Contemporary Experimental Design, Multivariate Analysis and Data Mining Festschrift in Honour of Professor Kai-Tai Fang /: Festschrift in Honour of Professor Kai-Tai Fang. (2020)

• Record Type: Book
• Further Information: Note: Edited by Jianqing Fan, Jianxin Pan.
• Editors: Fan, Jianqing; Pan, Jianxin
• Contents: Part I Review of Kai-Tai Fang's Contribution -- 1 Walking on the Road to the Statistical Pyramid -- 2 The contribution to experimental designs by Kai-Tai Fang -- 3 From "Clothing Standard" to "Chemometrics" -- 4 A Review of Professor Kai-Tai Fang's Contribution to the Education, Promotion, and Advancement of Statistics in China -- Part II Design of Experiments -- 5 Is a Transformed Low Discrepancy Design Also Low Discrepancy? -- 6 The construction of optimal design for order-of-addition experiment via threshold accepting -- 7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation -- 8 Drug Combination Studies, Uniform Experimental Design and Extensions -- 9 Modified robust design criteria for Poisson mixed models -- 10 Study of Central Composite Design and Orthogonal Array Composite Design -- 11 Uniform design on manifold -- Part III Multivariate Analysis -- 12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison -- 13 Estimating the Location Vector for Spherically Symmetric Distributions -- 14 On equidistant designs, symmetries and their violations in multivariate models -- 15 Estimation of covariance matrix with ARMA structure through quadratic loss function -- Part IV Data Mining -- 16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method -- 17 Bayesian Mixture Models with Weight-Dependent Component Priors -- 18 Cosine Similarity-Based Classifiers for Functional Data -- Part V Hypothesis Test and Statistical Models -- 19 Projection Test with Sparse Optimal Direction for High-dimensional One Sample Mean Problem -- 20 Goodness-of-fit tests for correlated bilateral data from multiple groups -- 21 A Bilinear Reduced Rank Model -- 22 Simultaneous multiple change points estimation in generalized linear models -- 23 Data-Based Priors for Bayesian Model Averaging -- 24 Quantile regression with Gaussian kernels.
• Publisher Details: Cham : Springer International Publishing Imprint: Springer
• Publication Date: 2020
• Extent: 1 online resource (XVII, 386 pages), 42 illustrations, 30 illustrations in color
• Subjects: 519.5; Statistics; Data mining; Big data
• Languages: English
• ISBNs: 9783030461614; 3030461610
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