Book Description
For students, statisticians, and other research workers.
Author : James Vandiver Bradley
Publisher : Prentice Hall
Page : 410 pages
File Size : 50,64 MB
Release : 1968
Category : Mathematics
ISBN :
For students, statisticians, and other research workers.
Author : James Vandiver Bradley
Publisher :
Page : 392 pages
File Size : 37,69 MB
Release : 1960
Category : Nonparametric statistics
ISBN :
Author : J. S. Maritz
Publisher : Springer
Page : 282 pages
File Size : 12,97 MB
Release : 1981
Category : Mathematics
ISBN :
Basic concepts in distribution-free methods; One-sample location problems; Miscellaneous one-sample problems; Two-sample problems; Straight-line regression; Multiple regression and general linear models; Bivariate problems; Appendix; Bibliography.
Author : James V. Bradley
Publisher :
Page : 388 pages
File Size : 26,27 MB
Release : 1972
Category :
ISBN :
Author : Leonard A. Marascuilo
Publisher :
Page : 584 pages
File Size : 23,51 MB
Release : 1977
Category : Social Science
ISBN :
Author : Andrew A. Jawlik
Publisher : John Wiley & Sons
Page : 440 pages
File Size : 10,43 MB
Release : 2016-09-21
Category : Mathematics
ISBN : 1119272009
Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: • Easy to Understand: Uses unique “graphics that teach” such as concept flow diagrams, compare-and-contrast tables, and even cartoons to enhance “rememberability.” • Easy to Use: Alphabetically arranged, like a mini-encyclopedia, for easy lookup on the job, while studying, or during an open-book exam. • Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 5–7 pages long, ensuring that things are presented in “bite-sized chunks.” The first page of each article typically lists five “Keys to Understanding” which tell the reader everything they need to know on one page. This book also contains an article on “Which Statistical Tool to Use to Solve Some Common Problems”, additional “Which to Use When” articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy - to - understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC - accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.
Author : J.S. Maritz
Publisher : CRC Press
Page : 268 pages
File Size : 42,27 MB
Release : 2020-11-25
Category : Mathematics
ISBN : 1000109968
Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research. This new edition is aimed at senior undergraduate and graduate level. It also includes a discussion of new techniques that have arisen as a result of improvements in statistical computing. Interest in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical Methods includes more examples with actual data sets appearing in the text.
Author : Joachim Krauth
Publisher : Elsevier Publishing Company
Page : 404 pages
File Size : 33,27 MB
Release : 1988
Category : Mathematics
ISBN :
This is a practical non-parametric handbook of statistical tests for use in general research, but particularly useful in the fields of Behavioural and Neural Sciences. Topics covered include: a full explanation of statistical terms, correct test choice and applications, small and large sample procedures, interpretation of test results, dependence testing and independent and dependent testing of two, three or more samples. Many of these tests are based on extensive modern statistical research, so are more relevant and accurate than the earlier book on the subject (Siegel 1956). Results obtained from traditional and modern methodologies have been investigated and included for comparison of significance and variance by the reader.
Author : P. R. Krishnaiah
Publisher : Elsevier Health Sciences
Page : 1016 pages
File Size : 14,51 MB
Release : 1984
Category : Mathematics
ISBN :
Classical developments. Linear models. Order statistics and empitical distribution. Estimation procedures. Stochastic aproximation and density estimation. Life testing and reliability. Miscellaneous topics. Applications. Tables.
Author : Gopal K Kanji
Publisher : SAGE
Page : 262 pages
File Size : 11,86 MB
Release : 2006-08-07
Category : Mathematics
ISBN : 9781412923767
Expanded and updated, the Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. The Third Edition now includes: - a new introduction to statistical testing with information to guide even the non-statistician through the book quickly and easily - real-world explanations of how and when to use each test with examples drawn from wide range of disciplines - a useful Classification of Tests table - all the relevant statistical tables for checking critical valu.