
Density Estimation for Statistics and Data Analysis (English, Silverman Bernard. W. | Silverman | Silverman Silverman)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780412246203 |
| ISBN-10 | 0412246201 |
| Author | Silverman Bernard. W. | Silverman | Silverman Silverman |
Product Description
About the Book
Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to the technique's practical value. Furthermore, the subject has been rather inaccessible to the general statistician. The account presented in this book places emphasis on topics of methodological importance, in the hope that this will facilitate broade…
ISBN: 9780412246203
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Density Estimation for Statistics and Data Analysis
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
Still the best
This book is a classic, and the material is still useful and relevant today. This book has been cited thousands of times. It is a must for any student specializing in density estimation.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 co











