Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sh. A. M. Mubarak"'
Autor:
Ehab M. Almetwally, Mohamed A. H. Sabry, Randa Alharbi, Dalia Alnagar, Sh. A. M. Mubarak, E. H. Hafez
Publikováno v:
Complexity, Vol 2021 (2021)
This paper introduces the new novel four-parameter Weibull distribution named as the Marshall–Olkin alpha power Weibull (MOAPW) distribution. Some statistical properties of the distribution are examined. Based on Type-I censored and Type-II censore
Externí odkaz:
https://doaj.org/article/eb005d6f37d9485fa85dd6d2f347ae83
Publikováno v:
Symmetry, Vol 12, Iss 12, p 2080 (2020)
Saving money and time are very important in any research project, so we must find a way to decrease the time of the experiment. This method is called the accelerated life tests (ALT) under censored samples, which is a very efficient method to reduce
Externí odkaz:
https://doaj.org/article/045a01a47c3446aaa705c27b4d7c8a81
Publikováno v:
Journal of Statistics Applications & Probability. 10:531-540
Autor:
Mohamed A. H. Sabry, Dalia Alnagar, Ehab M. Almetwally, Randa Alharbi, Sh. A. M. Mubarak, E. H. Hafez
Publikováno v:
Complexity, Vol 2021 (2021)
This paper introduces the new novel four-parameter Weibull distribution named as the Marshall–Olkin alpha power Weibull (MOAPW) distribution. Some statistical properties of the distribution are examined. Based on Type-I censored and Type-II censore
Publikováno v:
Journal of Statistics Applications & Probability. 10:35-44
Publikováno v:
Complexity, Vol 2021 (2021)
Modelling data in applied areas particularly in reliability engineering is a prominent research topic. Statistical models play a vital role in modelling reliability data and are useful for further decision-making policies. In this paper, we study a n
Publikováno v:
Symmetry, Vol 12, Iss 2080, p 2080 (2020)
Symmetry
Volume 12
Issue 12
Symmetry
Volume 12
Issue 12
Saving money and time are very important in any research project, so we must find a way to decrease the time of the experiment. This method is called the accelerated life tests (ALT) under censored samples, which is a very efficient method to reduce