W.F. Sheppard's correspondence with Karl Pearson and the development of his tables and moment estimates
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DOI: 10.1016/j.hm.2020.06.002
Abstract: Abstract As a new statistician, W.F. Sheppard wrote a series of letters to the leading statistician of the day, Karl Pearson, for his advice. Written a century ago and spanning three decades, the letters provide… read more here.
Keywords: correspondence; pearson; moment estimates; karl pearson ... See more keywords
Pearson syndrome
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DOI: 10.1080/17474086.2018.1426454
Abstract: ABSTRACT Introduction: Pearson syndrome (PS) is a sporadic and very rare syndrome classically associated with single large-scale deletions of mitochondrial DNA and characterized by refractory sideroblastic anemia during infancy. Areas covered: This review presents an… read more here.
Keywords: pearson syndrome; pearson; hematology;
Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient
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DOI: 10.1109/access.2017.2783320
Abstract: Dempster–Shafer evidence theory is efficient to deal with uncertain information. One assumption of evidence theory is that the source of information should be independent when combined by Dempster’s rule for evidence combination. However, the assumption… read more here.
Keywords: pearson; correlation coefficient; evidence; coefficient ... See more keywords
Optimization of Clinical Decision Support Based on Pearson Correlation of Attributes
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DOI: 10.3233/978-1-61499-975-1-199
Abstract: Clinical decision support is very important especially in such a wide-spread disease as a coronary artery disease. A large variety of prediction methods can potentially solve the classification problem to support clinical decisions. However, not… read more here.
Keywords: optimization clinical; pearson; decision support; clinical decision ... See more keywords
An Adaptive Weighted Pearson Similarity Measurement Method for Load Curve Clustering
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DOI: 10.3390/en11092466
Abstract: Load curve data from advanced metering infrastructure record the consumers’ behavior. User consumption models help one understand a more intelligent power provisioning and clustering the load data is one of the popular approaches for building… read more here.
Keywords: pearson; similarity; curve data; load ... See more keywords