Sentence examples for Residential data from inspiring English sources

Residential data reported by Schreiber et al. (2002) were originally collected by the New York State Department of Health (NYSDOH) as a pilot project to support development of a larger study (NYSDOH, unpublished data).

In our case study Kampala (Uganda) four main groups were identified through cluster analysis of socio-economic and residential data gathered through interviews: extreme poor, poor, middle income and rich.

However, our additional results show that these methods perform poorly on residential data, and that Least Squares Support Vector Machines perform best – a technique not previously applied to this domain.

In this article, we report on the evaluation of seven different machine learning algorithms applied to a new residential data set that contains sensor measurements collected every 15 min, with the objective of determining which techniques are most successful for predicting next hour residential building consumption.

Some research has made use of pedestrian models to compare rates of street crime using pedestrian volume estimates and traditional residential data, finding significant differences between the two (Chainey and Desyllas 2008).

The sensitivity analyses showed, however, that the results and conclusions were robust to missing residential data and the assumptions made.

We evaluated the performance of the approach described above with typical Australian residential address data using two data sources.

23 Medicare data provide residential information at the zip (postal) code level only.

Some of the limitations of this analysis include concern over accuracy of residential history data, limitations of the TRI data themselves, and methods of exposure assessment.

We matched a national health register (the New Zealand national health index or NHI) to Quotable Value New Zealand Ltd QVV) nationwide residential dwelling data, and to hospital admissions data, to create a national matched cohort with health outcomes for the period 2000 – 2006.

In this paper, the residential load data from Ausgrid combined with local weather data is used to develop an expert system, which can predict air-conditioner existence and identify usage patterns.