DocumentCode
3009498
Title
Application of parameter estimation and hypothesis test for a generalized gamma distribution
Author
Nicholson, D.L.
Author_Institution
United States Naval Academy, Annapolis, Maryland
fYear
1975
fDate
10-12 Dec. 1975
Firstpage
321
Lastpage
326
Abstract
This paper develops maximum likelihood (ML) estimation procedures for the parameters of a generalized Gamma probability density function. In addition, the likelihood ratio conditioned on the ML estimates of the process parameters is given. A special case arising in the analysis of carbon monoxide pollution data is discussed in detail and the performance of the binary hypothesis test functioning as a pollution forecasting algorithm is reported.
Keywords
Algorithm design and analysis; Carbon dioxide; Equations; Maximum likelihood estimation; Parameter estimation; Pollution; Probability density function; State estimation; Testing; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 14th Symposium on Adaptive Processes, 1975 IEEE Conference on
Conference_Location
Houston, TX, USA
Type
conf
DOI
10.1109/CDC.1975.270700
Filename
4045427
Link To Document