Elements of Statistical Computing
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Elements of Statistical Computing by Ra Thisted
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."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."
| SKU | CIN0412013711G |
| ISBN 13 | 9780412013713 |
| ISBN 10 | 0412013711 |
| Title | Elements of Statistical Computing |
| Author | Ra Thisted |
| Condition | Good |
| Publisher | Taylor & Francis Ltd |
| Year published | 1988-03-01 |
| Number of pages | 448 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us |
