Elements of Statistical Computing: NUMERICAL COMPUTATION

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9780412013713: Elements of Statistical Computing: NUMERICAL COMPUTATION

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing.

The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.

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Very readable...This is an authoritative and well-written book which is also of considerable practical use...It is highly recommended.
eadable...This is an authoritative and well-written book which is also of considerable practical use...It is highly recommended.

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Thisted, R. A.
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Book Description Taylor Francis Ltd, United States, 1988. Hardback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques. Bookseller Inventory # BTE9780412013713

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Book Description 1988. Hardcover. Book Condition: New. 1st. Hardcover. Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 448 pages. 0.803. Bookseller Inventory # 9780412013713

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