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Probability : an introduction with statistical applications / John J. Kinney.

By: Material type: TextTextPublication details: New Jersey : John Wiley, c2015.Edition: 2nd edDescription: xv, 464 p. : illustrations ; 26 cmISBN:
  • 9781118947081 (cloth)
Subject(s): DDC classification:
  • 519.2 23 K55
Contents:
1. Sample Spaces and Probability -- 2. Discrete Random Variables and Probability Distributions -- 3. Continuous Random Variables and Probability Distributions -- 4. Functions of Random Variables, Generating Functions, and Statistical Applications -- 5. Bivariate Probability Distributions -- 6. Recursions and Markov Chains-- 7. Some Challenging Problems-- Bibliography-- Appendixes-- Index.
Summary: Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.2 K55 (Browse shelf(Opens below)) Available 136403
Total holds: 0

Includes bibliographical references and index.

1. Sample Spaces and Probability --
2. Discrete Random Variables and Probability Distributions --
3. Continuous Random Variables and Probability Distributions --
4. Functions of Random Variables, Generating Functions, and Statistical Applications --
5. Bivariate Probability Distributions --
6. Recursions and Markov Chains--
7. Some Challenging Problems--
Bibliography--
Appendixes--
Index.

Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs.

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