The Marshall-Olkin-Gompertz-G family of distributions: properties and applications
Volume 14, Issue 4, pp 250--267
http://dx.doi.org/10.22436/jnsa.014.04.05
Publication Date: January 13, 2021
Submission Date: October 08, 2020
Revision Date: October 29, 2020
Accteptance Date: December 02, 2020
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Authors
Fastel Chipepa
- Department of Mathematical Statistics, Botswana International University of Science and Technology, P. Bag 16, Palapye, Botswana.
- Department of Applied Mathematics and Statistics, Midlands State University, P. Bag 9055, Gweru, Zimbabwe.
Broderick Oluyede
- Department of Mathematical Statistics, Botswana International University of Science and Technology, P. Bag 16, Palapye, Botswana.
Abstract
We develop a new generalized family of the Gompertz-G distribution, namely, the Marshall-Olkin-Gompertz-G distribution. Statistical properties of the new proposed model are presented. Some special cases of the new family of distributions are presented. Maximum likelihood estimates of the model parameters are also determined. A simulation study was conducted to assess the performance of the maximum likelihood estimates. Applications to demonstrate the usefulness of the Marshall-Olkin-Gompertz-Weibull distribution to real data examples are provided.
Share and Cite
ISRP Style
Fastel Chipepa, Broderick Oluyede, The Marshall-Olkin-Gompertz-G family of distributions: properties and applications, Journal of Nonlinear Sciences and Applications, 14 (2021), no. 4, 250--267
AMA Style
Chipepa Fastel, Oluyede Broderick, The Marshall-Olkin-Gompertz-G family of distributions: properties and applications. J. Nonlinear Sci. Appl. (2021); 14(4):250--267
Chicago/Turabian Style
Chipepa, Fastel, Oluyede, Broderick. "The Marshall-Olkin-Gompertz-G family of distributions: properties and applications." Journal of Nonlinear Sciences and Applications, 14, no. 4 (2021): 250--267
Keywords
- Gompertz-G distribution
- Marshall-Olkin-G distribution
- maximum likelihood estimation
MSC
References
-
[1]
M. Alizadeh, L. Benkhelifa, M. Rasekhi, B. Hosseini, The odd log-logistic generalized Gompertz distribution: Properties, applications and different methods of estimation, Commun. Math. Stat., 8 (2020), 295--317
-
[2]
M. Alizadeh, G. M. Cordeiro, L. G. Bastos Pinho, I. Ghosh, The Gompertz-G family of distributions, J. Stat. Theory Pract., 11 (2017), 179--207
-
[3]
M. Alizadeh, S. Tahmasebi, M. R. Kazemi, H. S. A. Nejad, G. H. G. Hamedani, The odd log-logistic Gompertz lifetime distribution: Properties and applications, Studia Sci. Math. Hungar., 56 (2019), 55--80
-
[4]
W. Barreto-Souza, H. S. Bakouch, A New Lifetime Model with Decreasing Failure Rate, Statistics, 47 (2013), 465--476
-
[5]
W. Barreto-Souza, A. J. Lemonte, G. M. Cordeiro, General results for the Marshall and Olkin’s family of distributions, An. Acad. Brasil. Cienc., 85 (2013), 3--21
-
[6]
M. Bourguignon, R. B. Silva, G. M. Cordeiro, The Weibull-G family of probability distributions, J. Data Sci., 12 (2014), 53--68
-
[7]
J. M. Chambers, W. S. Cleveland, B. Kleiner, P. A. Tukey, Graphical Methods of Data Analysis, Inter. Bio. Soc., 40 (1984), 567--568
-
[8]
F. Chipepa, B. Oluyede, B. Makubate, The Odd Generalized Half-Logistic Weibull-G Family of Distributions: Properties and Applications, Journal of Statistical Modelling: Theory and Applications, 2020 (2020), 1--25
-
[9]
F. Chipepa, B. Oluyede, B. Makubate, A. Fagbamigbe, The Beta Odd Lindley-G Family of Distributions with Applications, J. Probab. Stat. Sci., 17 (2019), 51--83
-
[10]
F. Chipepa, B. Oluyede, B. Makubate, A New Generalized Family of Odd Lindley-G Distribution with application, Int. J. Stat. Probab., 8 (2019), 23 pages
-
[11]
F. Chipepa, B. Oluyede, D. Wanduku, The Exponentiated Half Logistic Odd Weibull-Topp-Leone-G Family of Distributions: Model, Properties and Applications, Journal of Statistical Modelling: Theory and Applications, 2020 (2020), In Press
