A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering
نویسندگان
چکیده
منابع مشابه
Bayesian Approach to Parameter Estimation
In many problems, before any observations from f(x|θ) are available, the experimenter or statistician will be able to summarize his previous information and knowledge about where in Θ the value of θ is likely to lie by constructing a probability distribution for θ on the set Θ. In other words, before any experimental data have been collected or observed, the experimenter’s past experience and k...
متن کاملA Hybrid Optimization Approach to Parameter Estimation
Many parameter estimation problems in chemical or biochemical engineering lead to ill-conditioned and nonconvex optimization problems. For bad starting values the use gradient based result in local optimal solutions. To overcome this drawback, a global optimization approach, Simulated Annealing, has been coupled with a gradient-based SQP approach. To improve the accuracy of the parameter estima...
متن کاملA Bayesian Approach to Bivariate Surface Estimation
This paper outlines a general Bayesian approach to estimating a bivariate regression function in a nonpara-metric manner. It models the function using a bivariate regression spline basis with many terms. Binary indicator variables corresponding to these terms are introduced to explicitly model the uncertainty of whether, or not, the terms provide a signiicant contribution to the regression. The...
متن کاملBayesian Parameter Estimation: A Monte Carlo Approach
This paper presents a Bayesian approach, using parallel Monte Carlo modelling algorithms for combining expert judgements when there is inherent variability amongst these judgements. The proposed model accounts for the situation when the derivative method for finding the maximum likelihood breaks down Introduction An expert is deemed to mean a person with specialised knowledge about a given subj...
متن کاملA NEW APPROACH FOR PARAMETER ESTIMATION IN FUZZY LOGISTIC REGRESSION
Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This situation leads researchers to combine fuzzy set and statistical theories. Fuzzy logistic regression analysis is one of the outcomes of this combination and it is used in situa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sakarya University Journal of Science
سال: 2019
ISSN: 1301-4048
DOI: 10.16984/saufenbilder.485785