Útil para realizar pruebas estadísticas cuando no se cuenta con un software especializado ( stata, mathematica, matlab, eviews etc )
Contiene las siguientes tablas:

The Binomial Distribution Function
The Poisson Distribution Function
Binomial Coefficients
The Normal Distribution Function
Percentage Points of the Normal Distribution
Logarithms of Factorials
The )(2-Distribution Function
Percentage Points of the )(2-Distribution
The t-Distribution Function
Percentage Points of the t-Distribution
Percentage Points of Behrens' Distribution
Percentage Points of the F-Distribution
Percentage Points of the Correlation Coefficient r when p = 0
Percentage Points of Spearman's S
Percentage Points of Kendall's K
The z-Transformation of the Correlation Coefficient
The Inverse of the z-Transformation
Percentage Points of the Distribution of the Number of Runs
Upper Percentage Points of the Two-Sample Kolmogorov—Smirnov
Distribution
Percentage Points of Wilcoxon's Signed-Rank Distribution
Percentage Points of the Mann—Whitney Distribution
Expected Values of Normal Order Statistics (Normal Scores)
Sums of Squares of Normal Scores
Upper Percentage Points of the One-Sample Kolmogorov—Smirnov
Distribution
Upper Percentage Points of Friedman's Distribution
Upper Percentage Points of the Kruskal—Wallis Distribution
Hypergeometric Probabilities
Random Sampling Numbers
Random Normal Deviates
Bayesian Confidence Limits for a Binomial Parameter
Bayesian Confidence Limits for a Poisson Mean
Bayesian Confidence