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Total Data Quality Management (TDQM) methodology claims that we should manage data as we manage products, but principles, guidelines, and techniques of Total Quality Management for physical products have limitations in TDQM practices because of the nature of data. Some concepts and models are proposed for resolving problems in TDQM practices. Firstly, history evolvement of product is discussed, and...
Information prediction plays an important role in many fields such as medical, geological and military fields. However, it is quite difficult to predict the unknown information only by some sparse hard data in the process of simulation based on current popular interpolation methods. Accuracy of simulated images can be improved by using soft data and hard data. Multiple-point geostatistics (MPS) originates...
The accuracy of space interpolation can be improved by using the multiple data with different dimensions, resolutions or types. Cokriging can estimate unknown states by multiple known data, with an unbiased prediction value and minimum prediction variance. However, because of the large smoothing effect of itself, cokriging can only reflect the extensive tendency of interpolation, not capable of showing...
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