2015 - Shewhart Medal
1998 - Fellow of the American Statistical Association (ASA)
His primary scientific interests are in Mathematical optimization, Statistics, Algorithm, Surface and Data mining. His work carried out in the field of Mathematical optimization brings together such families of science as Degree, Orthogonal array, Fuzzy logic and Plan. His Statistics study integrates concerns from other disciplines, such as EWMA chart and Control chart.
Dennis K.J. Lin does research in Algorithm, focusing on Random search specifically. His Surface study combines topics from a wide range of disciplines, such as Composite number and Response surface methodology. His study on Fractional factorial design is often connected to Mixed level as part of broader study in Factorial experiment.
Dennis K.J. Lin mostly deals with Mathematical optimization, Algorithm, Statistics, Fractional factorial design and Computer experiment. His studies deal with areas such as Econometrics, Measure, Surface and Orthogonal array as well as Mathematical optimization. His Algorithm study typically links adjacent topics like Bayesian probability.
His Statistics research is multidisciplinary, incorporating perspectives in System failure, Control chart and Applied mathematics. Dennis K.J. Lin interconnects Orthogonality and Latin hypercube sampling in the investigation of issues within Computer experiment. His Latin hypercube sampling research is multidisciplinary, relying on both Discrete mathematics, Hypercube and Combinatorics.
Dennis K.J. Lin mainly investigates Algorithm, Mathematical optimization, Computer experiment, Latin hypercube sampling and Combinatorics. His research in Algorithm intersects with topics in Artificial neural network, Perceptron, Kernel regression, Regression and Nonlinear system. While working on this project, Dennis K.J. Lin studies both Mathematical optimization and Approximate theory.
His biological study spans a wide range of topics, including Design of experiments, Space, Computer simulation and Kriging. His studies examine the connections between Latin hypercube sampling and genetics, as well as such issues in Discrete mathematics, with regards to Group. The Combinatorics study combines topics in areas such as Blocking and Confounding.
The scientist’s investigation covers issues in Latin hypercube sampling, Combinatorics, Mathematical optimization, Algorithm and Computer experiment. In his study, which falls under the umbrella issue of Latin hypercube sampling, Orthogonal array is strongly linked to Discrete mathematics. The study incorporates disciplines such as Blocking and Confounding in addition to Combinatorics.
His studies in Mathematical optimization integrate themes in fields like Order and Optimal design. Dennis K.J. Lin integrates several fields in his works, including Algorithm and Scalability. His Computer experiment study which covers Kriging that intersects with Similarity, Measure and Cross-validation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Uniform Design: Theory and Application
Kai Tai Fang;Dennis K.J. Lin;Peter Winker;Yong Zhang.
Dual response surface optimization
Dennis K. J. Lin;Wanzhu Tu.
Journal of Quality Technology (1995)
A new class of supersaturated designs
Dennis K. J. Lin.
Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions
Kwang Jae Kim;Dennis K.J. Lin.
Journal of The Royal Statistical Society Series C-applied Statistics (2000)
The Time-Series Link Prediction Problem with Applications in Communication Surveillance
Zan Huang;Dennis K. J. Lin.
Informs Journal on Computing (2009)
Dual Response Surface Optimization: A Fuzzy Modeling Approach
Kwang Jae Kim;Dennis K.J. Lin.
Journal of Quality Technology (1998)
Generating Systematic Supersaturated Designs
Dennis K.J. Lin.
Model selection for support vector machines via uniform design
Chien Ming Huang;Yuh Jye Lee;Dennis K.J. Lin;Su Yun Huang.
Computational Statistics & Data Analysis (2007)
Projection properties of Plackett and Burman designs
Dennis K. J. Lin;Norman R. Draper.
Ch. 4. Uniform experimental designs and their applications in industry
Kai Tai Fang;Dennis K.J. Lin.
Handbook of Statistics (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: