Introduction to probability and statistics for scientists and engineers
Author(s)
Bibliographic Information
Introduction to probability and statistics for scientists and engineers
（McGraw-Hill series in probability and statistics / David Blackwell and Herbert Solomon, consulting editors）
McGraw-Hill, c1997
International ed.
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Note
Includes index
Description and Table of Contents
Description
This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the traditional topics of a first course in statistics, this new text emphasizes modeling, displaying, interpreting, and collecting data for a variety of scientific and engineering applications.
Table of Contents
1 Data Analysis2 Probability Theory3 Discrete Random Variables and their Distribution Functions4 Continuous Random Variables and their Distribution Functions5 Multivariate Probability Distributions6 Sampling Distribution Theory7 Point and Interval Estimation8 Inferences about Population Means9 Inferences about Population Proportions10 Linear Regression and Correlation11 Multiple Linear Regression12 Single Factor Experiments: Analysis of Variance13 Design and Analysis of Multifactor Experiments14 Statistical Quality ControlAppendix A: TablesAnswers to Odd-Numbered Problems
by "Nielsen BookData"
