Using the EM Algorithm with Complete, but Scrambled, data.

In this paper the EM algorithm, which has been used successfully with censored and incomplete data sets, is adapted to the problem of scrambled data. The performance of the method is assayed using an artificially constructed data set. The relevance of the results for a real world labour market problem is explored.

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Year of publication:	1996
Authors:	Kalb, G.
Institutions:	Department of Econometrics and Business Statistics, Monash Business School
Subject:	EVALUATION \| STATISTICS

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Series:	Monash Econometrics and Business Statistics Working Papers.
Type of publication:	Book / Working Paper
Notes:	Number 5/96 30 pages
Classification:	C13 - Estimation ; C15 - Statistical Simulation Methods; Monte Carlo Methods ; C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005149045