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Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.
Probability; Discrete Distributions; Continuous Distributions; Bivariate Distributions; Distributions of Functions of Random Variables; Estimation; Tests of Statistical Hypotheses; Nonparametric Methods; Bayesian Methods; Some Theory; Quality Improvement Through Statistical Methods
For all readers interested in mathematical statistics.
From the Publisher: An accessible introduction to the mathematics of probability and statistics for students with a background in calculus. Numerous applications help explain and motivate the concepts.
Title: Probability and statistical inference
Publisher: Collier Macmillan
Publication Date: 1983
Binding: Hardcover
Condition: Good
Edition: 2nd Edition