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dc.contributor.authorLamar, Bruce W.en_US
dc.date.accessioned2004-05-28T19:25:29Z
dc.date.available2004-05-28T19:25:29Z
dc.date.issued1978-03en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5152
dc.description.abstractThis report reviews classical experimental designs including single and multiple factor analysis of variance, analysis of covariance, and Latin squares designs. Assumptions used in the models are presented, and tests for violations of the assumptions are described. Examples illustrating primary designs and remarks discussing further model extensions and considerations are also included.en_US
dc.description.sponsorshipPrepared 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.en_US
dc.format.extent1746 bytes
dc.format.extent1674743 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherMassachusetts Institute of Technology, Operations Research Centeren_US
dc.relation.ispartofseriesOperations Research Center Working Paper;OR 073-78en_US
dc.titleWhat the Textbooks Say About the Design of Experienceen_US
dc.typeWorking Paperen_US


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