Isbn: 9780894642111 - an introduction to applied probability (3 risultati)

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    Lingua: Inglese

    Editore: Robert E. Krieger Publishing Company, Malabar, Florida, 1987

    0894642111 / 9780894642111

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    Da: Aspen Book Co., Denver, CO, U.S.A.Aspen Book Co.

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    Condizione: Usato - Discreto

    EUR 22,10

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    Spedito in U.S.A.

    Quantità: 1 disponibili

    Hardcover. Condizione: Acceptable. Reprint Edition 1987. The book is in good physical condition with a solid hardcover binding. The cover shows minor signs of wear, typical for a used copy, but remains intact and functional. There is no dust jacket present. The spine is strong, and the pages are clean, with no inscriptions or library markings. unknown (no dust jacket visible).

  • Lingua: Inglese

    Editore: Krieger Pub Co, 1987

    0894642111 / 9780894642111

    • Rilegato

    Da: SustainableBooks.com, Amherst, NY, U.S.A.SustainableBooks.com

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    Condizione: Usato - Buono

    EUR 24,04

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    Quantità: 1 disponibili

    Condizione: Good. Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting.

  • Altre immagini

    Lingua: Inglese

    Editore: Krieger Publishing Company, 1987

    0894642111 / 9780894642111

    • Rilegato

    Da: The Anthropologists Closet, West Des Moines, IA, U.S.A.The Anthropologists Closet

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    Condizione: Nuovo

    EUR 64,78

    EUR 4,74 spedizione 
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    Quantità: 1 disponibili

    Hardcover. Condizione: 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.