Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data

Joint Authors

Chiang, Jyun-You
Wang, Shuai
Tsai, Tzong-Ru
Li, Ting

Source

Mathematical Problems in Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-29, 29 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-10-08

Country of Publication

Egypt

No. of Pages

29

Main Subjects

Civil Engineering

Abstract EN

This paper studies a discriminant problem of location-scale family in case of prediction from type II censored samples.

Three model selection approaches and two types of predictors are, respectively, proposed to predict the future order statistics from censored data when the best underlying distribution is not clear with several candidates.

Two members in the location-scale family, the normal distribution and smallest extreme value distribution, are used as candidates to illustrate the best model competition for the underlying distribution via using the proposed prediction methods.

The performance of correct and incorrect selections under correct specification and misspecification is evaluated via using Monte Carlo simulations.

Simulation results show that model misspecification has impact on the prediction precision and the proposed three model selection approaches perform well when more than one candidate distributions are competing for the best underlying distribution.

Finally, the proposed approaches are applied to three data sets.

American Psychological Association (APA)

Chiang, Jyun-You& Wang, Shuai& Tsai, Tzong-Ru& Li, Ting. 2018. Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-29.
https://search.emarefa.net/detail/BIM-1206819

Modern Language Association (MLA)

Chiang, Jyun-You…[et al.]. Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data. Mathematical Problems in Engineering No. 2018 (2018), pp.1-29.
https://search.emarefa.net/detail/BIM-1206819

American Medical Association (AMA)

Chiang, Jyun-You& Wang, Shuai& Tsai, Tzong-Ru& Li, Ting. Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-29.
https://search.emarefa.net/detail/BIM-1206819

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1206819