Title :
Estimation and Test of Parameters for Two 0-1 Populations with Partially Missing Data
Author_Institution :
Coll. of Math., Jilin Normal Univ., Jilin, China
Abstract :
In this paper, the estimation and test of parameters for two 0-1 populations with partially missing data are given firstly, then the asymptotic normality and the strong consistency of this estimation are proved. The limit distribution of the likelihood ratio statistic is obtained.
Keywords :
maximum likelihood estimation; statistical analysis; 0-1 population; asymptotic normality; likelihood ratio statistic; limit distribution; parameter estimation; parameter testing; partially missing data; Maximum likelihood estimation; Observers; Presses; Probability distribution; Statistical analysis; asymptotic normality; maximum likelihood estimation; missing data; strong consistency;
Conference_Titel :
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location :
Phuket Island
Print_ISBN :
978-1-61284-688-0
DOI :
10.1109/ICIC.2011.61
