Robert d duval (21 risultati)

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Condizione: Very Good. Very Good condition. Volume 95. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

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Trade Paperback. Condizione: Fine. Condizione sovraccoperta: wraps. First Edition, 8th Printing. This is a fine, unmarked, paperback copy, green cover.

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Condizione: New.

Stapled Wraps. Condizione: Fine. First Edition, First Printing. pp. 24. Slim 8vo. Illustrated stapled card covers. Black and white maps, photographs, illustrations. No detectable flaws, contents bright, clean, and unmarked with tight, sound binding; fine. Signed by the author to the title page.

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Paperback. Condizione: Brand New. 1st edition. 80 pages. 8.35x5.50x0.25 inches. In Stock.

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Taschenbuch. Condizione: Neu. Neuware - This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . . --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages. …

Taschenbuch. Condizione: Neu. Neuware -This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . . --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages. 80 pp. Englisch. …

Condizione: New. Print on Demand pp. 80.

Condizione: New. Print on Demand pp. 80 1st Edition.

Condizione: New. PRINT ON DEMAND pp. 80.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnChristopher Z. Mooney is a professor of political studies with a joint appointment in the Institute of Government and Public Affairs.Mooney studies U.S. state politics and policy, with special focus on legislative .…