Titlebook: Classification, (Big) Data Analysis and Statistical Learning; Francesco Mola,Claudio Conversano,Maurizio Vichi Conference proceedings 2018

justify

mortgage

Estimating the Effect of Prenatal Care on Birth Outcomese levels of prenatal care, as measured by the number of sonograms, increase the Apgar score of the infant, while a higher number of sonograms does not have any additional marginal effect on the outcome.

Freeze

Stephen Sirris,Tone Lindheim,Harald Askelandt is possible to identify also different roles of the communities inside the network. The approach is presented and is shown by considering simulated networks and, at the same, time by considering some real cases of networks. In particular, we consider the real network related to the Zachary Karate Club.

芳香一點(diǎn)

Conference proceedings 2018o are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, heldin Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015..

Mechanics

Classification, (Big) Data Analysis and Statistical Learning978-3-319-55708-3Series ISSN 1431-8814 Series E-ISSN 2198-3321

宏偉

Bart van der Steen,Thierry P. F. Verburghghlights the problems that arise when trying to use them in a statistical way. After that, a small-scale case study is presented by critically highlighting problems and solutions arising out of the transition from Big Data to information; it combines Census data from the Italian NSI with a telecommunication provider dataset.

FLEET

Researching Virtual Play Experiencesal nature of winds is discussed in respect to the possible ways in which . may be implemented. Among others, . is proposed and compared on a small example to other methods based on real .. Then, the first results on a larger data table are illustrated.

補(bǔ)助

污穢

Toxoid-Vaccines

https://doi.org/10.1007/978-3-319-55708-300B25, 03-06, 03C45, 91C15, 62H30, 68T10, 91C20, 91D30; classification; big data; statistical learning;