Elements of Statistical Computing is popular PDF and ePub book, written by R.A. Thisted in 2017-10-19, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Elements of Statistical Computing can be Read Online from any device for your convenience.
Elements of Statistical Computing Book PDF Summary
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.
Detail Book of Elements of Statistical Computing PDF
- Author : R.A. Thisted
- Release : 19 October 2017
- Publisher : Routledge
- ISBN : 9781351452755
- Genre : Mathematics
- Total Page : 448 pages
- Language : English
- PDF File Size : 7,8 Mb
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