A comparison of different parameter estimation methods for exponentially modified Gaussian distribution
DOI10.1007/S13370-022-00995-WzbMath1487.62019OpenAlexW4229043547MaRDI QIDQ2142286
Jehan Ara, Ismail Shah, Sajid Ali
Publication date: 27 May 2022
Published in: Afrika Matematika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13370-022-00995-w
maximum likelihood estimationroot mean squared errorAnderson-Darling methodCramér-von-Mises estimation methodexponentially modified Gaussian distributionweighted least squared estimation
Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The contribution of age structure to cell population responses to targeted therapeutics
- Different estimation procedures for the parameters of the extended exponential geometric distribution for medical data
- Comparison of estimation methods for the parameters of the weighted Lindley distribution
- Generalized Rayleigh distribution: different methods of estimations
- Likelihood of a model and information criteria
- Exponentially modified Gaussian (EMG) relevance to distributions related to cell proliferation and differentiation
- Exponentially modified peak functions in biomedical sciences and related disciplines
- Generalized exponential distribution: different method of estimations
- Microarray background correction: maximum likelihood estimation for the normal-exponential convolution
- The four-parameter kappa distribution
- Statistical properties and different methods of estimation of transmuted Rayleigh distribution
- Weighted exponential distribution: properties and different methods of estimation
- Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
- A Test of Goodness of Fit
This page was built for publication: A comparison of different parameter estimation methods for exponentially modified Gaussian distribution
