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

F.M. Dekking ... [et al.]

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included - this is a modern method missing in many other books

「Nielsen BookData」より


  • 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.

「Nielsen BookData」より


書名 A modern introduction to probability and statistics : understanding why and how
著作者等 Dekking F. M
Kraaikamp C
Lopuhaa H P
Meester L E
Dekking Michel
シリーズ名 Springer texts in statistics
出版元 Springer
刊行年月 c2005
版表示 1st ed. 2005. Corr. 2nd printing 2007
ページ数 xv, 486 p.
大きさ 24 cm
ISBN 1852338962
NCID BA72679561
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言語 英語
出版国 イギリス