Incomplete split-plot designs: Construction and analysis

B.N. Mandal, Rajender Parsad and Sukanta Dash

Statistics & Probability Letters, 2020, vol. 166, issue C

Abstract: 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.

Keywords: Incomplete split-plot design; Main plot; Whole plot; Subplot; Construction; Analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715220301723
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:166:y:2020:i:c:s0167715220301723

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2020.108869

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().