dc.contributor.author | Bhatti, Ishaq | |
dc.date.accessioned | 2018-11-14T12:30:58Z | |
dc.date.available | 2018-11-14T12:30:58Z | |
dc.date.issued | 1997 | |
dc.identifier.issn | 0972-0863 | |
dc.identifier.uri | http://hdl.handle.net/10072/121120 | |
dc.description.abstract | If disturbance correlation arising from two-stage cluster sampling is ignored, it can lead to inefficient regression estimates and predictions as well as misleading inferences. This paper addresses the problem of testing for the intra-class correlation (block effects) in a two-stage clustered regression model. A point optimal invariant test is constructed to compute the power and the critical values at a 5% level of significance for various data sets. The comparative study demonstrates that the new test is uniformly most powerful invariant for a special case, when block size is half of the sample size. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.publisher | Pushpa Publishing House | |
dc.publisher.place | India | |
dc.publisher.uri | http://www.pphmj.com/journals/fjts.htm | |
dc.relation.ispartofpagefrom | 39 | |
dc.relation.ispartofpageto | 50 | |
dc.relation.ispartofissue | 5 | |
dc.relation.ispartofjournal | Far East Journal of Theoretical Statistics | |
dc.relation.ispartofvolume | 36 | |
dc.subject.fieldofresearch | Statistics | |
dc.subject.fieldofresearchcode | 0104 | |
dc.title | A UMP-Invariant Test for Testing Block Effects: An Example | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.faculty | An Unassigned Group, An Unassigned Department | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Bhatti, Ishaq | |