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Everything about Generalized gamma distribution
Probability distribution
The generalized gamma distribution is a continuous probability distribution with two shape parameters. It is a generalization of the gamma distribution which has one shape parameter. Since many distributions commonly used for parametric models in survival analysis are special cases of the generalized gamma, it is sometimes used to determine which parametric model is appropriate for a given set of data. Another example is the half-normal distribution. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Generalized gamma distributionA 5-minute orientation
- Pick up a classic book: Sources in the development of mathematicsThe most-reprinted book on the subject
- Read the landmark paper: The Generalized Integer Gamma Distribution—A Basis for Distributions in Multivariate StatisticsCited 106 times
- Go sideways: Inverse-gamma distributionA closely related topic
- Go sideways: Beta prime distributionA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The Generalized Integer Gamma Distribution—A Basis for Distributions in Multivariate Statistics
Addendum to the Paper “The Generalized Integer Gamma Distribution—A Basis for Distributions in Multivariate Statistics”
A Generalized Integer Gamma Distribution as an Asymptotic Replacement for a Logbeta Distribution & Applications
đź“š Books worth reading
Sources in the development of mathematicsRanjan Roy · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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