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
Density Estimation for Statistics and Data Analysis
โ Scribed by B. W. Silverman (auth.)
- Publisher
- Springer US
- Year
- 1986
- Tongue
- English
- Leaves
- 183
- Series
- Monographs on Statistics and Applied Probability
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-ix
Introduction....Pages 1-6
Survey of existing methods....Pages 7-33
The kernel method for univariate data....Pages 34-74
The kernel method for multivariate data....Pages 75-94
Three important methods....Pages 95-119
Density estimation in action....Pages 120-158
Back Matter....Pages 159-175
๐ SIMILAR VOLUMES
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
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students
An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical dataSmoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather tha