On asymptotic convergence of the block-iterative Fisher scoring algorithm

2010 ◽  
Vol 80 (11-12) ◽  
pp. 922-925
Author(s):  
Malcolm Hudson ◽  
Jun Ma
Keyword(s):  
Asymptotic Convergence ◽  
Fisher Scoring ◽  
Scoring Algorithm ◽  
Fisher Scoring Algorithm

scholarly journals Gram–Schmidt–Fisher scoring algorithm for parameter orthogonalization in MLE

2016 ◽  
Vol 3 (1) ◽  
pp. 1159847
Author(s):  
John Kwagyan ◽  
Victor Apprey ◽  
George E. Bonney ◽  
Zudi Lu
Keyword(s):  
Fisher Scoring ◽  
Scoring Algorithm ◽  
Fisher Scoring Algorithm

scholarly journals Improving Estimation Accuracy in Non\-randomized Response Questioning Methods by Multiple Answers

2017 ◽  
Vol 6 (5) ◽  
pp. 100
Author(s):  
Heiko Groenitz
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Estimation Accuracy ◽  
Randomized Response ◽  
Sample Surveys ◽  
Fisher Scoring ◽  
Scoring Algorithm ◽  
Estimation Precision ◽  
Fisher Scoring Algorithm

When private or stigmatizing characteristics are included in sample surveys, direct questions result in low cooperation of the respondents. To increase cooperation, indirect questioning procedures have been established in the literature. Nonrandomized response methods are one group of such procedures and have attracted much attention in recent years. In this article, we consider four popular nonrandomized response schemes and present a possibility to improve the estimation precision of these schemes. The basic idea is to require multiple indirect answers from each respondent. We develop a Fisher scoring algorithm for the maximum likelihood estimation in the presented new schemes and show the better efficiency of the new schemes compared with the original designs.

scholarly journals Improving Estimation Accuracy in Nonrandomized Response Questioning Methods by Multiple Answers

2017 ◽  
Vol 6 (5) ◽  
pp. 101 ◽  
Author(s):  
Heiko Groenitz
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Estimation Accuracy ◽  
Sample Surveys ◽  
Fisher Scoring ◽  
Scoring Algorithm ◽  
Estimation Precision ◽  
Fisher Scoring Algorithm

When private or stigmatizing characteristics are included in sample surveys, direct questions result in low cooperation of the respondents. To increase cooperation, indirect questioning procedures have been established in the literature. Nonrandomized response methods are one group of such procedures and have attracted much attention in recent years. In this article, we consider four popular nonrandomized response schemes and present a possibility to improve the estimation precision of these schemes. The basic idea is to require multiple indirect answers from each respondent. We develop a Fisher scoring algorithm for the maximum likelihood estimation in the presented new schemes and show the better efficiency of the new schemes compared with the original designs.

Sign in / Sign up

Export Citation Format

Share Document