محمد سويلم السيد حامد
مدرس
A New Transmuted Additive Weibull Distribution: Based On A New Method For Adding A Parameter To A Family Of Distributions
International Journal of Applied Mathematical Sciences • 2020
معلومات البحث
المؤلفون
Mohamed S. Hamed, et
الكلمات المفتاحية
transmutation; survival function; exponentiated exponential; order
statistics; maximum likelihood estimation.
المجلة العلمية
International Journal of Applied Mathematical Sciences
الناشر
Research India Publications
المجلد
8
العدد
1
الصفحات
31-54
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
This paper introduces a new generalization of the transmuted additive Weibull
distribution by Elbatal and Aryal [10], based on a new family of lifetime distribution.
We refer to the new distribution as a new transmuted additive Weibull (NTAW)
distribution. The new model contains some of lifetime distributions as special cases
such as the transmuted additive Weibull, exponentiated modified Weibull,
exponentiated Weibull, exponentiated exponential, transmuted Weibull, Rayleigh,
linear failure rate and exponential distributions, among others. The properties of the
new model are discussed and the maximum likelihood estimation is used to evaluate
the parameters. Explicit expressions are derived for the moments and examine the
order statistics. An application to real data set is finally presented for illustration.
This paper introduces a new generalization of the transmuted additive Weibull
distribution by Elbatal and Aryal [10], based on a new family of lifetime distribution.
We refer to the new distribution as a new transmuted additive Weibull (NTAW)
distribution. The new model contains some of lifetime distributions as special cases
such as the transmuted additive Weibull, exponentiated modified Weibull,
exponentiated Weibull, exponentiated exponential, transmuted Weibull, Rayleigh,
linear failure rate and exponential distributions, among others. The properties of the
new model are discussed and the maximum likelihood estimation is used to evaluate
the parameters. Explicit expressions are derived for the moments and examine the
order statistics. An application to real data set is finally presented for illustration.
distribution by Elbatal and Aryal [10], based on a new family of lifetime distribution.
We refer to the new distribution as a new transmuted additive Weibull (NTAW)
distribution. The new model contains some of lifetime distributions as special cases
such as the transmuted additive Weibull, exponentiated modified Weibull,
exponentiated Weibull, exponentiated exponential, transmuted Weibull, Rayleigh,
linear failure rate and exponential distributions, among others. The properties of the
new model are discussed and the maximum likelihood estimation is used to evaluate
the parameters. Explicit expressions are derived for the moments and examine the
order statistics. An application to real data set is finally presented for illustration.
This paper introduces a new generalization of the transmuted additive Weibull
distribution by Elbatal and Aryal [10], based on a new family of lifetime distribution.
We refer to the new distribution as a new transmuted additive Weibull (NTAW)
distribution. The new model contains some of lifetime distributions as special cases
such as the transmuted additive Weibull, exponentiated modified Weibull,
exponentiated Weibull, exponentiated exponential, transmuted Weibull, Rayleigh,
linear failure rate and exponential distributions, among others. The properties of the
new model are discussed and the maximum likelihood estimation is used to evaluate
the parameters. Explicit expressions are derived for the moments and examine the
order statistics. An application to real data set is finally presented for illustration.
