Statistical Tables, Explained and Applied

Statistical Tables, Explained and Applied
Author :
Publisher : World Scientific
Total Pages : 244
Release :
ISBN-10 : 9789814488785
ISBN-13 : 981448878X
Rating : 4/5 (85 Downloads)

Book Synopsis Statistical Tables, Explained and Applied by : Louis Laurencelle

Download or read book Statistical Tables, Explained and Applied written by Louis Laurencelle and published by World Scientific. This book was released on 2002-02-20 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains several new or unpublished tables, such as one on the significance of the correlation coefficient r, one giving the percentiles of the Ē2 statistic for monotonic variation (with two structural models of variation), an extensive table for the number-of-runs test, three tables for the binomial sum of probabilities, and a table of coefficients for the re-conversion of orthogonal polynomials. In the case of the more familiar tables, such as those of the normal integral, or Student's t, Chi-square and F percentiles, all values have been re-computed, occasionally with the authors' own algorithms, using the most accurate methods available today. For each of the fifteen distributions in the book, the authors have gathered the essential information so that interested readers can handle by themselves all phases of the computations. An appendix, containing supplementary examples that pertain to the various tables, helps to complete the authors' review of current hypothesis-testing procedures. A mini-dictionary of often-used concepts and methods, statistical as well as mathematical, completes the book. Besides meeting the needs of practitioners of inferential statistics, this book should be helpful to statistics teachers as well as graduate students, researchers and professionals in scientific computing, who will all find it a rich source of essential data and references on the more important statistical distributions. Contents:Normal DistributionChi-Square (χ2) DistributionStudent's t DistributionF DistributionStudentized Range (q) DistributionDunnett's t DistributionĒ2 (Monotonic Variation) DistributionFmax DistributionCochran's C DistributionOrthogonal PolynomialsBinomial DistributionNumber-of-Runs DistributionRandom NumbersSupplementary ExamplesMathematical Complements Readership: Undergraduates, graduate students and researchers in applied statistics. Keywords:Statistical Tables;Monotonic Variation;Normal Distribution;Orthogonal Polynomials;Binomial Distribution;Random NumbersReviews:“This book could be useful as a supplement to a research methods course in such disciplines as psychology or biology where ANOVA is the primary method of statistical inference, and is recommended for this use.”Journal of the American Statistical Association


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