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

[目次]

  • 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

この本の情報

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
※クリックでCiNii Booksを表示
言語 英語
出版国 イギリス
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