Displaying similar documents to “Teaching Statistics to Engineers: Learning from Experiential Data”

Confidentiality in the European Statistical System.

Photis Nanopoulos (1997)

Qüestiió

Similarity:

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...

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

Daniel Defays (1997)

Qüestiió

Similarity:

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)

International Journal of Applied Mathematics and Computer Science

Similarity:

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...

Statistical databases: the reference environment and three layers proposed by Eurostat.

Roger Dubois (1997)

Qüestiió

Similarity:

The functions of the Eurostat information system are divided into four sectors which correspond to the various stages in the processing of data from their collection to their difussion: - Production: collection, validation and storage of the data and meta-data; - Storage of the reference data (acceptance of the information); - Use of the reference data (visibility/security and find/deliver); - Diffusion. The system of acquisition...