A Guide to Statistical Methods and to the Pertinent by Lothar Sachs

By Lothar Sachs

Readers of my books, scholars and scientists, usually ask for spe­ cial references no longer ordinarily present in introductory or interme­ diate books on records. From the titles and contents of 1449 key papers and books that are indexed and numbered in Sec­ tion five, i've got chosen key words and topic headings and ar­ ranged them alphabetically including the numbers of perti­ nent references in part three. quantity 1153, for example, denotes my e-book" utilized Statis­ tics". It encompasses a bibliographical part on pages 568 to 641. Supplementary fabric is displayed during this small bibliographi­ cal consultant. It additionally enhances famous textbooks of field, Hunter and Hunter (No.121), Dixon and Massey (No.286), Snedecor and Cochran (No. 1238), and plenty of fresh opponents. because the technique of data is increasing swiftly, many equipment aren't thought of in any respect or in simple terms brought within the easy textbooks of facts. there's a want for intermediate statistical tools focused on more and more complex ap­ plications of information to genuine learn occasions. the following the specification of phrases is helping to discover a few resources. because the ref­ erences range significantly in size and content material, the variety of culled or extracted phrases in line with referenced web page varies much more, as does additionally their measure of specialization; even if quite often an intermediate statistical point is maintained.

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739 equal, one-sided tests for ... g. 1284 influence-enhanced scatter plots 1296 intraclass: see intraclass correlation matrices: and covariance matrices, e. g. 22, 634, 1207 robust, e. g. g. g. 93, 658, 681,1238 or regression: bias or precision 1369 phi 739 polychoric, e. g. 427 Correlations across studies, cumulating, e. g. 588 Correlation: selecting the normal population with the largest intraclass correlation and with the largest multiple correlation coefficient 406 squared semipartial1284 tetrachoric 210, 276, 284,427,739, 798 versus causality, e.

G. g. g. g. 56, 1085 calculus and matrix algebra: elementary hints 798 Differential- und Integralrechnung sowie gewohnliche Differentialgleichungen, z. B. g. g. g. g. 122 distributions 298, 504, 542, 631, 632, 701, 1028 developments in 632 mixtures of 343 relationships between 542 maximum principle applied to optimal systems reliability 1308 random variables, e. g. 454, 643 replacement models 999 -state stochastic models in communication processes 900 variates, e. g. g. g. 537 and classification 537, 634, 658, 1078 application of matrices in, e.

193, 874 population, selecting the best 406 Gehan's extension of the Wilcoxon test 144, 770, 834, 893 probability plot, e. g. g. 1001 735, 761, 816, 847, 864, 1028 Generalized: siehe auch gamma distribution and weighted least squares 300, Gart's exact test for comparing 658, 1383 matched proportions in crossand conditional inverse, e. g. 443 over designs, e. g. g. g. g. g. 372, 454, 874 863,864,922,936,1122 quadrature, e. g. g. g. g. g. g. 661 reduced gradient methods applied Gauss-Poisson process, e.

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