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פותח על ידי קלירמאש פתרונות בע"מ -
Estimation of the variance between units of given size from experimental data
Year:
1984
Authors :
גניזי, אברהם
;
.
פוטר, יוסף
;
.
Volume :
9
Co-Authors:
Genizi, A., Agricultural Research Organization, Bet-Dagan, Israel
Lahav, E., Agricultural Research Organization, Bet-Dagan, Israel
Putter, J., Agricultural Research Organization, Bet-Dagan, Israel
Facilitators :
From page:
83
To page:
101
(
Total pages:
19
)
Abstract:
The determination of optimum unit size requires the knowledge of the between-units variance Vg as a function of the unit size g. The problem is to estimate Vg from the data of an actual experiment (as opposed to a uniformity trial), in which different treatments were assigned to different units. Some estimators have been proposed in the literature, but they are based on models with underlying independence assumptions. The randomization model makes it possible to derive unbiased estimators for Vg without such assumptions. Some explicit formulae for such estimators, most of which are quadratic functions of the treatment residuals, are obtained for the completely randomized, randomized block, and balanced incomplete block designs. © 1984.
Note:
Related Files :
Optimum unit size
Randomization model
Variance estimation
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/0378-3758(84)90047-8
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
22781
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:54
Scientific Publication
Estimation of the variance between units of given size from experimental data
9
Genizi, A., Agricultural Research Organization, Bet-Dagan, Israel
Lahav, E., Agricultural Research Organization, Bet-Dagan, Israel
Putter, J., Agricultural Research Organization, Bet-Dagan, Israel
Estimation of the variance between units of given size from experimental data
The determination of optimum unit size requires the knowledge of the between-units variance Vg as a function of the unit size g. The problem is to estimate Vg from the data of an actual experiment (as opposed to a uniformity trial), in which different treatments were assigned to different units. Some estimators have been proposed in the literature, but they are based on models with underlying independence assumptions. The randomization model makes it possible to derive unbiased estimators for Vg without such assumptions. Some explicit formulae for such estimators, most of which are quadratic functions of the treatment residuals, are obtained for the completely randomized, randomized block, and balanced incomplete block designs. © 1984.
Scientific Publication
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