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A New Life Time Model: The Generalized Rayleigh-Truncated Negative Binomial Distribution
J. Gillariose1 , L. Tomy2
Section:Research Paper, Product Type: Journal-Paper
Vol.5 ,
Issue.6 , pp.1-12, Dec-2018
CrossRef-DOI: https://doi.org/10.26438/ijsrmss/v5i6.112
Online published on Dec 31, 2018
Copyright © J. Gillariose, L. Tomy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: J. Gillariose, L. Tomy, “A New Life Time Model: The Generalized Rayleigh-Truncated Negative Binomial Distribution,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.5, Issue.6, pp.1-12, 2018.
MLA Style Citation: J. Gillariose, L. Tomy "A New Life Time Model: The Generalized Rayleigh-Truncated Negative Binomial Distribution." International Journal of Scientific Research in Mathematical and Statistical Sciences 5.6 (2018): 1-12.
APA Style Citation: J. Gillariose, L. Tomy, (2018). A New Life Time Model: The Generalized Rayleigh-Truncated Negative Binomial Distribution. International Journal of Scientific Research in Mathematical and Statistical Sciences, 5(6), 1-12.
BibTex Style Citation:
@article{Gillariose_2018,
author = {J. Gillariose, L. Tomy},
title = {A New Life Time Model: The Generalized Rayleigh-Truncated Negative Binomial Distribution},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {12 2018},
volume = {5},
Issue = {6},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {1-12},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=967},
doi = {https://doi.org/10.26438/ijcse/v5i6.112}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i6.112}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=967
TI - A New Life Time Model: The Generalized Rayleigh-Truncated Negative Binomial Distribution
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - J. Gillariose, L. Tomy
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 1-12
IS - 6
VL - 5
SN - 2347-2693
ER -
Abstract :
In this paper, we introduced a generalized form of Rayleigh distribution. Shapes of probability density function and hazard rate function along with sub-models and statistical properties of the proposed distribution are provided. The usefulness of the new distribution is illustrated through real data set by comparing with other generalizations of the Rayleigh distribution. A reliability test plan for acceptance or rejection of a lot of products submitted for inspection with lifetimes governed by this distribution is developed and illustrated with real data set.
Key-Words / Index Term :
Generalized family, Maximum likelihood estimation, Rayleigh distribution, Truncated negative binomial distribution
References :
[1] V.G., Voda ̆, “Inferential procedures on a generalized Rayleigh variate (I)", Aplikace Matematiky, Vol.21, Issue.6, pp.395-–412, 1976.
[2] V.G., Voda ̆, “Inferential procedures on a generalized Rayleigh variate (II)", Aplikace Matematiky, Vol.21, Issue.6, pp.413-–419, 1976.
[3] G.M., Cordeiro, C.T., Cristino, E.M., Hashimoto, E.M.M, Ortega, “The beta generalized Rayleigh distribution with applications to lifetime data", Statistical Papers, Vol.54, Issue.1, pp.113–161, 2013.
[4] A.E., Gomes, C.Q., Da-Silva, G.M., Cordeiro, E.M.M, Ortega, “A new lifetime model: The Kumaraswamy generalized Rayleigh distribution", Journal of Statistical Computation and Simulation, Vol.84, Issue.2, pp.290–309, 2014.
[5] S.M.T.K., MirMostafaee, M., Mahdizadeh, A.J. Lemonte, “The Marshall–Olkin extended generalized Rayleigh distribution: Properties and applications", Journal of Statistical Computation and Simulation, Vol.46, Issue.2, pp.653–671, 2017.
[6] S., Nadarajah, K., Jayakumar, M.M, Ristić, “A new family of lifetime models", Journal of Statistical Computation and Simulation, Vol.83, Issue.8, pp.1–16, 2012.
[7] A.W., Marshall, I., Olkin, “A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families", Biometrica, Vol.84, No.3, pp.641–652, 1997.
[8] K., Jayakumar, K.K, Sankaran, “On a generalization of Uniform distribution and its Properties", Statistica, Vol.6, Issue.3, pp.83–91, 2016.
[9] M.G., Babu, “On a generalization of Weibull distribution and its applications", International Journal of Statistics and Applications, Vol.6, Issue.2, pp.168–176, 2016.
[10] K., Jayakumar, K. K., Sankaran, “Generalized Exponential Truncated Negative Binomial distribution", American Journal of Mathematical and Management Sciences, Vol.36, Issue.2, pp.98–111, 2017.
[11] K.K., Jose, R., Sivadas, “Negative binomial Marshall-Olkin Rayleigh distribution and its applications", Economic Quality Control, Vol.30, Issue.2, pp.89–98, 2015.
[12] M.G, Badar, A.M., Priest, “Statistical aspects of fiber and bundle strength in hybrid composites", In: Hayashi T, Kawata K, Umekawa S (eds) Progress in Science and Engineering Composites, ICCM-IV, Tokyo, pp.1129–-1136, 1982.
[13] G.M, Cordeiro, E.M.M., Ortega, D.C.C, Cunha, “The Exponentiated Generalized Class of Distributions", Journal of Data Science, Vol.11, No.1, pp.1–27, 2013.
[14] A.J., Lemonte, W., Barreto-Souza, G.M., Cordeiro, “The Exponentiated Kumaraswamy Distribution and Its Log-Transform", Brazilian Journal of Probability and Statistics, Vol.27, No.1, pp.31–53, 2013.
[15] A., Alzaatreh, C., Lee, F., Famoye, “A New Method for Generating Families of Continuous Distributions", Metron, Vol.71, Issue.1, pp.63–79., 2013.
[16] M., Amini, S., MirMostafaee, J., Ahmadi, “Log-Gamma-Generated Families of Distributions", Statistics: A Journal of Theoretical and Applied Statistics, Vol.48, Issue.4, pp.913–932., 2013.
[17] S. Rajagopal, K. Vijayadevi, "A Hybrid Group Acceptance Sampling Plan for Lifetimes Based on Transmuted Rayleigh Distribution", International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.5, Issue.4, pp.77-94, 2018
[18] A., Wood, “Predicting software reliability", IEEE Transactions on Software Engineering, Vol.22, pp.69–77., 1996
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