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Annals of Data Science
Published in:

21-06-2021

A Class of Bivariate Modified Weighted Distributions: Properties and Applications

Author: Hiba Zeyada Muhammed

Published in: Annals of Data Science | Issue 4/2023

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Abstract

In this paper, new bivariate weighted distributions are introduced based on Marshall and Olkin concept, different properties of these distributions are discussed. Moreover, the joint pdf, joint survival function, joint cdf, joint hazard function, product moments, marginal conditional density, and moment generating function are obtained explicitly in compact forms. Furthermore, it is shown that the new bivariate weighted distributions are obtained from the Marshall and Olkin survival copula, and a tail dependence measure is discussed. Explicit Bayesian estimators are obtained for the unknown parameters of these models and MLE are also discussed. Three data sets have been re-analyzed for illustrative purposes. Some simulations to see the performances of the estimators are performed. Absolutely continuous bivariate versions of these distributions are obtained and some of their properties are discussed.
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Literature
1.
Fisher RA (1934) The effects of methods of ascertainment upon the estimation of frequencies. Ann Eugen 6:13–25CrossRef
2.
Rao CR (1965) On discrete distributions arising out of methods of ascertainment. In: Patil GP (ed) classical and contagious discrete distribution. Pergamon Press and Statistical Publishing Society, Calcutta, pp 320–332
3.
Aleem M, Sufyan M, Khan NS (2013) A class of modified weighted Weibull distribution and its properties. Am Rev Math Stat 1:29–37
4.
Marshall AW, Olkin I (1967) A multivariate exponential distribution. J Am Stat Assoc 62:30–44CrossRef
5.
Dey S, Sharma VK, Mesfioui M (2017) A new extension of weibull distribution with application to lifetime data. Ann Data Sci 4:31–61CrossRef
6.
Shi Y, Tian YJ, Kou G, Peng Y, Li JP (2011) Optimization based data mining: theory and applications. Springer, BerlinCrossRef
7.
Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York
8.
Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Ann Data Sci 4(2):149–178CrossRef
9.
Sklar A (1959) Fonctions de repartition `a n-dimensions et leurs marges. Publications de l’Institut Statistique de l’Université de Paris 8:229–231
10.
Block H, Basu AP (1974) A continuous bivariate exponential extension. J Am Stat Assoc 69:1031–1037
11.
Kundu D, Gupta AK (2013) Bayes estimation for the marshal: olkin bivariate weibull distribution. Comput Stat Data Anal 57:271–281CrossRef
12.
Meintanis SG (2007) Test of fit for Marshall-Olkin distributions with applications. J Stat Plann Inference 137:3954–3963CrossRef
13.
Shoaee S (2020) On a new class of bivariate survival distributions based on the model of dependent lives and its generalization. Appl Appl Math Int J 15(2):801–829
Metadata
Title
A Class of Bivariate Modified Weighted Distributions: Properties and Applications
Author
Hiba Zeyada Muhammed
Publication date
21-06-2021
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 4/2023
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-021-00346-9

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