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Contemporary Experimental Design, Multivariate Analysis and Data Mining

Festschrift in Honour of Professor Kai-Tai Fang
BuchGebunden
386 Seiten
Englisch
Springererschienen am23.05.20201st ed. 2020
The collection and analysis of data play an important role in many ï¬elds of science and technology, such as computational biology, quantitative ï¬nance, information engineering, machine learning, neuroscience, medicine, and the social sciences.mehr
Verfügbare Formate
BuchGebunden
EUR181,89
BuchKartoniert, Paperback
EUR181,89
E-BookPDF1 - PDF WatermarkE-Book
EUR171,19

Produkt

KlappentextThe collection and analysis of data play an important role in many ï¬elds of science and technology, such as computational biology, quantitative ï¬nance, information engineering, machine learning, neuroscience, medicine, and the social sciences.
Details
ISBN/GTIN978-3-030-46160-7
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2020
Erscheinungsdatum23.05.2020
Auflage1st ed. 2020
Seiten386 Seiten
SpracheEnglisch
Gewicht760 g
IllustrationenXVII, 386 p. 42 illus., 30 illus. in color.
Artikel-Nr.47963823

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte

Autor

Jianqing Fan is the Frederick L. Moore Professor at Princeton University. After receiving his Ph.D. from the University of California at Berkeley, he was appointed a professor at the University of North Carolina at Chapel Hill (1989-2003), the University of California at Los Angeles (1997-2000), Chinese University of Hong Kong (2000-2003) and Princeton University (2003-present). A past president of the Institute of Mathematical Statistics and International Chinese Statistical Association, he is currently a co-editor of the Journal of Business and Economics Statistics and a former co-editor of Annals of Statistics, Probability Theory and Related Fields, and Journal of Econometrics. His published work on statistics, economics, finance, and computational biology has been recognized with the 2000 COPSS President's Award, the 2007 Morningside Gold Medal of Applied Mathematics, Guggenheim Fellowship, P.L. Hsu Prize, Guy medal, Noether Senior Scholar Award. He is also member of the Academia Sinica, IMS, ASA, AAAS and SoFiE.