Markov Analysis of an Alternative to Pure Random Assignment

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5160

Full metadata record

DC Field	Value	Language
dc.creator	Bier, Vicki M.	-
dc.date	2004-05-28T19:25:49Z	-
dc.date	2004-05-28T19:25:49Z	-
dc.date	1979-07	-
dc.date.accessioned	2013-10-09T02:38:02Z	-
dc.date.available	2013-10-09T02:38:02Z	-
dc.date.issued	2013-10-09	-
dc.identifier	http://hdl.handle.net/1721.1/5160	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	There are many public policy settings in which random assignment of clients to experimental and control groups is not feasible. I will discuss one such case, and the alternative method of assignment which was actually used. The vulnerability of this method to intentional selection bias will be explored using Markov methods of analysis.	-
dc.description	Prepared under Grant Number 78NI-AX-0007 from the National Institute of Law Enforcement and Criminal Justice, Law Enforcement Assistance Administration, U.S. Department of Justice.	-
dc.format	1746 bytes	-
dc.format	1997049 bytes	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.publisher	Massachusetts Institute of Technology, Operations Research Center	-
dc.relation	Operations Research Center Working Paper;OR 090-79	-
dc.title	Markov Analysis of an Alternative to Pure Random Assignment	-
dc.type	Working Paper	-
Appears in Collections:	MIT Items

Files in This Item:

There are no files associated with this item.

DSpace JSPUI