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The Journal of the Science of Food and Agriculture, 2022
Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
semanticscholar +1 more source
Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
semanticscholar +1 more source
A review of response surface methodology for biogas process optimization
Cogent Engineering, 2022This paper aimed at reviewing current researches on the use of Response Surface Methodology in the optimisation of Biogas processes. It explored the performance of RSM in biogas process optimization, the most effective technique and the attendant ...
Solal Stephanie Djimtoingar +3 more
semanticscholar +1 more source
2020
Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Luis A. Sarabia +2 more
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Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Luis A. Sarabia +2 more
openaire +3 more sources
Critical reviews in environmental science and technology, 2020
Nowadays, water pollution has been considered a global concern on environmental sustainability, calling for high-performance materials in effective pollution treatments.
Z. Anfar +6 more
semanticscholar +1 more source
Nowadays, water pollution has been considered a global concern on environmental sustainability, calling for high-performance materials in effective pollution treatments.
Z. Anfar +6 more
semanticscholar +1 more source
International Journal of Environmental Analytical Chemistry, 2021
The presence of fluoride ions is considered a threat to public health and the environment due to health challenges.
Seyed Yaser Hashemi +3 more
semanticscholar +1 more source
The presence of fluoride ions is considered a threat to public health and the environment due to health challenges.
Seyed Yaser Hashemi +3 more
semanticscholar +1 more source
2004
Abstract : There is a problem faced by experimenters in many technical fields, where, in general, the response variable of interest is y, and there is a set of predictor variables x1, x2,...xk. For example, in Dynamic Network Analysis (DNA) Response Surface Methodology (RSM) might be useful for sensitivity analysis of various DNA measures for different
Jeff Reminga +2 more
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Abstract : There is a problem faced by experimenters in many technical fields, where, in general, the response variable of interest is y, and there is a set of predictor variables x1, x2,...xk. For example, in Dynamic Network Analysis (DNA) Response Surface Methodology (RSM) might be useful for sensitivity analysis of various DNA measures for different
Jeff Reminga +2 more
openaire +1 more source
2018
Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
Dharmaraja Selvamuthu, Dipayan Das
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Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
Dharmaraja Selvamuthu, Dipayan Das
openaire +1 more source
2017
Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location.
Angela Dean +2 more
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Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location.
Angela Dean +2 more
openaire +1 more source
Response Surface Methodology: 1966-1988
Technometrics, 1989Response sarfxe methodology (RSM) is a collection of tools developed in the 1950s for the purpose of determining optimum operating conditions in applications in the chemical industry. This article reviews the progrrss of RSM in the general areas of experimental design and analysis and indicates how its role has been affected by advanccs in other fields
Raymond H. Myers +3 more
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Response Surface Methodology in Biotechnology
Quality Engineering, 2010ABSTRACT Many experiments in biotechnology exploit the principles and methods of response surface methodology (RSM). The Quality by Design initiative in pharmaceutical development will accelerate this trend. In this article we give a broad picture of the important role played by RSM in biotechnology experimentation.
David M. Steinberg, Dizza Bursztyn
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