Research Article
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Year 1987, Volume: 36 Issue: 02, 0 - 0, 01.01.1987

Fetih Yıldırım

https://doi.org/10.1501/Commua1_0000000547

Abstract

References

  • Ankara Üniversitesi – Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics Dergisi

Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution

Year 1987, Volume: 36 Issue: 02, 0 - 0, 01.01.1987

Fetih Yıldırım

https://doi.org/10.1501/Commua1_0000000547

Abstract

Two improved numerical techiques are employed to compute MLE for the paraıneters of the 3‘parameter V eibuU distribution using complete sample data of large sample size and of large-valued inspection points. For the solution of estimates a new minimal functional is defined and optimized by the descent method and the method of conjugate gradients. The result of both techniques are compared. Asymptotic variance-covariance matrix of estimates for the complete sample is inciuded.

Keywords

Computational Techniques Maximum Likelohood Three-Parameter

References

  • Ankara Üniversitesi – Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics Dergisi
There are 1 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Research Articles
Authors

Fetih Yıldırım This is me

Publication Date January 1, 1987
Submission Date January 1, 1987
Published in Issue Year 1987 Volume: 36 Issue: 02

Cite

APA Yıldırım, F. (1987). Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 36(02). https://doi.org/10.1501/Commua1_0000000547
AMA Yıldırım F. Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. January 1987;36(02). doi:10.1501/Commua1_0000000547
Chicago Yıldırım, Fetih. “Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 36, no. 02 (January 1987). https://doi.org/10.1501/Commua1_0000000547.
EndNote Yıldırım F (January 1, 1987) Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 36 02
IEEE F. Yıldırım, “Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., vol. 36, no. 02, 1987, doi: 10.1501/Commua1_0000000547.
ISNAD Yıldırım, Fetih. “Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 36/02 (January 1987). https://doi.org/10.1501/Commua1_0000000547.
JAMA Yıldırım F. Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 1987;36. doi:10.1501/Commua1_0000000547.
MLA Yıldırım, Fetih. “Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, vol. 36, no. 02, 1987, doi:10.1501/Commua1_0000000547.
Vancouver Yıldırım F. Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 1987;36(02).

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.

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