ESTIMASI DATA HILANG PADA RANCANGAN ACAK KELOMPOK LENGKAP

Widiharih, Tatik (2007) ESTIMASI DATA HILANG PADA RANCANGAN ACAK KELOMPOK LENGKAP. Jurnal Matematika, 10 (2). pp. 60-65. ISSN 1410-8518

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Abstract

Randomized complete block design is a design to reduce the residual error in an experiment by removing variability due to a known and controllable nuisance variable. Missing observations introduce a new problem into the analysis since treatments are no longer orthogonal to blocks, that is, every treatment does not occur in every block, There are two general approaches to the missing values problem. The first is an exact analysis, the second is an approaximate analysis in which the missing observations are estimated and usual analysis of variance is performed just as if the estimated observations were real data, with the error degrees of freedom reduced by the number of missing observations. In this paper was discussed the second approach with completely analysis. Bigger’s method is a simple method for estimating missing observations by using matrix approximation.

Item Type:Article
Uncontrolled Keywords:estimate, randomized complete block design, Biggers method, analysis of variance
Subjects:Q Science > Q Science (General)
Divisions:Faculty of Science and Mathematics > Department of Statistics
ID Code:1858
Deposited By:Mr. Matematika Admin
Deposited On:30 Nov 2009 10:19
Last Modified:30 Nov 2009 10:19

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