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Probability and Statistical Inference (GE)
- ISBN13：9781292062358
- 出版社：PRENTICE-HALL;INC.
- 作者：Hogg
- 裝訂／頁數：平裝／552頁
- 版次：9
- 出版日：2014/12/30
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商品簡介
1.The new organization: presents information in a logical, easy-to-grasp sequence, incorporating the latest trends and scholarship in the field of probability and statistical inference. Balanced coverage of probability and statistics includes:
•Five chapters that focus on probability and probability distributions, including discrete data, order statistics, multivariate distributions, and normal distribution.
•The text’s second half emphasizes statistics and statistical inference, including estimation, Bayesian estimation, tests of statistical hypotheses, and methods for quality improvement.
2.The student-friendly approach:reinforces basic mathematical concepts, requiring just a calculus background.
3.Application-oriented content:features real-world scenarios in the exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports.
•Integration of computer-based data and applications showcases the increased use of data and computers for calculating probabilities, analyzing data, solving problems, and conducting simulations.
4.Historical vignettes:at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course.
5.All of the data sets are available online at the Pearson Math & Stats Resources website in formats for use with most statistical software packages; enhanced figures from the text and Maple examples are also available.
•Five chapters that focus on probability and probability distributions, including discrete data, order statistics, multivariate distributions, and normal distribution.
•The text’s second half emphasizes statistics and statistical inference, including estimation, Bayesian estimation, tests of statistical hypotheses, and methods for quality improvement.
2.The student-friendly approach:reinforces basic mathematical concepts, requiring just a calculus background.
3.Application-oriented content:features real-world scenarios in the exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports.
•Integration of computer-based data and applications showcases the increased use of data and computers for calculating probabilities, analyzing data, solving problems, and conducting simulations.
4.Historical vignettes:at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course.
5.All of the data sets are available online at the Pearson Math & Stats Resources website in formats for use with most statistical software packages; enhanced figures from the text and Maple examples are also available.
作者簡介
◎作者：Robert V. Hogg
現職：University of Iowa
◎作者：Elliot A. Tanis
現職：Hope College
◎作者：Dale L. Zimmerman
現職：University of Iowa
◎作者：Elliot A. Tanis
現職：Hope College
◎作者：Dale L. Zimmerman
目次
Ch 1 Probability
Ch 2 Discrete Distributions
Ch 3 Continuous Distributions
Ch 4 Bivariate Distributions
Ch 5 Distributions of Functions of Random Variables
Ch 6 Point Estimation
Ch 7 Interval Estimation
Ch 8 Tests of Statistical Hypotheses
Ch 9 More Tests
Ch 2 Discrete Distributions
Ch 3 Continuous Distributions
Ch 4 Bivariate Distributions
Ch 5 Distributions of Functions of Random Variables
Ch 6 Point Estimation
Ch 7 Interval Estimation
Ch 8 Tests of Statistical Hypotheses
Ch 9 More Tests
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