The choice of a log-linear model using a Cp-type statistic
dc.contributor.author | Jolayemi, E. Tejumola | en_US |
dc.contributor.author | Brown, Morton B. | en_US |
dc.date.accessioned | 2006-04-07T18:25:06Z | |
dc.date.available | 2006-04-07T18:25:06Z | |
dc.date.issued | 1984-08 | en_US |
dc.identifier.citation | Jolayemi, E. Tejumola, Brown, Morton B. (1984/08)."The choice of a log-linear model using a Cp-type statistic." Computational Statistics & Data Analysis 2(2): 159-165. <http://hdl.handle.net/2027.42/24735> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V8V-45FCGT1-13/2/875f5e96b520daeea4dfb2b449f00320 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/24735 | |
dc.description.abstract | Most methods of selecting an appropriate log-linear model for categorical data are sensitive to the underlying distributional assumptions. However, there are many situations in which the assumption that the data are randomly chosen from an underlying Poisson, multinomial or product-multinomial distribution cannot be sustained. In these cases we propose a criterion to select among log-linear models that is an analogue of the Cp statistic for regression models and describe a method to estimate the denominator of this statistic. | en_US |
dc.format.extent | 739872 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | The choice of a log-linear model using a Cp-type statistic | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.contributor.affiliationother | Department of Mathematics, Ahmadu Bello University, Zaria, Nigeria | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/24735/1/0000157.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0167-9473(84)90003-3 | en_US |
dc.identifier.source | Computational Statistics & Data Analysis | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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