ABSTRACT

Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well

chapter 1|70 pages

The Calculus of Probability

chapter 2|52 pages

Discrete Probability Models

chapter 3|44 pages

Continuous Probability Models

chapter 4|64 pages

Multivariate Models

chapter 5|24 pages

Limit Theorems and Related Topics

chapter 7|44 pages

Statistical Estimation: Asymptotic Theory

chapter 8|26 pages

Interval Estimation

chapter 9|44 pages

The Bayesian Approach to Estimation

chapter 10|56 pages

Hypothesis Testing

chapter 11|38 pages

Estimation and Testing for Linear Models

chapter 12|40 pages

Nonparametric Statistical Methods