New method for prediction of future order statistics. Issue 1 (2nd January 2021)

• Record Type: Journal Article
• Authors: Barakat, Haroon M.; Khaled, Osama M.; Ghonem, Hadeer A.
• Is Part Of: Quality technology & quantitative management. Volume 18:Issue 1(2021)
• Page Start: 101
• Page End: 116
• Publication Date: 2021-01-02
• Subjects: Order statistics -- characterization of distributions -- point D-predictor -- mixture distributions -- Monte Carlo simulation; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2020.1782087
• Languages: English
• ISSNs: 1684-3703

Abstract

ABSTRACT: In this paper, we suggest a new efficient method, that yields two new point predictors, for predicting future order statistics, when the sample size remains fixed and when it is enlarged. The two suggested point predictors are constructed based on some characterization properties of order statistics via their distributions. A comprehensive simulation study is conducted on several distributions, among them is a mixture distribution, to evaluate the performance of the suggested predictors. Two examples of lifetime real data are analyzed in which several methods of the point predictions are compared.