CRC Standard Probability and Statistics Tables and Formulae, Student Edition
Autor Stephen Kokoska, Daniel Zwillingeren Limba Engleză Paperback – 29 mar 2000
For each type of distribution the authors supply:
?definitions
?tables
?relationships with other distributions, including limiting forms
?statistical parameters, such as variance and generating functions
?a list of common problems involving the distribution
Standard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively.
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Specificații
ISBN-13: 9780849300264
ISBN-10: 0849300266
Pagini: 234
Ilustrații: 5 Halftones, black and white; 89 Tables, black and white; 50 Illustrations, black and white
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.43 kg
Ediția:Student edition
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0849300266
Pagini: 234
Ilustrații: 5 Halftones, black and white; 89 Tables, black and white; 50 Illustrations, black and white
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.43 kg
Ediția:Student edition
Editura: CRC Press
Colecția CRC Press
Public țintă
ProfessionalCuprins
Introduction. Probability Theory. Probability Distributions. Common Statistical Problems. Statistical Theory. Topics in Probability and Statistics. Miscellaneous Mathematical Tables. Appendix: Glossary of Symbols and Terms. Index.
Notă biografică
Daniel Zwillinger, Stephen Kokoska
Descriere
Users of statistics in their professional lives along with statistics students will welcome the CRC Standard Probability and Statistics Tables and Formulae, a concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulae typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control. With this handy reference, readers can shift their focus from rote learning and memorization to the concepts they need to use statistics efficiently and effectively.