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                                       Details for article 9 of 11 found articles
 
 
  On least squares estimation for categorical data
 
 
Title: On least squares estimation for categorical data
Author: Clickner, Robert P.
Appeared in: Communications in statistics
Paging: Volume 5 (1976) nr. 11 pages 1059-1064
Year: 1976
Contents: We consider a multinomial distribution in which the cell probabilities are known arbitrary functions of a vector parameter θ. It is desired to estimate θ by least squares. Three variations of the least squares approach are investigated, and each is found to be equivalent, in the very strong sense of being algebraically identical, to one of the following estimation procedures: maximum likelihood, minimum χ2 and minimum modified χ2. Two of these results also apply to the multiple hypergeometric distribution.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 9 of 11 found articles
 
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