Corrected Maximum Likelihood Estimations of the Lognormal Distribution Parameters
As a result of asymmetry in practical problems, the Lognormal distribution is more suitable for data modeling in biological and economic fields than the normal distribution, while biases of maximum likelihood estimators are regular of the order <inline-formula> <math display="inline&qu...
Main Authors: | Shuyi Wang, Wenhao Gui |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/12/6/968 |
Similar Items
-
Monte Carlo comparison of estimation methods for the two-parameter lognormal distribution
by: Pobočíková Ivana, et al.
Published: (2019-01-01) -
Confidence Interval Estimation for the Ratio of the Percentiles of Two Delta-Lognormal Distributions with Application to Rainfall Data
by: Warisa Thangjai, et al.
Published: (2023-03-01) -
A Lognormal Model for Insurance Claims Data
by: Daiane Aparecida Zuanetti, et al.
Published: (2006-06-01) -
Parameter Estimation of the Lognormal-Rician Channel Model Using Saddlepoint Approximation
by: Maoke Miao, et al.
Published: (2020-01-01) -
An Improvement in Maximum Likelihood Estimation of the Gompertz Distribution Parameters
by: Ali A. Al-Shomrani
Published: (2023-04-01)