نتایج جستجو برای: modified weibull distribution

تعداد نتایج: 848615  

K. Abdolahnezhad M. Teimouri Sh. Ghalandarayeshi

One of the most commonly used statistical models for characterizing the variations of tree diameter at breast height is Weibull distribution. The usual approach for estimating parameters of a statistical model is the maximum likelihood estimation (likelihood method). Usually, this works based on iterative algorithms such as Newton-Raphson. However, the efficiency of the likelihood method is not...

2013
Dionissios Hristopulos

The distribution of earthquake interevent times is a subject that has attracted much attention in the statistical physics literature [1-3]. A recent paper proposes that the distribution of earthquake interevent times follows from the the interplay of the crustal strength distribution and the loading function (stress versus time) of the Earth’s crust locally [4]. It was also shown that the Weibu...

Journal: :Mausam 2022

This article presents the aspects of modeling rainfall data using a modified version weibull distribution. model takes care those days reported with zero corresponding to dry (i.e., no rain day) during season (in life testing context this situation is called instantaneous failures). We propose distribution as suitable represent such situations by mixture singular at and two parameter derive Max...

H. Abd Ellah, Abd El-Baset A. Ahmad, Mohammad A.Fawzy,

In this paper, we derived recurrence relations for joint moment generating functions of nonadjacent generalized order statistics (GOS) of random samples drawn from doubly truncated class of continuous distributions. Recurrence relations for joint moments of nonadjacent GOS (ordinary order statistics (OOS) and k-upper records (k-RVs) as special cases) are obtained. Single and product moment gene...

Journal: :International Journal of Statistical Distributions and Applications 2019

Journal: :Hacettepe Journal of Mathematics and Statistics 2015

Journal: :Journal of Statistical Theory and Applications 2014

Journal: :International Journal of Statistical Distributions and Applications 2017

Journal: :International Research Journal on Advanced Science Hub 2021

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