Introduction to probability theory and statistical inference

Harold J. Larson

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.

「Nielsen BookData」より

[目次]

  • Set Theory. Probability. Random Variables and Distribution Functions. Some Standard Probability Laws. Jointly Distributed Random Variables. Descriptive and Inferential Statistics. Estimation of Parameters. Tests of Hypotheses. Least Squares and Regression. Nonparametric Methods. Bayesian Methods. Appendices. Answers to Exercises. Index.

「Nielsen BookData」より

この本の情報

書名 Introduction to probability theory and statistical inference
著作者等 Larson, Harold J.
シリーズ名 Wiley series in probability and mathematical statistics
出版元 Wiley
刊行年月 c1982
版表示 3rd ed
ページ数 xi, 637 p.
大きさ 24 cm
ISBN 047186546X
0471059099
NCID BA03429623
※クリックでCiNii Booksを表示
言語 英語
出版国 アメリカ合衆国
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