Statistical learning and modeling in...
Balzano, Simona.

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  • Statistical learning and modeling in data analysis = methods and applications /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Statistical learning and modeling in data analysis/ edited by Simona Balzano ... [et al.].
    其他題名: methods and applications /
    其他作者: Balzano, Simona.
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: viii, 182 p. :ill. (some col.), digital ;24 cm.
    內容註: Chapter 1 - Interpreting Effects in Generalized Linear Modeling (Alan Agresti, Claudia Tarantola, and Roberta Varriale) -- Chapter 2 - ACE, AVAS and Robust Data Transformations: Performance of Investment Funds (Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli) -- Chapter 3 - Predictive Principal Component Analysis (Simona Balzano, Maja Bozic, Laura Marcis, and Renato Salvatore) -- Chapter 4 - Robust model-based learning to discover new wheat varieties and discriminate adulterated kernels in X-ray images (Andrea Cappozzo, Francesca Greselin, and Thomas Brendan Murphy) -- Chapter 5 - A dynamic model for ordinal time series: an application to consumers' perceptions of inflation (Marcella Corduas) -- Chapter 6 - Deep learning to jointly analyze images and clinical data for disease detection (Federica Crobu and Agostino Di Ciaccio) -- Chapter 7 -Studying Affiliation Networks through Cluster CA and Blockmodeling (Daniela D'Ambrosio, Marco Serino, and Giancarlo Ragozini) -- Chapter 8 - Sectioning Procedure on Geostatistical Indices Series of Pavement Road Profiles (Mauro D'Apuzzo, Rose-Line Spacagna, Azzurra Evangelisti, Daniela Santilli, and Vittorio Nicolosi) -- Chapter 9 - Directional supervised learning through depth functions: an application to ECG waves analysis (Houyem Demni) -- Chapter 10 - Penalized vs. contrained approaches for clusterwise linear regression modelling (Roberto Di Mari, Stefano Antonio Gattone, and Roberto Rocci) -- Chapter 11 - Effect measures for group comparisons in a two-component mixture model: a cyber risk analysis (Maria Iannario and Claudia Tarantola) -- Chapter 12 - A Cramer-von Mises test of uniformity on the hypersphere (Eduardo Garcia-Portugues, Paula Navarro-Esteban, and Juan Antonio Cuesta-Albertos) -- Chapter 13 - On mean and/or variance mixtures of normal distributions (Sharon X. Lee and Geoffrey J. McLachlan) -- Chapter 14 - Robust depth-based inference in elliptical models (Stanislav Nagy and Jiri Dvorak) -- Chapter 15 - Latent class analysis for the derivation of marketing decisions: An empirical study for BEV battery manufacturers (Friederike Paetz) -- Chapter 16 - Small Area Estimation Diagnostics: the Case of the Fay-Herriot Model (Maria Chiara Pagliarella) -- Chapter 17 - A comparison between methods to cluster mixed-type data: Gaussian mixtures versus Gower distance (Monia Ranalli and Roberto Rocci) -- Chapter 18 - Exploring the gender gap in Erasmus student mobility flows (Marialuisa Restaino, Ilaria Primerano, and Maria Prosperina Vitale)
    Contained By: Springer Nature eBook
    標題: Statistics - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-69944-4
    ISBN: 9783030699444
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W9405921 電子資源 11.線上閱覽_V 電子書 EB QA276.A1 S73 2021 一般使用(Normal) 在架 0
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