A guide to probability theory and application (International series in decision processes)

Synopsis

Pt. I. Fundamental Concepts. Introduction -- The Elements Of Probability Theory -- Further Concepts Of Probability Theory -- Random Variables -- Descriptive Properties Of Distributions -- Pt. Ii. Probability Models. Special Distributions: Discrete Case -- The Normal Distribution -- Special Distributions: Continuous Case -- Multivariate Distributions -- Weighted Sum Of Random Variables -- Markov Chains -- *markov Chains Ii: First Passage Times, Recurrent States, And Long-run Probabilities. [by] Cyrus Derman, Leon J. Gleser [and] Ingram Olkin. Bibliography: P. 663-670.