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Showing 1 to 8 of 8 for “"data disaggregation"”.

  1. Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion

    … unsupervised classification methods to economic data partitioning, a nonparametric, deterministic, and robust data-driven partitional hard cluster analysis, derived from a novel similarity measure, is introduced. The main objective of the proposed method in the present study is to support …

    cambridge Repository record for Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion (opens in a new tab)

  2. British regional employment and development policies.

    … with an examination of the use of alternative data disaggregation in the analysis of changes that occurred in the economic structure of the regions.Finally an attempt is made to assess the most appropriate data disaggregation to be used when interpreting changes over time in regional economic …

    sheffield-hallam Repository record for British regional employment and development policies. (opens in a new tab)

  3. An application of Solow's growth model: Case of sub-Saharan Africa

    … is significant only at higher levels of data disaggregation. Our findings are consistent with Mankiw et al.'s (1992) which confirm Solow's predictions that saving has a positive effect on per capita income whereas population growth has a negative effect.

    unlv Repository record for An application of Solow's growth model: Case of sub-Saharan Africa (opens in a new tab)

  4. A Quantitative Exploration of the Educational Paths to Completion Taken by First Generation College Students and Students Who Have a Parent with A Four-Year College Degree

    … college degree. The research design uses data from four points in time to analyze and report the characteristics of a sample population of more than 16,000 students spread across 750 public and private secondary institutions in the United States (Gall, Gall & Borg, 2007). The data are …

    umkc Repository record for A Quantitative Exploration of the Educational Paths to Completion Taken by First Generation College Students and Students Who Have a Parent with A Four-Year College Degree (opens in a new tab)

  5. The use and disaggregation of survey data to study the cross-sectional and spatial distribution of multimorbidity and its association with socioeconomic disadvantage in South Africa

    … to provide a proof of concept of the use and disaggregation of existing health data in order to study the cross-sectional and spatial distribution of HIV, tuberculosis and noncommunicable disease multimorbidity and the association with socioeconomic disadvantage at a South African, Western …

    cape-town Repository record for The use and disaggregation of survey data to study the cross-sectional and spatial distribution of multimorbidity and its association with socioeconomic disadvantage in South Africa (opens in a new tab)

  6. Spatial Distributions of Domestic and Non-Domestic Violence by Firearm Involvement

    … of these characteristics, to determine if disaggregation of the data into subgroups may aid in policy development. Data on murder, non-negligent manslaughter, and aggravated assault incidents reported to Austin Police Department in the city of Austin, Texas, throughout 2020 and 2021 (n = …

    texas-state Repository record for Spatial Distributions of Domestic and Non-Domestic Violence by Firearm Involvement (opens in a new tab)

  7. Disaggregation and classification of residential water events from high-resolution smart water meter data using unsupervised machine learning methods

    … analyzed 1-second resolution smart water meter data from a 4-person household over the course of one year. The smart meter data were disaggregated using derivative signals of the influent water flow rate at the water main entrance to the home to identify start and end times of water events. …

    uiuc Repository record for Disaggregation and classification of residential water events from high-resolution smart water meter data using unsupervised machine learning methods (opens in a new tab)