Alternative Interval Estimation for the Generalized Exponential Distribution with Interval-Censored and Fixed Covariate
- DOI
- 10.2991/978-94-6463-014-5_30How to use a DOI?
- Keywords
- Bootstrap; Jackknife; Interval-censoring; Fixed covariate; Coverage probability study
- Abstract
This paper investigates several alternative methods of constructing confidence interval estimates based on the bootstrap and jackknife techniques for the interval censored generalized exponential distribution with fixed covariates. Simulation studies were conducted to compare the bootstrap techniques, which includes bootstrap-t, bootstrap-percentile, and bootstrap-normal interval estimation methods, with the jackknife confidence interval estimation methods using coverage probability. The results indicate that the bootstrap techniques works better than the jackknife techniques when dealing with interval-censored generalized exponential with fixed covariates.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nada MohammedSaeed Alharbi AU - Jayanthi Arasan AU - Nur Haizum Abd.Rahman AU - Wendy Ling Shin Yie PY - 2022 DA - 2022/12/12 TI - Alternative Interval Estimation for the Generalized Exponential Distribution with Interval-Censored and Fixed Covariate BT - Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022) PB - Atlantis Press SP - 319 EP - 353 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-014-5_30 DO - 10.2991/978-94-6463-014-5_30 ID - Alharbi2022 ER -