Incomplete split-plot designs: Construction and analysis

被引：0
|
作者：
Mandal, B. N. [1 ]
Parsad, Rajender [1 ]
Dash, Sukanta [1 ]
机构：
[1] ICAR Indian Agr Stat Res Inst, New Delhi 110012, India
来源：
STATISTICS & PROBABILITY LETTERS | 2020年 / 166卷
关键词：
Incomplete split-plot design; Main plot; Whole plot; Subplot; Construction; Analysis;
D O I：
10.1016/j.spl.2020.108869
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Split-plot designs are very popular in agricultural experiments where two factors require different sizes of plots. In traditional split-plot designs, main plot treatments are allocated using a randomized complete block design and subplot treatments are allocated within each main pot. However, often it may not be feasible to accommodate all the subplot treatments in each main plot. The purpose of this article is to propose a method of construction of such incomplete split-plot designs. Method of analysis of such incomplete split-plot designs is also presented. Construction and analysis methods are implemented using R language. (C) 2020 Elsevier B.V. All rights reserved.
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页数：5
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