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An Introduction to Applied Probability - Hardcover

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9780894642111: An Introduction to Applied Probability

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Designed for a curriculum that contains only 2 single one-semester course on probability. Covers the core of probability theory, considers sums of random variables, derives sampling distributions, and discusses the approximation of distributions. Includes nonstatistical and statistical applications such as hypothesis testing, confidence intervals, and regression analysis. Numerous worked examples throughout the text illustrate the material and each chapter concludes with a number of problems.

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  • PublisherKrieger Pub Co
  • Publication date1987
  • ISBN 10 0894642111
  • ISBN 13 9780894642111
  • BindingHardcover
  • LanguageEnglish
  • Number of pages544
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    • 3.40 out of 5 stars
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9780471060826: Introduction to Applied Probability

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ISBN 10:  0471060828 ISBN 13:  9780471060826
Publisher: John Wiley & Sons Inc, 1981
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Published by Krieger Pub Co, 1987
ISBN 10: 0894642111 ISBN 13: 9780894642111
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ISBN 10: 0894642111 ISBN 13: 9780894642111
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Hardcover. Condition: Very Good. Reprint. reprint, clean no gift inscription or remainder mark. 528 pages with the index.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us. Seller Inventory # X10136x

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Published by Krieger Publishing Company, 1987
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Hardcover. Condition: New. New hardcover in navy case wraps. Pages are clean and free of marks or underlining. 8vo. (6.25 x 1.25 x 9.25 inches) Includes appendices [6], references, index, tables, and figures. 544 pp. Fast shipping in a secure book box mailer with tracking. Designed for a curriculum that contains only 2 single one-semester course on probability. Covers the core of probability theory, considers sums of random variables, derives sampling distributions, and discusses the approximation of distributions. Includes nonstatistical and statistical applications such as hypothesis testing, confidence intervals, and regression analysis. Numerous worked examples throughout the text illustrate the material and each chapter concludes with a number of problems. Seller Inventory # 100746

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