Modeling Lifetime Data with the Odd Generalized Exponentiated Inverse Lomax Distribution
نویسندگان
چکیده
منابع مشابه
Exponentiated Generalized Inverse Weibull Distribution
The inverse Weibull distribution can be readily applied to a wide range of situations including applications in medicine, reliability and ecology. In this article we introduce a new model of generalized inverse Weibull distribution referred to as the Exponentiated generalized inverse distribution. We provide a comprehensive mathematical treatment of this distribution. We derive the moment gener...
متن کاملThe Exponentiated Generalized NH Distribution
Nadarajah and Haghighi (2011) introduced a new generalization of the exponential distribution as an alternative to the gamma, Weibull and exponeniated exponential distributions. In this paper, a generalization of the Nadarajah– Haghighi (NH) distribution namely exponentiated generalized NH distribution is introduced and discussed. The properties and applications of proposed model to real dat...
متن کاملThe Exponentiated Lomax – Rayleigh (E-LR) Distribution, Properties and Applications
In this paper a new four-parameter lifetime distribution named “the exponentiated Lomax – Rayleigh (E-LR) distribution” has been suggested that it has an increasing hazard rate for modeling lifetime data. The Lomax distribution has applications in economics, actuarial modelling, reliability modeling, lifetime and queuing problems and biological sciences. In this paper Firstly, the mathematical ...
متن کاملEstimation of the Reliability Function for Four-Parameter Exponentiated Generalized Lomax distribution
Problem Statement: The four-parameter exponentiated generalized Lomax distribution has been introduced. The uniformly minimum variance unbiased and maximum likelihood estimation methods are the way to estimate the parameters of the distribution. In this study we explore and compare the performance of the uniformly minimum variance unbiased and maximum likelihood estimators of the reliability fu...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Trends on Biostatistics and Biometrics
سال: 2019
ISSN: 2644-1381
DOI: 10.32474/ctbb.2019.01.000112