Zobrazeno 1 - 10
of 57
pro vyhledávání: '"TL-Moments"'
Autor:
Nur Amalina Mat Jan Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani
Publikováno v:
Geospatial Health, Vol 18, Iss 2 (2023)
The occurrence of floods has the potential to escalate the transmission of infectious diseases. To enhance our comprehension of the health impacts of flooding and facilitate effective planning for mitigation strategies, it is necessary to explore the
Externí odkaz:
https://doaj.org/article/ec3a46682bcd4bea8a5d0be1f74081df
Publikováno v:
Revstat Statistical Journal, Vol 20, Iss 5 (2023)
Correct identification of a probability distribution is crucial in many areas of parametric statistics, inappropriate choice of the model can result in misleading or even incorrect decisions. In the text, we study the performance of robust characteri
Externí odkaz:
https://doaj.org/article/47c2981c352844efa49f3927eeceb222
Publikováno v:
AIMS Mathematics, Vol 6, Iss 9, Pp 10222-10252 (2021)
In this paper, a three-parameter bounded unit distribution with a flexible hazard rate called the unit generalized log Burr XII (UGLBXII) distribution is derived. To show the importance of the proposed distribution, we establish some of its mathemati
Externí odkaz:
https://doaj.org/article/a5b863435c7342ffa7915fc0cdd92954
Publikováno v:
Revista Colombiana de Estadística, Vol 40, Iss 1, Pp 1-27 (2017)
The Singh-Maddala distribution is very popular to analyze the data on income, expenditure, actuarial, environmental, and reliability related studies. To enhance its scope and application, we propose four parameters transmuted Singh-Maddala distributi
Externí odkaz:
https://doaj.org/article/1db2eaea4667432097120867cfb83288
Autor:
Diana Bílková
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 94, Iss 2, Pp 77-94 (2014)
Moments and cumulants are commonly used to characterize the probability distribution or observed data set. The use of the moment method of parameter estimation is also common in the construction of an appropriate parametric distribution for a certain
Externí odkaz:
https://doaj.org/article/9810c39347cc4668ab5fb4914cb81ad8
Autor:
Munir Ahmad, Mustafa Ç. Korkmaz, Lahore Pakistan Economics, G. G. Hamedani, Azeem Ali, Fiaz Ahmad Bhatti
Publikováno v:
AIMS Mathematics, Vol 6, Iss 9, Pp 10222-10252 (2021)
In this paper, a three-parameter bounded unit distribution with a flexible hazard rate called the unit generalized log Burr XII (UGLBXII) distribution is derived. To show the importance of the proposed distribution, we establish some of its mathemati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06c1e4c6d6dab9236ae24a57ffe071d
https://www.aimspress.com/article/doi/10.3934/math.2021592?viewType=HTML
https://www.aimspress.com/article/doi/10.3934/math.2021592?viewType=HTML
Autor:
Noura A.T. Abu El-Magd
Publikováno v:
Journal of Advanced Research, Vol 1, Iss 4, Pp 351-359 (2010)
TL-moments and LQ-moments of the exponentiated generalized extreme value distribution (EGEV) will be obtained and used to estimate the unknown parameters of the EGEV distribution. Many special cases may be obtained such as the L-moments, LH-moments a
Externí odkaz:
https://doaj.org/article/1ba8e71b385e40dab22625a282de0347
Publikováno v:
Mathematical and Computational Applications, Vol 23, Iss 3, p 47 (2018)
This paper aims to provide an adaptation of the trimmed L (TL)-moments method to censored data. The present study concentrates on Type-I censored data. The idea of using TL-moments with censored data may seem conflicting. However, our perspective is
Externí odkaz:
https://doaj.org/article/97545bdf125e4769ab1912ec9b9f015f
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Akademický článek
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