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dc.contributor.authorSaif Uddinl, Kh.
dc.contributor.authorJones, B.
dc.date.accessioned2021-01-25T06:33:42Z
dc.date.available2021-01-25T06:33:42Z
dc.date.issued1995-06
dc.identifier.urihttp://publications.bsmrau.edu.bd/handle/123456789/796
dc.description.abstractAttempt has been made to find out the practical implication of some methods for analysing randomized block design with missing observations. Nine methods have been examined. In fact, all the methods quite agree to the first place of decimals and approximately to the second place of decimals in estimating missing plots. The covariance method is the quickest method to get the estimation of the missing plots. Fitting missing values by a coverince adjustment an old method possibly on account of the proliferation of Computer programs make covariance adjustments without difficulty.en_US
dc.description.sponsorshipBSMRAUen_US
dc.language.isoenen_US
dc.publisherBSMRAUen_US
dc.relation.ispartofseriesVOL-5;No-1
dc.subjectMissing Plotsen_US
dc.subjectAnalysis of variance and covariance and Randomized block designen_US
dc.titleMissing plots in analysing randomized block designen_US
dc.typeArticleen_US


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