Statistical data integration in survey sampling: a review
نویسندگان
چکیده
منابع مشابه
3D and 4D Seismic Data Integration in Static and Dynamic Reservoir Modeling: A Review
Reservoir modeling is the process of generating numerical representations of reservoir conditions and properties on the basis of geological, geophysical, and engineering data measured on the Earth’s surface or in depth at a limited number of borehole locations. Therefore, reservoir modeling requires an incorporation of the data from a variety of sources, along with an integration of knowledge a...
متن کاملA Statistical Data Fusion Technique in Virtual Data Integration Environment
Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting or fusing attribute values from the clustered duplicates into a single record representing the real world object. In this paper, a statistical technique for data fusion is introduced based on some proba...
متن کاملToward a Framework for Statistical Data Integration
A large number of statistical data sets have been published on the web by various organizations in recent years. The resulting abundance creates opportunities for new analyses and insights, but that frequently requires integrating data from multiple sources. Inconsistent formats, access methods, units, and scales hinder data integration and make it a tedious or infeasible task. Standards such a...
متن کاملA statistical test for outlier identification in data envelopment analysis
In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Japanese Journal of Statistics and Data Science
سال: 2020
ISSN: 2520-8756,2520-8764
DOI: 10.1007/s42081-020-00093-w