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Everything about Generalized normal distribution
Probability distribution
The generalized normal distribution (GND) or generalized Gaussian distribution (GGD) is either of two parametric families of continuous probability distributions on the real line. Both families add a shape parameter to the normal distribution. To distinguish the two families, they are referred to below as "symmetric" and "asymmetric"; however, this is not a standard nomenclature. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Generalized normal distributionA 5-minute orientation
- Skim a recent paper: Multi-objective generalized normal distribution optimization: a novel algorithm for multi-objective problemsInfluential work since 2022
- Pick up a classic book: Level-Crossing Problems and Inverse Gaussian DistributionsThe most-reprinted book on the subject
- Read the landmark paper: A generalized normal distributionCited 419 times
- Go sideways: Generalized inverse Gaussian distributionA closely related topic
- Go sideways: Normal-inverse Gaussian distributionA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A generalized normal distribution
The beta generalized half-normal distribution
The Kumaraswamy Generalized Half-Normal Distribution for Skewed Positive Data
Multivariate Skew-Normal Generalized Hyperbolic distribution and its properties
An extension of the generalized half-normal distribution
On the characteristic function of the generalized normal distribution
Discriminating between the generalized Rayleigh and Log-normal distribution
A two-parameter generalized skew-normal distribution
🆕 Influential since 2022
Multi-objective generalized normal distribution optimization: a novel algorithm for multi-objective problems
Truss optimization with natural frequency constraints using generalized normal distribution optimization
A novel generalized normal distribution arithmetic optimization algorithm for global optimization and data clustering problems
Parameters extraction of photovoltaic models using enhanced generalized normal distribution optimization with neighborhood search
Application of the Generalized Normal Distribution Optimization Algorithm to the Optimal Selection of Conductors in Three-Phase Asymmetric Distribution Networks
đź“š Books worth reading
Level-Crossing Problems and Inverse Gaussian DistributionsVsevolod K. Malinovskii · 2021
Testing for normalityHenry C. Thode · 2002
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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