Search Result

Select Article Type
Abstract Supplements
Blood Group Review
Call to Arms
Communications
Hypothesis
In Memoriam
Interview
Introduction
Letter to the Editor
Short Report
abstract
Abstracts
Article
book-review
case-report
case-study
Clinical Practice
Commentary
Conference Presentation
conference-report
congress-report
Correction
critical-appraisal
Editorial
Editorial Comment
Erratum
Events
in-memomoriam
Letter
Letter to Editor
mini-review
minireview
News
non-scientific
Obituary
original-paper
original-report
Original Research
Pictorial Review
Position Paper
Practice Report
Preface
Preliminary report
Product Review
rapid-communication
Report
research-article
Research Communicate
research-paper
Research Report
Review
review -article
review-article
review-paper
Review Paper
Sampling Methods
Scientific Commentary
serologic-method-review
short-communication
short-report
Student Essay
Varia
Welome

Select Journal
Statistics In Transition

Article | 06-July-2017

KERNEL ESTIMATION OF CUMULATIVE DISTRIBUTION FUNCTION OF A RANDOM VARIABLE WITH BOUNDED SUPPORT

In the paper methods of reducing the so-called boundary effects, which appear in the estimation of certain functional characteristics of a random variable with bounded support, are discussed. The methods of the cumulative distribution function estimation, in particular the kernel method, as well as the phenomenon of increased bias estimation in boundary region are presented. Using simulation methods, the properties of the modified kernel estimator of the distribution function are investigated

Aleksandra Baszczyńska

Statistics in Transition New Series, Volume 17 , ISSUE 3, 541–556