NDLI: Point Estimation

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Point Estimation

Content Provider	Scilit
Author	Shimizu, Kunio
Copyright Year	2018
Description	J. Aitchison and J. A. C. Brown summarized early methods of estimating the mean and variance of a two-parameter lognormal distribution. These methods included the method of moments, quantiles, a graphical method, and Finney's uniformly minimum variance unbiased (UMVU) estimators. This chapter considers lognormal distributions which have their lefthand limit at the origin, nonzero thresholds. It shows that estimation in the univariate distribution, whereas generalizations to multivariate distributions and distributions with a nonzero probability mass at the origin. UMVU estimation of regression equations for the bivariate log-normal distribution was treated by M. D. Mostafa and M. W. Mahmoud. Numerical computation shows that maximum likelihood estimates should be practically used because they are easier to calculate than UMVU estimates. G. E. P. Box and G. M. Jenkins systematically discussed the forecasting and model specification of the autoregressive integrated moving average process. Book Name: Lognormal Distributions
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780203748664-2&type=chapterpdf
Ending Page	86
Page Count	60
Starting Page	27
DOI	10.1201/9780203748664-2
Language	English
Publisher	Informa UK Limited
Publisher Date	2018-05-02
Access Restriction	Open
Subject Keyword	Book Name: Lognormal Distributions Variance Nonzero Methods Included Umvu Estimation Lognormal Distributions
Content Type	Text
Resource Type	Chapter

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