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Bivariate discrete Nadarajah and Haghighi distribution: Properties and different methods of estimation
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The exponential distribution is commonly used to model different phenomena in
statistics and reliability engineering. A new extension of exponential
distribution known as the Nadarajah and Haghighi [An extension of the
exponential distribution, Statistics: A Journal of Theoretical and Applied
Statistics 45 (2011) 543-558.] distribution was introduced in the literature
to accommodate the inflation of zero in the data. In practice, however,
discrete data are easy to collect as compared to continuous data. Discrete
bivariate distributions play important roles in modeling bivariate lifetime
count data. Thus focusing on the utility of discrete data, this study
presents a new bivariate discrete Nadarajah and Haghighi distribution. We
discuss some basic properties of the proposed distribution and study seven
different methods of estimation for the unknown parameters to assess the
performance of the proposed bivariate discrete model. Two data sets are also
analyzed to demonstrate how the proposed model may work in practice. Results
show that the proposed model is very flexible and performs better than some
of the existing models.
Title: Bivariate discrete Nadarajah and Haghighi distribution: Properties and different methods of estimation
Description:
The exponential distribution is commonly used to model different phenomena in
statistics and reliability engineering.
A new extension of exponential
distribution known as the Nadarajah and Haghighi [An extension of the
exponential distribution, Statistics: A Journal of Theoretical and Applied
Statistics 45 (2011) 543-558.
] distribution was introduced in the literature
to accommodate the inflation of zero in the data.
In practice, however,
discrete data are easy to collect as compared to continuous data.
Discrete
bivariate distributions play important roles in modeling bivariate lifetime
count data.
Thus focusing on the utility of discrete data, this study
presents a new bivariate discrete Nadarajah and Haghighi distribution.
We
discuss some basic properties of the proposed distribution and study seven
different methods of estimation for the unknown parameters to assess the
performance of the proposed bivariate discrete model.
Two data sets are also
analyzed to demonstrate how the proposed model may work in practice.
Results
show that the proposed model is very flexible and performs better than some
of the existing models.
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