Top 10 Best "Probability Statistics" Books

Introduction to Probability

Dimitri P. Bertsekas

Books

Schaum's Outline of Probability, Random Variables, and Random Processes

Hwei Hsu

Probability Statistics

Schaum's Outline of Probability, Random Variables, and Random Processes

Designed for students in various disciplines of engineering, science, mathematics, management and business, this effective study tool includes hundreds of problems with step-by-step solutions and another 150 problems with hints or delayed answers. The solved problems illustrate and strongly reinforce vital theory and techniques. Topics taught include functions of random variables; expectation and limit theorems; and estimation theory, decision theory and queuing theory.

For product reviews and more information: Schaum's Outline of Probability, Random Variables, and Random Processes

A Modern Introduction to Probability and Statistics

F.M. Dekking
C. Kraaikamp
H.P. Lopuhaä
L.E. Meester

Books

Probability and Statistics for Engineering and the Sciences, Enhanced Review Edition

Jay L. Devore

Books

Introductory Statistics with R (Statistics and Computing)

Peter Dalgaard

Books

Introduction to Probability and Statistics for Engineers and Scientists, Fourth Edition

Sheldon M. Ross

Books

Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition

Kishor Shridharbhai Trivedi

Books

Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition

Kishor Shridharbhai Trivedi

Books

Applied Statistics and Probability for Engineers, Student Solutions Manual

Douglas C. Montgomery
George C. Runger

Books

Fifty Challenging Problems in Probability with Solutions

Frederick Mosteller

Books

Basic Concepts of Probability and Statistics (Classics in Applied Mathematics)

Basic Concepts of Probability and Statistics provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background. It is the only book at this level to introduce readers to modern concepts of hypothesis testing and estimation, covering basic concepts of finite, discrete models of probability and elementary statistical methods. Although published in 1970, it maintains a modern outlook, especially in its emphasis on models and model building and also by its coverage of topics such as simple random and stratified survey sampling, experimental design, and nonparametric tests and its discussion of power.

The book covers a wide range of applications in manufacturing, biology, and social science, including demographics, political science, and sociology. Each section offers extensive problem sets, with selected answers provided at the back of the book. Among the topics covered that readers may not expect in an elementary text are optimal design and a statement and proof of the fundamental (NeymanPearson) lemma for...

For product reviews and more information: Basic Concepts of Probability and Statistics (Classics in Applied Mathematics)

Basic Concepts of Probability and Statistics (Classics in Applied Mathematics)

J. L. Hodges
E. L. Lehmann

Probability Statistics

Schaum's Outline of Probability and Statistics, 3/E (Schaum's Outline Series)

Murray Spiegel
John Schiller
R. Alu Srinivasan

Books

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