Modern mathematical statistics with applications / Jay L Devore and Kenneth N Berk
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TextLanguage: English Series: Springer texts in statisticsPublication details: New York : Springer, ©2012. Edition: 2nd edDescription: xii, 845 p. : ill. ; 26 cmISBN: 9781461403906; 9781461403913Subject(s): Mathematical statistics | Statistique mathématiqueDDC classification: 311.2 Online resources: WorldCat details | E-book Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 311.2 DEM 2012 (Browse shelf(Opens below)) | Not for loan | ||||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 311.2 DEM 2012 (Browse shelf(Opens below)) | C-1 | Not For Loan | 28194 |
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| 310.072 GAS Statistical methods for practice and research : | 310.072 PAS 2005 SPSS survival manual : | 310.727 DAS 2012 Statistics for the health sciences : a non-mathematical introduction / | 311.2 DEM 2012 Modern mathematical statistics with applications / | 312.2 CHL 1984 The life table and its applications / | 312.2 CHL 1984 The life table and its applications / | 315 STA 2011 Statistical Yearbook for Asia and the Pacific 2011 |
Includes indexes.
TOC Overview and Descriptive Statistics --
Probability --
Discrete Random Variables and Probability Distributions --
Continuous Random Variables and Probability Distributions --
Joint Probability Distributions --
Statistics and Sampling Distributions --
Point Estimation --
Statistical Intervals Based on a Single Sample --
Tests of Hypotheses Based on a Single Sample --
Inferences Based on Two Samples --
The Analysis of Variance --
Regression and Correlation --
Goodness-of-Fit Tests and Categorical Data Analysis --
Alternative Approaches to Inference --
Appendix Tables.
Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. The text illustrates statistical concepts and methods through careful explanations and real-data applications.
AS
Sagar Shahanawaz
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