✦ LIBER ✦

Density Estimation for Statistics and Data Analysis

✍ Scribed by Dehnad, Khosrow

Book ID: 120221128
Publisher: American Statistical Association
Year: 1987
Tongue: English
Weight: 166 KB
Volume: 29
Category: Article
ISSN: 0040-1706
DOI: 10.1080/00401706.1987.10488295

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Silverman, B. W.: Density Estimation for

Silverman, B. W.: Density Estimation for Statistics and Data Analysis. Chapman & Hall, London – New York 1986, 175 pp., £12.—

✍ H. Läuter 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 184 KB

Density Estimation for Statistics and Da

Density Estimation for Statistics and Data Analysis.by B. W. Silverman

✍ Review by: Alan Julian Izenman 📂 Article 📅 1988 🏛 American Statistical Association 🌐 English ⚖ 517 KB

[Contributions to Statistics] Recent Adv

[Contributions to Statistics] Recent Advances in Functional Data Analysis and Related Topics || Nonparametric Conditional Density Estimation for Functional Data. Econometric Applications

✍ Ferraty, Frédéric 📂 Article 📅 2011 🏛 Physica-Verlag HD ⚖ 532 KB

Computational Statistics (Givens/Computa

Computational Statistics (Givens/Computational Statistics) || Density Estimation and Smoothing

✍ Givens, Geof H.; Hoeting, Jennifer A. 📂 Article 📅 2013 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 23 KB

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: * Optimization * Integration and Simulation * Bootstrapping * Density Estimation and Smoothing Within these sections,e

Estimation of spectral density using sta

Estimation of spectral density using statistical energy analysis

✍ K Renji 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 187 KB

Logspline density estimation for binned

Logspline density estimation for binned data

✍ Ja-Yong Koo; Charles Kooperberg 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 200 KB

In this paper we consider logspline density estimation for binned data. Rates of convergence are established when the log-density function is assumed to be in a Besov space. An algorithm involving a procedure similar to maximum likelihood, stepwise knot addition, and stepwise knot deletion is propos