Logo

Probability and Mathematical Statistics

Small book cover: Probability and Mathematical Statistics

Probability and Mathematical Statistics
by

Publisher: University of Louisville
Number of pages: 703

Description:
This book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate level course in probability theory and mathematical statistics.

Download or read it online for free here:
Download link
(3.9MB, PDF)

Similar books

Book cover: Markov Chains and Stochastic StabilityMarkov Chains and Stochastic Stability
by - Springer
The book on the theory of general state space Markov chains, and its application to time series analysis, operations research and systems and control theory. An advanced graduate text and a monograph treating the stability of Markov chains.
(20173 views)
Book cover: Introduction to Probability and Statistics Using RIntroduction to Probability and Statistics Using R
by
A textbook for an undergraduate course in probability and statistics. The prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
(8804 views)
Book cover: CK-12 Basic Probability and Statistics: A Short CourseCK-12 Basic Probability and Statistics: A Short Course
by - CK-12.org
CK-12 Foundation's Basic Probability and Statistics– A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
(19489 views)
Book cover: Bayesian Spectrum Analysis and Parameter EstimationBayesian Spectrum Analysis and Parameter Estimation
by - Springer
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
(16328 views)