Verlag: Cambridge University Press, 2001
ISBN 10: 0521791685 ISBN 13: 9780521791687
Sprache: Englisch
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Verlag: Cambridge University Press, 2001
ISBN 10: 0521791685 ISBN 13: 9780521791687
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Verlag: Cambridge University Press, 2001
ISBN 10: 0521791685 ISBN 13: 9780521791687
Sprache: Englisch
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Verlag: Chapman and Hall/CRC (edition 1), 2011
ISBN 10: 1420062018 ISBN 13: 9781420062014
Sprache: Englisch
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Verlag: Cambridge University Press, 2001
ISBN 10: 0521791685 ISBN 13: 9780521791687
Sprache: Englisch
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In den WarenkorbZustand: As New. Like New condition. Includes diskette. (Mathematical Statistics, Numerical Analysis).
Verlag: Cambridge University Press, 2011
ISBN 10: 0521139511 ISBN 13: 9780521139519
Sprache: Englisch
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Verlag: Cambridge University Press, 2011
ISBN 10: 0521139511 ISBN 13: 9780521139519
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Verlag: Cambridge University Press, 2011
ISBN 10: 0521139511 ISBN 13: 9780521139519
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Verlag: Cambridge University Press, 2011
ISBN 10: 0521191580 ISBN 13: 9780521191586
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 2nd edition. 447 pages. 10.00x7.00x1.00 inches. In Stock.
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Verlag: Cambridge University Press, 2011
ISBN 10: 0521191580 ISBN 13: 9780521191586
Sprache: Englisch
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Verlag: Cambridge University Press, 2011
ISBN 10: 0521139511 ISBN 13: 9780521139519
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 480 pages. 10.25x7.25x1.00 inches. In Stock.
Verlag: Cambridge University Press, 2011
ISBN 10: 0521191580 ISBN 13: 9780521191586
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.
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In den WarenkorbGebunden. Zustand: New. John F. Monahan A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using n.