Title

A Comparison Of Nonparametric Unweighted And Length-Biased Density Estimation Of Fibres

Keywords

asymptotic normality; kernel estimtor; length biased density; nonparametric density estimation

Abstract

Two sampling procedures used to estimate the distribution of the length of textile fibres are studied. Estimators of the density function of fibre length and the asymptotic properties of these estimators are discussed. Simulations were undertaken to compare mean square errors of the estimators for various sample sizes. © 1988, Taylor & Francis Group, LLC. All rights reserved.

Publication Date

1-1-1988

Publication Title

Communications in Statistics - Theory and Methods

Volume

17

Issue

11

Number of Pages

3629-3644

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/03610928808829825

Socpus ID

84948231767 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84948231767

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