![](/images/graphics-bg.png)
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
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