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Statistical intervals : a guide for practitioners and researchers / William Q. Meeker, Gerald J. Hahn and Luis A. Escobar.

By: Meeker, William Q [author].
Contributor(s): Hahn, Gerald J [author] | Escobar, Luis A [author].
Material type: TextTextSeries: Wiley series in probability and statistics.Publisher: New Jersey : John Wiley & Sons, ©2017Edition: Second edition.Description: xxxv, 592 pages : illustrations ; 26 cm.ISBN: 9780471687177 .Subject(s): Statistical inference | Mathematical statisticsDDC classification: 000SA.1
Contents:
1. Introduction, basic concepts, and assumptions -- 2. Overview of different types of statistical intervals -- 3. Constructing statistical intervals assuming a normal distribution using simple tabulations -- 4. Methods for calculating statistical intervals for a normal distribution -- 5. Distribution-free statistical intervals -- 6. Statistical intervals for a binomial distribution -- 7. Statistical intervals for a poisson distribution -- 8. Sample size requirements for confidence intervals on distribution parameters -- 9. Sample size requirements for tolerance intervals, tolerance bounds, and related demonstration tests -- 10. Sample size requirements for prediction intervals -- 11. Basic case studies -- 12. Likelihood-based statistical intervals -- 13. Nonparametric bootstrap statistical intervals -- 14. Parametric bootstrap and other simulation-based statistical intervals -- 15. Introduction to Bayesian statistical intervals -- 16. Bayesian statistical intervals for the binomial, poisson, and normal distributions -- 17. Statistical intervals for Bayesian hierarchical models -- 18. Advanced case studies.
Summary: Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up–to–date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
000SA.1 M494 (Browse shelf) Available 138277
Total holds: 0

Includes bibliographical references and index.

1. Introduction, basic concepts, and assumptions --
2. Overview of different types of statistical intervals --
3. Constructing statistical intervals assuming a normal distribution using simple tabulations --
4. Methods for calculating statistical intervals for a normal distribution --
5. Distribution-free statistical intervals --
6. Statistical intervals for a binomial distribution --
7. Statistical intervals for a poisson distribution --
8. Sample size requirements for confidence intervals on distribution parameters --
9. Sample size requirements for tolerance intervals, tolerance bounds, and related demonstration tests --
10. Sample size requirements for prediction intervals --
11. Basic case studies --
12. Likelihood-based statistical intervals --
13. Nonparametric bootstrap statistical intervals --
14. Parametric bootstrap and other simulation-based statistical intervals --
15. Introduction to Bayesian statistical intervals --
16. Bayesian statistical intervals for the binomial, poisson, and normal distributions --
17. Statistical intervals for Bayesian hierarchical models --
18. Advanced case studies.

Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up–to–date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.

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