Modern Mathematical Statistics (Wiley Series in Probability and Statistics)

By Satya N. Mishra and Edward J. Dudewicz

Book Overview

This modern treatment of mathematical statistics is concise, yet detailed enough to give readers a solid foundation in all aspects of the field. Treatment of each topic is thorough enough to make the coverage self-contained for a course in probability, and exceptional care has been taken to balance theory with applications. In addition to classical probability theory, such modern topics as order statistics and limiting distributions are discussed, along with applied examples from a wide variety of fields. Discussions include the core mathematical statistics topics of estimation, testing, and confidence intervals; ranking and selection procedures; decision theory; nonparametric statistics; regression and ANOVA; and robust statistical procedures. Computer-assisted data analysis is discussed at several points, reflecting the importance of statistical computation to the field. FORTRAN programs and BMDP routines are included, as well as the highly popular SAS routines. Also looks at the potential contribution of expert systems to statistics.

• Format: Hardcover
• Language: English
• ISBN: 0471814725
• ISBN13: 9780471814726
• Release Date: January 1988
• Publisher: Wiley
• Length: 864 Pages
• Weight: 2.75 lbs.
• Dimensions: 9.7" x 1.8" x 6.7"

Customer Reviews

good treatment of modern methods

Dudewicz and Mishra provide a good treatment of mathematical statistics as it was in 1988. It is unique in its coverage of computational methods and software and the emerging area of expert systems. I was pleased to see coverage of influence functions including some of my work. This book also provides a good mix of theory and application.