G Families of Probability Distributions : Theory and Practices

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G Families of Probability Distributions : Theory and Practices

  • 言語:ENG
  • ISBN:9781032140681
  • eISBN:9781000860412

ファイル: /

Description

Statistical distributions are essential tools to model the characteristics of datasets, such as right or left skewness, bi-modality or multi-modality observed in different applied sciences, such as engineering, medicine, and finance. The well-known distributions like normal, Weibull, gamma and Lindley are extensively used because of their simple forms and identifiability properties. In the last decade, researchers have focused on the more complex and flexible distributions, referred to as Generalized or simply G families of probability distributions, to increase the modelling capability of these distributions by adding one or more shape parameters.

The main aim of this edited book is to present new contributions by researchers in the field of G families of probability distributions. The book will help researchers to:

  • Develop new univariate continuous and discrete G families of probability distributions.
  • Develop new bivariate continuous and discrete G families of probability distributions.
  • Derive beneficial mathematical properties such as ordinary and incomplete moments, moment generating functions, residual life and reversed residual life functions, order statistics, quantile spread ordering and entropies, and some bivariate and multivariate extensions of the new and existing models using a simple-type copula.

Table of Contents

A New Compound G Family of Distributions: Properties, Copulas, Characterizations, Real Data Applications with Different Methods of Estimation

M. Masoom Ali, Nadeem Shafique Butt, G.G. Hamedani, Saralees Nadarajah, Haitham M. Yousof, Mohamed Ibrahim

A Novel Family of Continuous Distributions: Properties, Characterizations, Statistical Modeling and Different Estimation Methods

Haitham M. Yousof, M. Masoom Ali, Gauss M. Cordeiro, G.G. Hamedani and Mohamed Ibrahim

On the use of Copulas to Construct Univariate Generalized Families of Continuous Distributions

Christophe Chesneau and Haitham M. Yousof

A Family of Continuous Probability Distributions: Theory, Characterizations, Properties and Different Copulas

Mohammad Mehdi Saber, G.G. Hamedani, Haitham M. Yousof, Nadeem Shafique Butt, Basma Ahmed and Mohamed Ibrahim

New Odd Log-Logistic Family of Distributions: Properties, Regression Models and Applications

Emrah Altun, MoradAlizadeh, GamzeOzel and Haitham M. Yousof

On the Family of Generalized Topp-Leone Arcsin Distributions

Vikas Kumar Sharma, Komal Shekhawat and Sanjay Kumar Singh

The Truncated Modified Lindley Generated Family of Distributions

Lishamol Tomy, Christophe Chesneau and Jiju Gillariose

An extension of the Weibull distribution via Alpha logarithmic G family with Associated Quantile Regression Modeling and Applications

Yunus Akdoğan, Kadir Karakaya, Mustafa Ç. Korkmaz, Fatih Şahin, Aşır Genç

The Topp-Leone-G Power Series Distribution: Its Properties and Applications

Laba Handique, Subrata Chakraborty and M. Masoom Ali

Exponentiated Generalized General Class of Inverted Distributions: Estimation and Prediction

Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Asmaa M. Abd AL-Fattah and Rabab E. Abd EL-Kader

A New Class of Discrete Distribution Arising as an Analogue of Gamma-Lomax Distribution: Properties and Applications

Indranil Ghosh, Ayman Alzaatreh, G.G. Hamedani

New Compounding Lifetime Distributions with Application to Hard Drive Reliability

A. Asgharzadeh, Hassan S. Bakouch, L. Esmaeili, S. Nadarajah

Comparing the Performance of G-Family Probability Distribution for Modeling Rainfall Data

Md. Mostafizur Rahman, Md. Abdul Khalek and M. Sayedur Rahman

Record-Based Transmuted Kumaraswamy Generalized Family of Distributions

Qazi J. Azhad, Mohd. Arshad, Bhagwati Devi, Nancy Khandelwal, and Irfan Ali

Finding an Efficient Distribution to Analyze Lifetime Data through Simulation Study

Anamul Haque Sajib, Trishna Saha and M Sayedur Rahman

Exponentiated Muth Distribution: Properties and Applications

R. Maya, M.R. Irshad, Anuresha Krishna

Exponentiated Discrete Modified Lindley Distribution and its Applications in Healthcare Sector

Lishamol Tomy, Veena G and Christophe Chesneau

Length Biased Weighted New Quasi Lindley Distribution: Statistical Properties and Applications

Aafaq A. Rather

A New Alpha Power Transformed Weibull Distribution: Properties and Applications

Ashok Kumar Pathak, Mohd. Arshad, Sanjeev Bakshic and Mukti Khetan

An Extension of Topp-Leone Distribution with Increasing, Decreasing and Bathtub Hazard Functions

Unnati Nigam and Arun Kaushik

Goodness of Fit Test in Instrumental Variables Models

Shalabh and Subhra Sankar Dhar

Probability Distribution Analysis for Rainfall Scenarios – A Case Study

Md. Abdul Khalek, Md. Mostafizur Rahaman, Md. Kamruzzaman, Md. Mesbahul Alam and M. Sayedur Rahman

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