Contemporary Experimental Design, Multivariate Analysis and Data Mining

Edited by Jianqing Fan () and Jianxin Pan ()

in Springer Books from Springer

Date: 2020
ISBN: 978-3-030-46161-4
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Chapters in this book:

Ch Chapter 1 Walking on the Road to the Statistical Pyramid

Jianxin Pan, Jiajuan Liang and Guoliang Tian

Ch Chapter 10 Study of Central Composite Design and Orthogonal Array Composite Design

Si Qiu, Minyu Xie, Hong Qin and Jianhui Ning

Ch Chapter 11 Uniform Design on Manifold

Yu Tang

Ch Chapter 12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison

Jiajuan Liang, Man-Lai Tang, Jing Yang and Xuejing Zhao

Ch Chapter 13 Estimating the Location Vector for Spherically Symmetric Distributions

Jian-Lun Xu

Ch Chapter 14 On Equidistant Designs, Symmetries and Their Violations in Multivariate Models

Milan Stehlík, Mirtha Pari Ruiz, Silvia Stehlíková and Ying Lu

Ch Chapter 15 Estimation of Covariance Matrix with ARMA Structure Through Quadratic Loss Function

Defei Zhang, Xiangzhao Cui, Chun Li and Jianxin Pan

Ch Chapter 16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method

Victoria Chen and Heping Zhang

Ch Chapter 17 Bayesian Mixture Models with Weight-Dependent Component Priors

Elaheh Oftadeh and Jian Zhang

Ch Chapter 18 Cosine Similarity-Based Classifiers for Functional Data

Tianming Zhu and Jin-Ting Zhang

Ch Chapter 19 Projection Test with Sparse Optimal Direction for High-Dimensional One Sample Mean Problem

Wanjun Liu and Runze Li

Ch Chapter 2 The Contribution to Experimental Designs by Kai-Tai Fang

Min-Qian Liu, Dennis K. J. Lin and Yongdao Zhou

Ch Chapter 20 Goodness-of-fit Tests for Correlated Bilateral Data from Multiple Groups

Xiaobin Liu and Chang-Xing Ma

Ch Chapter 21 A Bilinear Reduced Rank Model

Chengcheng Hao, Feng Li and Dietrich von Rosen

Ch Chapter 22 Simultaneous Multiple Change Points Estimation in Generalized Linear Models

Xiaoying Sun and Yuehua Wu

Ch Chapter 23 Data-Based Priors for Bayesian Model Averaging

M. Ai, Y. Huang and J. Yu

Ch Chapter 24 Quantile Regression with Gaussian Kernels

Baobin Wang, Ting Hu and Hong Yin

Ch Chapter 3 From “Clothing Standard” to “Chemometrics”

Ping He, Xiaoling Peng and Qingsong Xu

Ch Chapter 4 A Review of Prof. Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China

Gang Li and Xiaoling Peng

Ch Chapter 5 Is a Transformed Low Discrepancy Design Also Low Discrepancy?

Yiou Li, Lulu Kang and Fred J. Hickernell

Ch Chapter 6 The Construction of Optimal Design for Order-of-Addition Experiment via Threshold Accepting

Peter Winker, Jianbin Chen and Dennis K. J. Lin

Ch Chapter 7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation

Mei Zhang, Aijun Zhang and Yongdao Zhou

Ch Chapter 8 Drug Combination Studies, Uniform Experimental Design and Extensions

Ming T. Tan and Hong-Bin Fang

Ch Chapter 9 Modified Robust Design Criteria for Poisson Mixed Models

Hongyan Jiang and Rongxian Yue

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-030-46161-4

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DOI: 10.1007/978-3-030-46161-4

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