Lectures in Mathematical Statistics

Contents:

Sets and Boolean Algebra; The Binomial Distribution; The Multinomial Distribution; The Poisson Distribution; The Binomial Moment Generating Function; The Normal Moment Generating Function; Characteristic Functions and the Uncertainty Principle; The Bivariate Normal Distribution; The Multivariate Normal Distribution; Conditional Expectations and Linear Regression; Sampling Distributions; Maximum Likelihood Estimation; Regression estimation via Maximum Likelihood; Cochrane's Theorem; Stochastic Convergence.

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