ANALYSIS OF AUTO CORRELATED DATA

Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/16613

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DC Field	Value	Language
dc.contributor.author	Okorie, C. E.	-
dc.contributor.author	Abubakar, U. Y.	-
dc.contributor.author	Adetutu, O. M.	-
dc.date.accessioned	2023-01-04T11:42:20Z	-
dc.date.available	2023-01-04T11:42:20Z	-
dc.date.issued	2015-06	-
dc.identifier.citation	Okorie, C. E., Abubakar, U. Y. and Adetutu, O. M., (2015). ANALYSIS OF AUTO CORRELATED DATA. Paper presented at 34th Annual Conference of the Nigerian Mathematical Society (NMS).	en_US
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16613	-
dc.description.abstract	Repeated measures analysis widely used tool of applied statistician. However, its uses are confronted with what seems to be a myriad of decisions, even in its simple application due to the serial auto correlation of repeated measures data. Milk production of four different cattle groups at Maizube Farms Ltd, Minna, Nigeria were analysed using individual curves fitting, trend analysis and one way analysis of variance which showed serial auto correlation of the repeated measures data with time. In order to remove auto correlation of measures with respect to time, satisfactory approaches such as generalized linear model, profile plots and two-stage linear model were used and the result obtained showed remarkable improvement over the former descriptive approach	en_US
dc.language.iso	en	en_US
dc.publisher	34th Annual Conference of the Nigerian Mathematical Society (NMS).	en_US
dc.title	ANALYSIS OF AUTO CORRELATED DATA	en_US
Appears in Collections:	Statistics

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