Algorithmic Approaches to Construct Smaller Experimental Designs

Lall, Shwetank and Varghese, Eldho (2023) Algorithmic Approaches to Construct Smaller Experimental Designs. In: Training Manual on Statistical Designs and Analytical Methods for Multifactor Experiments. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 189-196.

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Abstract

Experimentation has basically one of the two purposes, either to find some new piece of information or to validate any existing information. Many agricultural, veterinary and fisheries experiments have gone beyond just comparing treatments and testing hypothesis. Experiments related to ration optimization, growth models, biochemical reactions, toxicity, and chemical efficacy studies require much complex and nontraditional models, consequently needing customized specific statistical designs.

Item Type:	Book Section
Uncontrolled Keywords:	Optimal Designs; Structured designs
Subjects:	Statistical Designs
Divisions:	CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division
Depositing User:	Arun Surendran
Date Deposited:	14 Sep 2023 05:13
Last Modified:	14 Sep 2023 05:13
URI:	http://eprints.cmfri.org.in/id/eprint/17456

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