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Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)

John F. Monahan




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 | #2619781 in Books |  2011-04-18 |  2011-06-09 | Original language:English | PDF # 1 |  9.96 x.98 x8.46l,1.80 | File type: PDF | 464 pages

||0 of 0 people found the following review helpful.| The first edition was reasonably useful. The second edition adds very few sections|By Michael L Berbaum|The first edition was reasonably useful. The second edition adds very few sections; 95% of pages are literally identical to those of the first edition. For so little there was no legitimate reason to produce a second edition. Since the revised code (R instead of Fortran) i| |from the previous edition '... an excellent tool both for self-study and for classroom teaching. It summarizes the state of the art well and provides a solid basis, through the programs that go with the book, for numerical experimentation and further develop

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...

You can specify the type of files you want, for your device.Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)   |  John F. Monahan. A good, fresh read, highly recommended.

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