eprintid: 2199
rev_number: 10
eprint_status: archive
userid: 6
dir: disk0/00/00/21/99
datestamp: 2019-03-07 13:53:05
lastmod: 2019-03-07 13:53:05
status_changed: 2019-03-07 13:53:05
type: book
metadata_visibility: show
creators_name: Silverman, Bernard W.
corp_creators: School of Mathematics University of Bath, UK
title: Density estimation for statistics and data analysis
subjects: O
divisions: SHEER
full_text_status: none
abstract: The probability density function is a fundamental concept in statistics. Consider any random quantity X that has probability
density function f . Specifying the function f gives a natural description of the distribution of X , and allows probabilities
associated with X to be found from the relation

Suppose, now, that we have a set of observed data points assumed to be a sample from an unknown probability density function.
Density estimation, as discussed in this book, is the construction of an estimate of the density function from the observed data.
The two main aims of the book are to explain how to estimate a density from a given data set and to explore how density
estimates can be used, both in their own right and as an ingredient of other statistical procedures.
date: 1986
date_type: published
publication: Monographs on Statistics and Applied Probability
publisher: CRC Press
pages: 176
isbn: 9780412246203
official_url: https://www.crcpress.com/Density-Estimation-for-Statistics-and-Data-Analysis/Silverman/p/book/9780412246203
access_IS-EPOS: limited
software_references: Test_for_Multimodal_Magnitude_Distrybution
owner: Publisher
citation:   Silverman, Bernard W.  (1986) Density estimation for statistics and data analysis.    CRC Press.  ISBN 9780412246203