Statistical Tables for Multivariate Analysis. A Handbook with References to Applications. Springer Series in Statistics

Kres, Heinz, Wadsack, Peter

ISBN 10: 0387909095 / ISBN 13: 9780387909097

Editore: Springer, 1983

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504 pp., Hardcover, some faint wear to cover edges else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Codice articolo ZB1297274

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Titolo: Statistical Tables for Multivariate Analysis...

Casa editrice: Springer

Data di pubblicazione: 1983

Legatura: Rilegato

Condizione: Fine

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Contenuti:

I: The Primary Tables for Testing Multivariate Statistical Hypotheses.- Preliminary Remarks.- 0: A Brief Summary of the Test Criteria for the Multivariate General Linear Hypothesis.- Table 1: The Likelihood Ratio Criterion ? of S. S. Wilks: Tables of F. J. Wall.- Table 2: The ?max — Criterion of K. C. S. Pillai: A Version of the Maximum Root Criterion of S. N. Roy.- Table 3: The Generalized F-Criterion of R. D. Bock: A Version of the Maximal Root Criterion of S. N. Roy.- Table 4: The Nomograms of D. L. Heck for the Distribution of the ?max — Criterion of S. N. Roy.- Table 5: The ?max — Criterion of F. G. Foster and D. H. Rees: A Version of the Maximum Root Criterion of S. N. Roy.- Table 6: The Trace Criterion To2 of H. Hotelling and D. N. Lawley in the Version of K. C. S. Pillai.- Table 7: The Trace Criterion of H. Hotelling and D. N. Lawley in the Version V(s) of K. C. S. Pillai.- Table 8: The T2-Criterion of H. Hotelling: Tables of D. R. Jensen and R. B. Howe.- II: Tables Related to the Multivariate Normal Distribution.- Preliminary Remarks.- Table 9: The Multivariate Normal Distribution with Equal Correlations: Tables of S. S. Gupta.- Table 10: The Distribution of the Maximum of N Equally Correlated Normal Standardised Random Variables: Tables of S. S. Gupta, K. Nagel, and S. Panchapakesan.- Table 11: The Sphericity Test of J. W. Mauchly: Tables of B. N. Nagarsenker and K. C. S. Pillai.- Table 12: The Test Criteria Lmvc, Lvc and Lm of S. S. Wilks: Tables of S. S. Wilks and also of J. Roy and V. K. Murthy.- Table 13: The Multivariate Outlier Criteria of S. S. Wilks.- Table 14: Multivariate Tolerance Regions with ?-Expectation (Type 2): Tables of D. A. S. Fraser and I. Guttman.- Table 15: Multivariate Tolerance Regions with ?-Content (Type 1): Tables of V. Chew.- Table 16: Testing a Single Covariance Matrix: Tables of B. P. Korin.- Table 17: Testing the Equality of k Covariance Matrices: Tables of B. P. Korin.- Table 18: Distribution of the Extreme Roots of a WISHART Matrix: Tables of R. Ch. Hanumara and W. A. Thompson.- Table 19: The Multivariate t-Distribution: Tables of P. R. Krishnaiah and J. V. Armitage.- III: Further Tables for Multivariate Problems.- Preliminary Remarks.- Table 20: The Gamma Distribution: Tables of M. B. Wilk, R. Gnanadesikan, and M. J. Huyette.- Table 21: The BARGMANN Test for Simple Structure of a Factor Pattern: Tables of R. Bargmann.- Table 22: Upper Percentage Points of the BONFERRONI Chi-Square Statistic: Tables of G. B. Beus and D. R. Jensen.- Table 23: Lower Percentage Points of the BONFERRONI Chi-Square Statistic: Tables of G. B. Beus and D. R. Jensen.- Table 24: The Sequential Chi-Square Criterion for Multivariate Comparisons of Means: Tables of R. J. Freund and J. E. Jackson.- Table 25: The Sequential T2 -Criterion for Multivariate Testing for Means: Tables of R. J. Freund and J. E. Jackson.- IV (Appendix): Supplement.- Preliminary Remarks.- Table 26: The MARDIA-Test for Multivariate Normality, Skewness, and Kurtosis: Tables by K. V. Mardia.- Table 27: Sample Size Requirements for the T2-Test of MANOVA in One-Way Classifications: Tables of J. Läuter.- Table 28: Critical Values for Simultaneous and Sequential BONFERRONI z-Tests: Tables of G. A. Lienert, O. Ludwig, and K. Rockenfeller.- Table 29: Upper Percentage Points of the BONFERRONI t-Statistic: Tables of B. J. R. Bailey.- Table 30: Upper Percentage Points of Statistics for Testing Covariance Matrices: Tables of J. C. Lee, T. C. Chang, and P. R. Krishnaiah.- Final Remarks: Univariate Test Distributions as a Special Case of Their Multivariate Analogs.