Probability and Mathematical Statistics

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Harper & Row, 1974 - Mathematical statistics - 346 pages
Random events and the basic concepts of probability; Axiomatic formulation of the theory of probability; Probabilitices in a finite sample space: Elements of combinatorial algebra; Random variables and probability distritions; Expected valores and moments; Distributions involving a discrete random variable; Special continuous distributions; Random variables; Covolutin; Multivariante nomal distrbution; Sistributions associated with the normal;Samopling from general populations; Point estimation; Maximun likelihood estimation;Hypothesis testing; Interval estimation; The linear regression model and the principle of least squares; Order statistics; Statistical imference in perspective; Appendix 1 the algebra of the subsets of a set; Appendix 2 Binomial and multino-mial theoremas; Appendix 3 Characteristic functions and related theorems; greens theorem and other results from advanced calculus; Appendix 5 Real symmetric;Positive definite; And idempatent matrices; Appendix 6 the lindeberg-levy central limit theorem.

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Axiomatic Formulation of the Theory of Probability

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