Computational techniques for the analysis of the general linear model

Digitized by Kansas Correctional Industries

Bibliographic Details
Main Author:	Bentz, Carol Ann
Language:	en_US
Published:	Kansas State University 2011
Subjects:	Statistics > Computer programming
Online Access:	http://hdl.handle.net/2097/8196

id	ndltd-KSU-oai-krex.k-state.edu-2097-8196
record_format	oai_dc
spelling	ndltd-KSU-oai-krex.k-state.edu-2097-81962019-03-20T15:43:34Z Computational techniques for the analysis of the general linear model Bentz, Carol Ann Statistics--Computer programming Digitized by Kansas Correctional Industries 2011-04-01T16:59:57Z 2011-04-01T16:59:57Z 1973 1973 2010 Thesis http://hdl.handle.net/2097/8196 en_US This volume was digitized and made accessible online due to deterioration of the original print copy. If you are the author of this work and would like to have online access removed, please contact the Library Administration Office, 785-532-7400, library@k-state.edu. Kansas State University
collection	NDLTD
language	en_US
sources	NDLTD
topic	Statistics--Computer programming
spellingShingle	Statistics--Computer programming Bentz, Carol Ann Computational techniques for the analysis of the general linear model
description	Digitized by Kansas Correctional Industries
author	Bentz, Carol Ann
author_facet	Bentz, Carol Ann
author_sort	Bentz, Carol Ann
title	Computational techniques for the analysis of the general linear model
title_short	Computational techniques for the analysis of the general linear model
title_full	Computational techniques for the analysis of the general linear model
title_fullStr	Computational techniques for the analysis of the general linear model
title_full_unstemmed	Computational techniques for the analysis of the general linear model
title_sort	computational techniques for the analysis of the general linear model
publisher	Kansas State University
publishDate	2011
url	http://hdl.handle.net/2097/8196
work_keys_str_mv	AT bentzcarolann computationaltechniquesfortheanalysisofthegenerallinearmodel
_version_	1719004301851885568

Computational techniques for the analysis of the general linear model

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