scholarly journals A Log-Dagum Weibull Distribution: Properties and Characterization

2021 ◽  
Vol 10 (5) ◽  
pp. 100
Author(s):  
Aneeqa Khadim ◽  
Aamir Saghir ◽  
Tassadaq Hussain ◽  
Mohammad Shakil ◽  
Mohammad Ahsanullah
Keyword(s):  
Weibull Distribution ◽  
Properties And Characterization

scholarly journals A log-Dagum Weibull Distribution: Properties and Characterization

2020 ◽  
Author(s):  
Aneeqa Khadim ◽  
Aamir Saghir ◽  
Tassaddaq Hussain
Keyword(s):  
Weibull Distribution ◽  
Real Data ◽  
Random Variable ◽  
Theory And Practice ◽  
Model Parameters ◽  
Data Sets ◽  
Probability Models ◽  
New Family ◽  
Properties And Characterization ◽  
Dagum Distribution

Developments of new probability models for data analysis are keen interest of importance for all fields. The log-Dagum distribution has a prominent role in the theory and practice of statistics. In this article, a new family of continuous distributions generated from a log Dagum random variable called the log-Dagum Weibull distribution is proposed. The key properties of the proposed distribution are derived. Its density function can be symmetrical, left-skewed, right-skewed and reversed-J shaped and can have increasing, decreasing, bathtub hazard rates shaped. The model parameters are estimated by the method of maximum likelihood and illustrate its importance by means of applications to real data sets.

Brownian motion with quadratic killing and some implications

1986 ◽  
Vol 23 (04) ◽  
pp. 893-903 ◽  
Author(s):  
Michael L. Wenocur
Keyword(s):  
Brownian Motion ◽  
Weibull Distribution ◽  
Special Function ◽  
Function Theory ◽  
Killing Rate

Brownian motion subject to a quadratic killing rate and its connection with the Weibull distribution is analyzed. The distribution obtained for the process killing time significantly generalizes the Weibull. The derivation involves the use of the Karhunen–Loève expansion for Brownian motion, special function theory, and the calculus of residues.

Some Statistical Properties of Exponentiated Weighted Weibull Distribution

2014 ◽  
Vol 2014 (2) ◽  
pp. 1-11
Author(s):  
Nofiu BAMUS ◽  
◽  
Adebayo BAMIDURO ◽  
Keyword(s):  
Weibull Distribution ◽  
Statistical Properties

Analyses of Continuous Snow Cover Duration and Its First and Last Days Using Weibull Distribution Method.

1998 ◽  
Vol 54 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Kazushige YAMADA ◽  
Tomoyoshi HIROTA ◽  
Ryuichi SHIROOKA
Keyword(s):  
Weibull Distribution ◽  
Snow Cover ◽  
Distribution Method ◽  
Snow Cover Duration

STRUCTURAL CONNECTIONS AND INTERCHANGEABILITY OF ASYMMETRIC TYPES OF THEORETICAL DISTRIBUTIONS

2020 ◽  
Vol 6 (8(77)) ◽  
pp. 13-17
Author(s):  
Azimkhan Kurmankozhayev ◽  
Elmira Seilbekovna Yesbergenova
Keyword(s):  
Weibull Distribution ◽  
Empirical Analysis ◽  
Gamma Distribution ◽  
Statistical Data ◽  
Distribution Patterns ◽  
Structural Relationships ◽  
Statistical Regularities ◽  
Structural Connections ◽  
Characteristic Features ◽  
Structural Connection

Presented the results of evaluation of structural connection, identity and interchangeability of main asymmetric types of theoretical distributions most often acceptable for assessing the distributions of various indicators in geology and technology. The method of empirical analysis and statistical inference was used with the involvement of nonparametric facts according to the distribution patterns. The analysis of the empirical results of the application of the lognormal, gamma distribution and the Weibull distribution with the involvement of extensive statistical data from literary and research sources is carried out. The characteristic features and statistical regularities of distributions inherent to them are revealed, estimated statistical conclusions are obtained, according to which structural relationships between the functions of the lognormal, gamma and Weibull distributions are revealed. The identity and authenticity of the development of probabilistic frequencies in their application have been established, the complex geometric "image" of asymmetry inherent to these types of distributions is generalized. Structural relationships and interchangeability of asymmetric types of distributions are recommended to increase the reliability and credibility of the estimated choice of distribution in conditions of uncertainty and insignificance of statistical data when solving problems associated with forecasts, technological and computer developments.

Sign in / Sign up

Export Citation Format

Share Document