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Displaying similar documents to “News and Notices. COMPSTAT 84. 6th Symposium on computational statistics”

Teaching Statistics to Engineers: Learning from Experiential Data

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The purpose of the work is to claim that engineers can be motivated to study statistical concepts by using the applications in their experience connected with Statistical ideas. The main idea is to choose a data from the manufacturing factility (for example, output from CMM machine) and explain that even if the parts used do not meet exact specifications they are used in production. By graphing the data one can show that the error is random but follows a distribution, that is, there...

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Confidentiality and data protection are the counterparts of the obligation for response and the cornerstone for confidence building between the national statistical services and the respondents. On this common principle the various national statistical systems among the 15 (and other) European states have been established. There is great concern at national and international level on statistical confidentiality. The respect of privacy has led national authorities to develop...

[unknown]

M. Fuentes (2009)

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Protecting micro-data by micro-aggregation: the experience in Eurostat.

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A natural strategy to protect the confidentiality of individual data is to aggregate them at the lowest possible level. Some studies realised in Eurostat on this topic will be presented: properties of classifications in clusters of fixed sizes, micro-aggregation as a generic method to protect the confidentiality of individual data, application to the Community Innovation Survey. The work performed in Eurostat will be put in line with other projects conducted at European level on the...

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments

Ammar Shaker, Eyke Hüllermeier (2014)

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In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal “events” or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to...