Skip to content

John E. Freund's Mathematical Statistics with Applications

Spend $50 to get a free DVD!

ISBN-10: 0131427067

ISBN-13: 9780131427068

Edition: 7th 2004

Authors: John E. Freund, Irwin Miller, Marylees Miller

List price: $148.00
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

This classic, calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking and current practices.New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations. Topics covered include probability distributions and densities, random variables, sampling distributions, hypothesis testing, regression and correlation, variance, and more.An excellent reference work for professional statisticians in a variety of fields.
Customers also bought

Book details

List price: $148.00
Edition: 7th
Copyright year: 2004
Publisher: Prentice Hall PTR
Publication date: 10/14/2003
Binding: Hardcover
Pages: 624
Size: 7.00" wide x 9.25" long x 1.00" tall
Weight: 2.244

Irwin Miller is professor of health administration at Governors State University. He was director of one of America's first HMO projects, and did the policy planning for Blue Cross's nationwide HMO marketing network. He is also the author of The Health Care Survival Curve, which is also about HMOs.

Introduction
Probability
Probability Distributions and Probability Densities
Mathematical Expectation
Special Probability Distributions
Special Probability Densities
Functions of Random Variables
Sampling Distributions
Decision Theory
Point Estimation
Interval Estimation
Hypothesis Testing
Tests of Hypotheses Involving Means, Variances, and Proportions
Regression and Correlation
Design and Analysis of Experiments
Nonparametric Tests