A modern introduction to probability and statistics : understanding why and how

Responsibility F.M. Dekking [and others]. Language English. English. Digital text file; PDF Imprint London : Springer, ©2005. Physical description 1 online resource (xv, 486 pages) : illustrations Series Springer texts in statistics.

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Description

Creators/Contributors

Contributor Dekking, Michel, 1946-

Contents/Summary

• Why probability and statistics?.- Outcomes, events, and probability.- Conditional probability and independence.- Discrete random variables.- Continuous random variables.- Simulation.- Expectation and variance.- Computations with random variables.- Joint distributions and independence.- Covariance and correlation.- More computations with more random variables.- The Poisson process.- The law of large numbers.- The central limit theorem.- Exploratory data analysis: graphical summaries.- Exploratory data analysis: numerical summaries.- Basic statistical models.- The bootstrap.- Unbiased estimators.- Efficiency and mean squared error.- Maximum likelihood.- The method of least squares.- Confidence intervals for the mean.- More on confidence intervals.- Testing hypotheses: essentials.- Testing hypotheses: elaboration.- The t-test.- Comparing two samples.
• (source: Nielsen Book Data)

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Bibliographic information

Publication date 2005 Title variation Introduction to probability and statistics Probability and statistics Series Springer texts in statistics In Springer eBooks ISBN 9781846281686 (electronic book) 1846281687 (electronic book) 9781852338961 (acid-free paper) 1852338962 (acid-free paper) 9781849969529 (print) 1849969523 (print) 6611328688 9786611328689 DOI 10.1007/1-84628-168-7

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Start at call number: QA273 .M645 2005