A novel method for developing efficient probability distributions with applications to engineering and life science data

DOI10.1155/2021/4479270zbMath1477.60035OpenAlexW3194121977MaRDI QIDQ2666415

Yanyan Li

Publication date: 22 November 2021

Published in: Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2021/4479270

Mathematics Subject Classification ID

Probability distributions: general theory (60E05)

Cites Work

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• The generalized Cauchy family of distributions with applications
• A new method for generating families of continuous distributions
• On generating T-X family of distributions using quantile functions
• The gamma-normal distribution: properties and applications
• Families of distributions arising from the quantile of generalized lambda distribution
• Survey of developments in the theory of continuous skewed distributions
• KUMARASWAMY WEIBULL-GENERATED FAMILY OF DISTRIBUTIONS WITH APPLICATIONS
• A new generalized two-sided class of distributions with an emphasis on two-sided generalized normal distribution
• A new family of generalized distributions
• Exponentiated Weibull family for analyzing bathtub failure-rate data
• A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families
• Modeling failure time data by lehman alternatives
• BETA-NORMAL DISTRIBUTION AND ITS APPLICATIONS
• Alpha power Weibull distribution: Properties and applications
• A new muth generated family of distributions with applications
• The generalized odd half-Cauchy family of distributions: Properties and applications
• A new method for generating distributions with an application to exponential distribution
• Cumulative Frequency Functions
• The Kumaraswamy–Inverse Weibull Distribution
• Type II Half Logistic Family of Distributions with Applications
• On Families of Distributions with Shape Parameters

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