Nonparametric Prediction Intervals of generalized order statistics from two independent sequences

Mostafa Mohie El-Din; Walid Emam

doi:10.14419/ijasp.v4i1.5896

Article Details

Nonparametric Prediction Intervals of generalized order statistics from two independent sequences

Authors:

Mostafa Mohie El-Din | Walid Emam

Publisher:

Science Publishing Corporation

Journal:

International Journal of Advanced Statistics and Probability Vol.4 Issue 1, pp.36-46

Document Type:

Article

Publication Date:

3/2016

Document Language:

English

Document ID (Org No.):

2001387013

pISSN:

2307-9045

DOI:

10.14419/ijasp.v4i1.5896

Keywords:

Prediction intervals

Abstract:

 This paper, discusses the problem of predicting future a generalized order statistic of an iid sequence sample was drawn from an arbitrary unknown distribution, based on observed also generalized order statistics from the same population. The coverage probabilities of these prediction intervals are exact and free of the parent distribution F(). Prediction formulas of ordinary order statistics and upper record values are extracted as special cases from the productive results. Finally, numerical computations on several models of ordered random variables are given to illustrate the proposed procedures.

Article Details

Nonparametric Prediction Intervals of generalized order statistics from two independent sequences

Authors: Mostafa Mohie El-Din | Walid Emam

Publisher: Science Publishing Corporation

Journal: International Journal of Advanced Statistics and Probability Vol.4 Issue 1, pp.36-46

Document Type: Article

Publication Date: 3/2016

Document Language: English

Document ID (Org No.): 2001387013

pISSN: 2307-9045

DOI: 10.14419/ijasp.v4i1.5896

Prediction intervals

Issues

Authors:

Mostafa Mohie El-Din | Walid Emam

Publisher:

Science Publishing Corporation

Journal:

International Journal of Advanced Statistics and Probability Vol.4 Issue 1, pp.36-46

Document Type:

Article

Publication Date:

3/2016

Document Language:

English

Document ID (Org No.):

2001387013

pISSN:

2307-9045

DOI:

10.14419/ijasp.v4i1.5896