- Hardcover: 176 pages
- Publisher: Chapman and Hall (April 1, 1986)
- Language: English
- ISBN-10: 0412246201
- ISBN-13: 978-0412246203
- Product Dimensions: 5.5 x 0.4 x 8.5 inches
- Shipping Weight: 13.6 ounces (View shipping rates and policies)
- Average Customer Review: 5.0 out of 5 stars See all reviews (3 customer reviews)
- Amazon Best Sellers Rank: #1,139,964 in Books (See Top 100 in Books)
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Density Estimation for Statistics and Data Analysis
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"This well-written and moderately priced volume has removed any excuse for ignorance concerning density estimation on the part of applied statisticians; they will find the style refreshingly down-to-earth, and will value the clearsighted exposition. I thoroughly enjoyed reading it, and can recommend it wholeheartedly." -Short Book Reviews "Highly recommended." -Choice
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Top Customer Reviews
It is well-written and easy to follow. I am not a statistician--a geographer actually--and I would not be successful without this book.
I also recommend: Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley Series in Probability and Statistics) by Scott. It is a little more update and covers newer topics.
It is also filled with good practical examples and advice. For instance, the Old Faithful data provides an excellent example of a bimodal distribution where kernel density estimation provides a way to detect the two modes.
The author was also very perceptive in recognizing the value of projection pursuit techniques and bootstrap methods and the way density estimation techniques relate to these methods.
The book has the virtue of being clear and concise.