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Article
Sequential support points
By minimizing the energy distance, the support points (SP) method can efficiently compact big training sample into a representative point set with small size. However, when the training sample is deficient, th...
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Article
Batch sequential adaptive designs for global optimization
Efficient global optimization (EGO) is one of the most popular sequential adaptive design (SAD) methods for expensive black-box optimization problems. A well-recognized weakness of the original EGO in complex ...
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Chapter
Study of Central Composite Design and Orthogonal Array Composite Design
Response surface methodology (RSM) is an effective tool for exploring the relationships between the response and the input factors. Central composite design (CCD) and orthogonal array composite design (OACD) a...
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Article
A comparison study of nonparametric imputation methods
Consider estimation of a population mean of a response variable when the observations are missing at random with respect to the covariate. Two common approaches to imputing the missing values are the nonparame...
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Article
Minimax Invariant Estimator of Continuous Distribution Function Under Linex Loss
In this paper we consider the problem of estimation of a continuous distribution function under the LINEX loss function. The best invariant estimator is obtained, and proved to be minimax for any sample size n ≥ ...
