Mathematical statistics with applications
By: Wackerly, Dennis D
Title By: Mendenhall, William | Scheaffer, Richard L
Material type: BookPublisher: Belmont, CA : Thomson Brooks/Cole, c2008.Edition: 7th ed.Description: xxii, 912 p. : ill. ; 25 cm.ISBN: 9780495110811Subject(s): Mathematical statisticsDDC classification: 519.5 WA MA Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 519.5 WA MA (Browse shelf) | Available | T0058922 |
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519.5 TR BU Business statistics : | 519.5 UT MI Mind on statistics / | 519.5 UT MI Mind on statistics / | 519.5 WA MA Mathematical statistics with applications | 519.5 WA PR Probability & statistics for engineers & scientists | 519.5 WA PR Probability & statistics for engineers & scientists | 519.5 WE IN Introductory statistics / |
Includes index.
1. What is statistics? --
2. Probability --
3. Discrete random variables and their probability distributions --
4. Continuous variables and their probability distributions --
5. Multivariate probability distributions --
6. Functions of random variables --
7. Sampling distributions and the central limit theorem --
8. Estimation --
9. Properties of point estimators and methods of estimation --
10. Hypothesis testing --
11. Linear models and estimation by least squares --
12. Considerations in designing experiments --
13. The analysis of variance --
14. Analysis of categorical data --
15. Nonparametric statistics --
16. Introduction to Bayesian methods.
In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research.