CRC Standard Probability and Statistics Tables and Formulae, Student Edition
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A01=Daniel Zwillinger
A01=Stephen Kokoska
advanced probability tables reference
analysis of variance
Author_Daniel Zwillinger
Author_Stephen Kokoska
Bernoulli Distribution
Category=PBT
Cauchy Random Variable
Chi Square Distribution
Columbia County
Continuous Random Variable
Cumulative Distribution Function
Data Sets
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Erlang Random Variable
Finite Population Correction Factor
Generalized Hypergeometric Function
Independent Normal Random Variables
Independent Standard Normal Random Variables
Joint Density Function
Joint Probability Mass Function
Mom Estimator
nonparametric methods
Normal Random Variable
Numerical Summary Measures
Operating Characteristic Curves
Probability Density Function
probability theory concepts
quality control statistics
Random Variables
Rayleigh Random Variable
regression analysis
Rejection Region
Standard Normal Random Variable
statistical inference
Tolerance Intervals
Ungrouped Data
Product details
- ISBN 9780849300264
- Weight: 430g
- Dimensions: 156 x 234mm
- Publication Date: 29 Mar 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control.
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.
Daniel Zwillinger, Stephen Kokoska