-
[12]
G. M. Cordeiro, M. Alizadeh, P. R. D. Marinho, The type I half-logistic family of distributions, J. Stat. Comput. Simul., 86 (2016), 707--728
-
[13]
G. M. Cordeiro, M. Alizadeh, A. D. C. Nascimento, M. Rasekhi, The Exponentiated Gompertz Generated Family of Distributions: Properties and Applications, Chil. J. Stat., 7 (2016), 29--50
-
[14]
G. M. Cordeiro, M. de Castro, A New Family of Generalized Distributions, J. Stat. Comput. Simul., 81 (2011), 883--898
-
[15]
G. M. Cordeiro, E. M. M. Ortega, S. Nadarajaah, The Kumaraswamy Weibull Distribution with Application to Failure Data, J. Franklin Inst., 347 (2010), 1399--1429
-
[16]
A. El-Gohary, A. Alshamrani, A. N. Al-Otaibi, The Generalized Gompertz Distribution, Appl. Math. Model., 37 (2013), 13--24
-
[17]
N. Eugene, C. Lee, F. Famoye, Beta-Normal Distribution and Its Applications, Comm. Statist. Theory Methods, 31 (2002), 497--512
-
[18]
J. U. Gleaton, J. D. Lynch, Properties of Generalized Log-Logistic Families of Lifetime Distributions, JPSS J. Probab. Stat. Sci., 4 (2006), 51--64
-
[19]
B. Gompertz, On the Nature of the Function Expressive of the Law of Human Mortality and on the New Mode of Determining the Value of Life Contingencies, Philos. Trans. Roy. Stat. Soc., 115 (1825), 413--580
-
[20]
W. Gui, Marshall-Olkin Extended Log-logistic Distribution and Its Application in Minification Processes, Appl. Math. Sci., 7 (2013), 3947--3961
-
[21]
R. D. Gupta, D. Kundu, Generalized Exponential Distributions, Aust. N. Z. J. Stat., 41 (1999), 173--188
-
[22]
M. R. Gurvich, A. T. DiBenedetto, S. V. Ranade, A New Statistical Distribution for Characterizing the Random Strength of Brittle Materials, J. Mater. Sci., 32 (1997), 2559--2564
-
[23]
A. A. Jafari, S. Tahmasebi, M. Alizadeh, The beta-Gompertz distribution, Rev. Colombiana Estadıst., 37 (2014), 141--158
-
[24]
H. Karamikabir, M. Afshari, M. Alizadeh, G. G. Hamedani, A new extended generalized Gompertz distribution with statistical properties and simulations, Comm. Statist. Theory Methods, 2019 (2019), 1--29
-
[25]
M. C. Korkmaz, H. M. Yousof, G. G. Hamedani, The Exponential Lindley Odd Log-Logistic-G family: Properties, Characterizations and Applications, J. Stat. Theory Appl., 17 (2018), 554--571
-
[26]
A. W. Marshall, I. Olkin, A New Method for Adding a Parameter to a Family of Distributions with Applications to the Exponential and Weibull Families, Biometrika, 84 (1997), 641--652
-
[27]
R. M. Pakungwati, Y. Widyaningsih, D. Lestari, Marshall-Olkin Extended Inverse Weibull Distribution and Its Application, J. Phys.: Conf. Ser., 1108 (2018), 7 pages
-
[28]
R. C. Team, R: a Language and Environment for Statistical Computing, , (2013)
-
[29]
A. Renyi, On Measures of Entropy and Information, Univ. California Press, Berkeley, Calif., 1960 (1960), 547--561
-
[30]
M. M. Ristic, N. Balakrishnan, The Gamma Exponentiated Exponential Distribution, J. Stat. Comput. Simul., 82 (2012), 1191--1206
-
[31]
M. Shaked, J. G. Shanthikumar, Stochastic Orders, Springer, New York (2007)
-
[32]
C. E. Shannon, Prediction and Entropy of Printed English, Bell Syst. Tech. J., 30 (1951), 50--64
-
[33]
R. L. Smith, J. C. Naylor, A Comparison of Maximum Likelihood and Bayesian Estimators for the Three-Parameter Weibull Distribution, Appl. Statist., 36 (1967), 358--369
-
[34]
H. Torabi, N. M. Hedesh, The Gamma-Uniform Distribution and Its Applications, Kybernetika, 48 (2012), 16--30
-
[35]
K. Xu, M. Xie, L. C. Tang, S. L. Ho, Application of Neural Networks in Forecasting Engine Systems reliability, Appl. Soft. Comput., 2 (2003), 255--268
-
[36]
K. Zografos, N. Balakrishnan, On Families of Beta- and Generalized Gamma-Generated Distributions and Associated Inference, Stat. Methodol., 6 (2009), 344--362