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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/42320
Title: Design and Analysis of Mixture Experiments with Process Variable
Other Titles: Not Available
Authors: U.K. Pradhan
Krishan Lal
Sukanta Dash
K.N. Singh
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: U.K. Pradhan, Krishan Lal, Sukanta Dash, KN Singh
ICAR::Indian Agricultural Statistics Research Institute
Published/ Complete Date: 2017-08-11
Project Code: Not Available
Keywords: D-optimal design
G-efficiency
Mixture experiments
Process variables
Projection design
Publisher: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106.
Citation: Upendra Kumar Pradhan, Krishan Lal, Sukanta Dash & K. N. Singh (2017) Design and analysis of mixture experiments with process variable, Communications in Statistics - Theory and Methods, 46:1, 259-270, DOI: 10.1080/03610926.2014.990104
Series/Report no.: Not Available;
Abstract/Description: A mixture experiment is an experiment in which the response is assumed to depend on the relative proportions of the ingredients present in the mixture and not on the total amount of the mixture.In such experiment process, variables do not form any portion of the mixture but the levels changed could affect the blending properties of the ingredients. Sometimes, themixture experiments are costly and the experiments are to be conducted in less number of runs. Here, a general method for construction of efficientmixture experiments in a minimumnumber of runs by themethod for projection of efficient response surface design onto the constrained region is obtained. The efficient designs with a less number of runs have been constructed for 3rd, 4th, and 5th component of mixture experiments with one process variable.
Description: Not Available
ISSN: 0361-0926 (Print) 1532-415X (Online)
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Communications in Statistics - Theory and Methods
NAAS Rating: 6.61
Volume No.: 46(1)
Page Number: 259-270
Name of the Division/Regional Station: Statistical Genetics
Source, DOI or any other URL: http://dx.doi.org/10.1080/03610926.2014.990104
URI: http://krishi.icar.gov.in/jspui/handle/123456789/42320
Appears in Collections:AEdu-IASRI-Publication

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