DocumentCode
3025469
Title
Maximum likelihood theory for a class of independently, but nonidentically distributed observations
Author
Fang-Kuo Sun ; Lee, Tae Sung
Author_Institution
The Analytic Sciences Corporation, Reading, Massachusetts
fYear
1979
fDate
10-12 Jan. 1979
Firstpage
737
Lastpage
739
Abstract
In this paper, maximum likelihood estimates of the mean and the covariance of a normal random variable, based on a set of independently, but nonidentically distributed observations, are discussed. An efficient algorithm for computing MLEs is introduced. The asymptotic properties such as strong consistency and asymptotic normality are examined.
Keywords
Equations; Jacobian matrices; Maximum likelihood estimation; Sun; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/CDC.1978.268023
Filename
4046210
Link To Document