Verwandte Artikel zu Numerical Methods of Statistics: 32 (Cambridge Series...
Numerical Methods of Statistics: 32 (Cambridge Series in Statistical and Probabilistic Mathematics) - Softcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
John F. Monahan is a Professor of Statistics at North Carolina State University where he joined the faculty in 1978 and has been a professor since 1990. His research has appeared in numerous computational as well as statistical journals. He is also the author of A Primer on Linear Models (2008).
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 38,16
EUR 3,88 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerWeitere beliebte Ausgaben desselben Titels
Suchergebnisse für Numerical Methods of Statistics: 32 (Cambridge Series...
Beispielbild für diese ISBN
Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)
Anbieter: Labyrinth Books, Princeton, NJ, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Artikel-Nr. 134708
Anzahl: 11 verfügbar
Beispielbild für diese ISBN
Numerical Methods of Statistics
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 464. Artikel-Nr. 6236293
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9780521139519_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Numerical Methods of Statistics
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 2nd edition. 447 pages. 10.00x7.00x1.00 inches. In Stock. Artikel-Nr. x-0521139511
Anzahl: 2 verfügbar
Foto des Verkäufers
Numerical Methods of Statistics
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. 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. Artikel-Nr. 9780521139519
Anzahl: 1 verfügbar