Simulation of thep-generalized Gaussian distribution
DOI10.1080/00949655.2011.631187zbMath1431.62017OpenAlexW2091319077MaRDI QIDQ2862361
Wolf-Dieter Richter, Steve Kalke
Publication date: 15 November 2013
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2011.631187
simulationstopping timeMonte Carlo simulationrandom numbersgoodness of fitpower exponential distribution\(p\)-generalized Gaussian distribution\(p\)-generalized polar method\(p\)-generalized rejecting polar method\(p\)-generalized uniform distribution on the \(p\)-circleexponential error distributiongeneralized arc-length measureMonty Python methodtail algorithmZiggurat method
Computational methods for problems pertaining to statistics (62-08) Exact distribution theory in statistics (62E15) Monte Carlo methods (65C05) Random number generation in numerical analysis (65C10)
Related Items (14)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Continuous \(l_{n,p}\)-symmetric distributions
- Respiratory parameter estimation in non-invasive ventilation based on generalized Gaussian noise models
- A one-table method for sampling from continuous and discrete distributions
- On the characteristic function of the generalized normal distribution
- Generalized spherical and simplicial coordinates
- Erzeugung von betaverteilten und gammaverteilten Zufallszahlen
- A Note on the Generation of Random Normal Deviates
- Simulation techniques for generalized Gaussian densities
- A Fast, Easily Implemented Method for Sampling from Decreasing or Symmetric Unimodal Density Functions
- The Monty Python method for generating random variables
- A Convenient Method for Generating Normal Variables
This page was built for publication: Simulation of thep-generalized Gaussian distribution