Abstract
We intend to discuss some standard and non-standard Data Integration Techniques with a hypothetical illustration from a study of environmental factors [to be called sources] and the extent of their toxic release in the surface areas of several locations in a closed region. The purpose is to rank the locations—by ’integrating’ the effects of toxic release from all the potential sources. From a practical point of view, it is highly unlikely that a single location can be the ’absolute best’ [i.e., the location possesses minimum toxic release for each of the toxicity sources] for any reasonable environmental study. Hence, there is a need for data integration to arrive at an overall ranking of the locations, keeping the differential toxic effects in mind. Naturally, rank 1 corresponds to the least ’compound’ effect of the toxicity sources.
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Mukherjee, S.P., Sinha, B.K., Chattopadhyay , A. (2018). Data Integration Techniques. In: Statistical Methods in Social Science Research. Springer, Singapore. https://doi.org/10.1007/978-981-13-2146-7_5
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DOI: https://doi.org/10.1007/978-981-13-2146-7_5
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