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Numerical Analysis for Statisticians
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Binding: Hardcover
Dewey Decimal Number: 519.4
EAN: 9780387949796
Edition: Corrected
ISBN: 0387949798
Label: Springer
Manufacturer: Springer
Number Of Items: 1
Number Of Pages: 371
Publication Date: November 29, 2000
Publisher: Springer
Studio: Springer
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Editorial Review:
This book presents topics in numerical analysis for statisticians. It would be suitable as a text for a graduate course in statistical computing. The focus is on principles of numerical analysis intended to equip students to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Customer Reviews
Average Rating: 
Rating:  - best since Ron Thisted's book
Ron Thisted's book on computing algorithms for statisticians was one of the most useful and clearly written texts on the topic. There have also been a few other good ones. Lange brings to the table a more current book that deals with the key new methods such as resampling, Markov chain Monte Carlo, Fourier series and wavelets,the EM algorithm and extensions of it. He also includes useful but uncommon results for power series, exponentiating matrices and continued fraction expansions.
The usual ... Read More
Rating:  - Look elsewhere
The author states in the introduction "My focus on principles of
numerical analysis is intended to equip students to craft their own
software and to understand the advantages and disadvantages of different
numerical methods". Lets look at a few topics to see whether these
lofty goals were achieved.
Least-squares calculations: The chapter on linear regression is nine
pages. The largest section is on the sweep operator (the problems with
the sweep are not ... Read More
Rating: - best stat computing book since Thisted
Ron Thisted's book on computing algorithms for statisticians was one of the most useful and clearly written texts on the topic. There have also been a few other good ones. Lange brings to the table a more current book that deals with the key new methods such as resampling, Markov chain Monte Carlo, Fourier series and wavelets,the EM algorithm and extensions of it. He also includes useful but uncommon results for power series, exponentiating matrices and continued fraction expansions.
The usual ... Read More
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