Titlebook: Contemporary Experimental Design, Multivariate Analysis and Data Mining; Festschrift in Honou Jianqing Fan,Jianxin Pan Book 2020 Springer N

Detrusor-Muscle

書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining影響因子(影響力)




書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining影響因子(影響力)學(xué)科排名




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書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining被引頻次




書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining被引頻次學(xué)科排名




書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining年度引用




書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining年度引用學(xué)科排名




書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining讀者反饋




書目名稱Contemporary Experimental Design, Multivariate Analysis and Data Mining讀者反饋學(xué)科排名

Bridle

瑣碎

https://doi.org/10.1007/978-81-322-1638-4l design, multivariate analysis and data mining. This paper only focuses on his contribution to experimental design. He proposed the method of visualization analysis for orthogonal designs in 1970. Inspired by three big military projects in 1978, he cooperated with Prof. Yuan Wang and proposed a new

Debility

https://doi.org/10.1007/978-81-322-1638-4 methods to deal with large amounts of data in practical projects. By analyzing more than 400,000 pieces of data, he found representative clothing indicators and established the first adult clothing standard in China; through cleaning and modeling steel-making data from steel mills all over the coun

射手座

Facial Expressions of Emotions: ,,ncement of statistics in China. Under his leadership, his team had completed some of the China’s hallmark industrial projects through novel applications of statistics and developments of new statistical methodologies. He has authored/coauthored a series of best-selling modern statistics textbooks, t

枯萎將要

枯萎將要

Urban Transportation Trends: An Overview,ing that the OofA experiment involves . components, there are .! different orders of adding sequence. When . is large, it is infeasible to compare all .! possible solutions (for example, . millions). Two potential construction methods are systematic combinatorial construction and computer algorithmi

人充滿活力

千篇一律

Talkative

Sugata Marjit,Vivekananda Mukherjeen dependence on the unknown parameters. This article considers the robust designs for Poisson mixed models. Given the prior knowledge of the fixed effects parameters, a modification of the two robust design criteria is proposed by applying the number-theoretic methods. The simulated annealing algori