Introduction to probability and statistics
著者
書誌事項
Introduction to probability and statistics
（Statistics : textbooks and monographs, v. 136）
Dekker, c1993
2nd ed., rev. and expanded
大学図書館所蔵 全28件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.
目次
- Introduction
- general concepts of probability
- random variables, probability distributions, and characteristic functions, stochastic convergence and limit theorems
- concepts of statistics
- univariate distributions
- multivariate distributions
- order statistics and related distributions
- statistical inference - parametric point estimation
- testing of statistical hypotheses
- large-sample methods
- statistical decision theory
- sequential analysis
- nonparametric methods
- general linear hypothesis and analysis of variance
- some applications of analysis of variance
- appendix A - vectors and matrices
- appendix B - statistical tables.
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