Nonparametric statistical method for prediction in case of data including double-censored observations

Asamh Saleh M. Al Luhayb

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Nonparametric statistical method for prediction in case of data including double-censored observations

Author(s)

Asamh Saleh M. Al Luhayb Department of Mathematics, College of Science, Qassim University P.,O. Box 6644, Buraydah 51452,Saudi Arabia

Abstract

This paper introduces a new nonparametric statistical method for prediction in case of data containing right-censored observations and left-censored observations simultaneously. The method can be considered as a new version of Hill's A(n) assumption for doublecensored data. Two bounds are derived to predict the survival function for one future observation X n+1 and compare those bounds with two nonparametric maximum likelihood estimators of the survival function. Two interesting features are provided based on the proposed method. The first one is the detailed graphical presentation of the effects of rightand left-censoring. The second feature is that the lower and upper survival functions can be derived.

Publication Details

Page(s) 485-500

DOI DOI not available

Published Journal: Pakistan Journal of Statistics, Volume: 39, Issue: 4, Year: 2023

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Keywords

Prediction, Double-censored data, Hill’s (n) A assumption, nonparametric predictive inference, right-censoring- (n) A assumption, statistical model.

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