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Some Investigations on Designs for Mixture Experiments with Process Variable

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Title Some Investigations on Designs for Mixture Experiments with Process Variable
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Creator Krishan Lal
Upendra Kumar Pradhan
V. K. Gupta
 
Subject Box–Behnken design
Central composite design
G-efficiency
Orthogonal blocking
Process variable
Projection designs
 
Description Not Available
In mixture experiments, the response is assumed to depend on the relative proportions of the ingredients present in the mixture and not on total amount of the mixture. When these experiments are conducted with variables that do not form any portion of the mixture, the levels changed could affect the blending properties of the ingredients are called mixture experiments with process variables. Different models used in various situations for the analysis of mixture experiments with process variables have been discussed. Two methods of construction of mixture experiments with process variables have been developed. In the first method, an efficient response surface design with orthogonal blocks is taken. The mixture designs have been obtained by projecting a suitable unconstrained design (response surface design) onto the hyper-plane defined by the constraints . The second method is developed by modifying the method given by Wu and Ding for response surface designs for qualitative and quantitative factors.
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Date 2023-12-21T11:18:46Z
2023-12-21T11:18:46Z
2020-01-05
 
Type Book chapter
 
Identifier Lal, K., Pradhan, U.K., Gupta, V.K. (2020). Some Investigations on Designs for Mixture Experiments with Process Variable. In: Chandra, G., Nautiyal, R., Chandra, H. (eds) Statistical Methods and Applications in Forestry and Environmental Sciences. Forum for Interdisciplinary Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-15-1476-0_12
978-981-15-1476-0
http://krishi.icar.gov.in/jspui/handle/123456789/81085
 
Language English
 
Relation Not Available;
 
Publisher Springer Nature Singapore