On the Applications of Transmuted Inverted Weibull Distribution

On the Applications of Transmuted Inverted Weibull Distribution

Olayode Fatoki

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Ogunde Adebisi Ade

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Fatoki Olayode

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Oseghale Osezuwa Innocent

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On the Applications of Transmuted Inverted Weibull Distribution

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Abstract

In this paper, we introduce a new distribution called transmuted inverted Weibull distribution (TIWD).The new distribution was used in analyzing bathtub failure rates lifetime data.We consider the standard transmuted inverted Weibull distribution (TIWD) that generalizes the standard inverted Weibull distribution (IWD), the new distribution has two shape parameters. The moments, median, survival function, hazard function, maximum likelihood estimators, leastsquares estimators, fisher information matrix and asymptotic confidence intervals were obtained. A real data set is analyzed and it is observed that the (TIWD) distribution can provide a better fitting than (IWD) distribution.

References

12 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Olayode Fatoki. 2017. \u201cOn the Applications of Transmuted Inverted Weibull Distribution\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 17 (GJSFR Volume 17 Issue F6): .

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GJSFR Volume 17 Issue F6
Pg. 25- 37

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-F Classification: MSC 2010: 97K80

Submission ReceivedAugust 31, 2017
Peer Review Double Blind
Handling Editor
Accepted September 21, 2017
Published October 6, 2017

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v1.2

Issue date

November 8, 2017

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Article Matrices

Total Score: 103

Country: Nigeria

Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision

Authors: Ogunde Adebisi Ade, Fatoki Olayode, Oseghale Osezuwa Innocent (PhD/Dr. count: 0)

View Count (all-time): 176

Total Views (Real + Logic): 3331

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Publish Date: 2017 11, Wed

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Total Views: 3331

Total Downloads: 1630

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