Titlebook: Statistical Learning and Modeling in Data Analysis; Methods and Applicat Simona Balzano,Giovanni C. Porzio,Maurizio Vichi Conference procee

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书目名称Statistical Learning and Modeling in Data Analysis影响因子(影响力)




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书目名称Statistical Learning and Modeling in Data Analysis网络公开度学科排名




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书目名称Statistical Learning and Modeling in Data Analysis被引频次学科排名




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书目名称Statistical Learning and Modeling in Data Analysis年度引用学科排名




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书目名称Statistical Learning and Modeling in Data Analysis读者反馈学科排名

繁荣中国

CRACY

,A Cramér–von Mises Test of Uniformity on the Hypersphere,est statistic is obtained and, via numerical experiments, shown to be tractable and practical. A novel study on the uniformity of the distribution of craters on Venus illustrates the usage of the test.

Expiration

Latent Class Analysis for the Derivation of Marketing Decisions: An Empirical Study for BEV Batteryrs in China and performed latent class analysis. We found substantial preference heterogeneity among BEV customers, which transfers into varying needs of BEV manufacturers w.r.t. batteries. Using these results, we determined the pricing and product design strategies for BEV battery manufacturers.

observatory

Conference proceedings 2021ng real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial methods, from directional data analysis to time series analysis and small area estimation. The applications reflect new analyses in a variety of fields, i

Fierce

On Predicting Principal Components Through Linear Mixed Models,tribution-free Variance Least Squares method. An application to some Well-being Italian indicators shows the changeover from longitudinal data to the subject-specific best prediction by a random-effects multivariate Analysis of Variance model.

CLOWN

凌辱

Studying Affiliation Networks Through Cluster CA and Blockmodeling,when dealing with affiliation matrices having a binary structure. Hence, we look at the way network positions (clusters) can be incorporated in cluster CA to verify if cluster CA can properly represent specific network structures. We illustrate our proposal through an empirical application on an affiliation network of stage co-productions.

美学

,Small Area Estimation Diagnostics: The Case of the Fay–Herriot Model,edictor, and a Cook’s Distance of the empirical predictor for the Fay–Herriot model, when the area-random effect variance is estimated by the restricted maximum likelihood method. Further, the validity of this approach is illustrated by means of an application to poverty data.

forecast