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Process optimization a statistical approach
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Process optimization a statistical approach (2007)Process optimization a statistical approa…Bayesian predictive optimization of multiple and profile response systems in the process industry: A review and extensions (2020)Bayesian predictive optimizat…Response surface methodology for advanced manufacturing technology optimization: theoretical fundamentals, practical guidelines, and survey literature review (2019)Response surface methodology …A new loss function for multi-response optimization with model parameter uncertainty and implementation errors (2016)A new loss function for multi…Robust dual-response optimization (2015)Robust dual-response optimiza…A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)A new Bayesian approach to mu…Determinants Of Financial Distress In Insurance Companies In Kenya (2014)Determinants Of Financial Dis…10.5937/sjm9-5784 = The use of voluntary disclosure in determining the quality of financial statements: Evidence from the Nigeria listed companies (2014)10.5937/sjm9-5784 = The use o…An approach to optimize correlated multiple responses using principal component analysis and desirability function (2011)An approach to optimize corre…Factorial Design for Efficient Experimentation (2010)Factorial Design for Efficien…Statistical testing of optimality conditions in multiresponse simulation-based optimization (2008)Statistical testing of optima…Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature (2001)Illiquidity and stock returns: cross-section and time-series effects (2002)Corporate Governance Disclosure in Developing Countries: A Comparative Analysis in Nigerian and South African Banks (2017)Stakeholders influence on voluntary disclosure practices by listed companies in Nigeria (2018)Simultaneous Optimization of Several Response Variables (1980)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response surface methodology: Process and product optimization using designed experiments (1997)Bayesian closed-loop robust process design considering model uncertainty and data quality (2019)Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions (2021)The Application of Electronic Computers to Factor Analysis (1960)Response Surface Methodology (1996)On the Experimental Attainment of Optimum Conditions (1951)Simulation Modeling and Analysis. (1983)Simulation modeling and analysis (1999)Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements (2011)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Robust Optimization (2009)Research methods for business: A skill building approach (1993)Research Methods for Business Students (2003)Making sense of Cronbach's alpha (2011)Introduction to Quality Engineering: Designing Quality into Products and Processes (1986)Stochastic Kriging for Simulation Metamodeling (2009)Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation (2017)Robust optimization model for medical staff rebalancing problem with data contamination during COVID-19 pandemic (2021)Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method (2023)Response surface methodology (RSM) as a tool for optimization in analytical chemistry (2008)Response Surface Methodology Using Observational Data: A Systematic Literature Review (2022)A review of the use of central composite design in the optimization of procedures aiming at food chemical analysis (2025)A Study of the Response Surface Methodology Model with Regression Analysis in Three Fields of Engineering (2025)Response surface methodology (2010)STATISTICS FOR SPATIAL DATA (1992)Response Surface Methodology (2013)Shop floor simulation optimization using machine learning to improve parallel metaheuristics (2020)
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  • 2019Response surface methodology for advanced manufacturing technology optimization: theoretical fundamentals, practical guidelines, and survey literature review140 cited
  • 2015A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability60 cited
  • 2008Statistical testing of optimality conditions in multiresponse simulation-based optimization39 cited
  • 2016A new loss function for multi-response optimization with model parameter uncertainty and implementation errors37 cited
  • 2010Factorial Design for Efficient Experimentation35 cited
  • 2011An approach to optimize correlated multiple responses using principal component analysis and desirability function33 cited
  • 2015Robust dual-response optimization31 cited
  • 2020Bayesian predictive optimization of multiple and profile response systems in the process industry: A review and extensions30 cited
  • 201410.5937/sjm9-5784 = The use of voluntary disclosure in determining the quality of financial statements: Evidence from the Nigeria listed companies20 cited
  • 2014Determinants Of Financial Distress In Insurance Companies In Kenya16 cited

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