Research Article

Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters

Volume: 19 Number: 2026 October 29, 2026
TR EN

Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters

Abstract

This study compares the performance of weighted least squares estimators obtained using five different weight functions for estimating the shape and scale parameters of the Birnbaum–Saunders distribution. A Monte Carlo simulation study is conducted for different parameter values and sample sizes, and the estimators are evaluated using absolute bias and mean squared error. The effect of replacing specified proportions of observations with outliers on parameter estimation is also examined. To illustrate the applicability of the methods, a dataset on the fatigue life of aluminum specimens is analyzed. The simulation and real-data findings show that the choice of weight function affects estimation performance and sensitivity to outliers.

Keywords

References

  1. [1] Z. W. Birnbaum, S. C. Saunders, 1969, A new family of life distributions. Journal of Applied Probability, 6(2), 319–327. https://doi.org/10.2307/3212003
  2. [2] M. Ferreira, M. I. Gomes, V. Leiva, 2012, On an extreme value version of the Birnbaum–Saunders distribution. REVSTAT–Statistical Journal, 10(2), 181–210. https://doi.org/10.57805/revstat.v10i2.116
  3. [3] Z. Sawlan, M. Scavino, R. Tempone, 2024, Modeling metallic fatigue data using the Birnbaum–Saunders distribution. Metals, 14(5), Article 508. https://doi.org/10.3390/met14050508
  4. [4] O. M. Bdair, 2025, Inference for two-parameter Birnbaum–Saunders distribution based on type-II censored data with application to the fatigue life of aluminum coupon cuts. Mathematics, 13(4), Article 590. https://doi.org/10.3390/math13040590
  5. [5] P. Shahmirzalou, A. Rasekhi, M. Jafari Khaledi, M. Khayamzadeh, 2024, Comparison performance of the Bayesian Approach with the Weibull and Birnbaum-Saunders distributions in imputation of time-to-event censors. PLOS ONE, 19(1), e0295977. https://doi.org/10.1371/journal.pone.0295977
  6. [6] V. Leiva, M. Barros, G. A. Paula, M. Galea, 2007, Influence diagnostics in log-Birnbaum–Saunders regression models with censored data. Computational Statistics & Data Analysis, 51(12), 5694–5707. https://doi.org/10.1016/j.csda.2006.09.020
  7. [7] V. Leiva, M. G. Ponce, C. Marchant, O. Bustos, 2012, Fatigue statistical distributions useful for modeling diameter and mortality of trees. Revista Colombiana de Estadística, 35(3), 349–370.
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Details

Primary Language

English

Subjects

Applied Statistics

Journal Section

Research Article

Publication Date

October 29, 2026

Submission Date

October 18, 2026

Acceptance Date

October 29, 2026

Published in Issue

Year 2026 Volume: 19 Number: 2026

APA
Aydın, D. (2026). Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters. İstatistikçiler Dergisi:İstatistik Ve Aktüerya, 19(2026), 116-131. https://izlik.org/JA32KE38RG
AMA
1.Aydın D. Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters. JSSA. 2026;19(2026):116-131. https://izlik.org/JA32KE38RG
Chicago
Aydın, Demet. 2026. “Effects of Weight Functions on Weighted Least Squares Estimation of Birnbaum–Saunders Parameters”. İstatistikçiler Dergisi:İstatistik Ve Aktüerya 19 (2026): 116-31. https://izlik.org/JA32KE38RG.
EndNote
Aydın D (October 1, 2026) Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters. İstatistikçiler Dergisi:İstatistik ve Aktüerya 19 2026 116–131.
IEEE
[1]D. Aydın, “Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters”, JSSA, vol. 19, no. 2026, pp. 116–131, Oct. 2026, [Online]. Available: https://izlik.org/JA32KE38RG
ISNAD
Aydın, Demet. “Effects of Weight Functions on Weighted Least Squares Estimation of Birnbaum–Saunders Parameters”. İstatistikçiler Dergisi:İstatistik ve Aktüerya 19/2026 (October 1, 2026): 116-131. https://izlik.org/JA32KE38RG.
JAMA
1.Aydın D. Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters. JSSA. 2026;19:116–131.
MLA
Aydın, Demet. “Effects of Weight Functions on Weighted Least Squares Estimation of Birnbaum–Saunders Parameters”. İstatistikçiler Dergisi:İstatistik Ve Aktüerya, vol. 19, no. 2026, Oct. 2026, pp. 116-31, https://izlik.org/JA32KE38RG.
Vancouver
1.Demet Aydın. Effects of weight functions on weighted least squares estimation of Birnbaum–Saunders parameters. JSSA [Internet]. 2026 Oct. 1;19(2026):116-31. Available from: https://izlik.org/JA32KE38RG