Additional Disaggregation and Correlation Analysis—Weighted
Weighted network analysis of high frequency cross-correlation measures
... frequency correlation matrices from small data ...Pearson correlation measure and thus capable of detecting subtle changes in correlation matrices with just a month of ...of correlation at ...
12
A new weighted rank correlation.
... Additional information: Use policy The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, ...
6
Correlation clustering in general weighted graphs
... © 2006 Elsevier B.V. All rights reserved. Keywords: Clustering; Partitioning; Approximation algorithms; Minimum multicut 1. Introduction Clustering objects into groups is a common task that arises in many applications ...
16
Correlation and inequality in weighted majority voting games
... weight vector and the power profile and to quantify the relative values of the powers among themselves by an appropriate inequality score. Under both of these quantifications, we prove that the Banzhaf and the Coleman ...
30
Correlation and inequality in weighted majority voting games
... weight vector and the power profile and to quantify the relative values of the powers among themselves by an appropriate inequality score. Under both of these quantifications, we prove that the Banzhaf and the Coleman ...
30
Disaggregation Comparison Analysis of Economic Time Series Data
... CONCLUSION The performance indicators of disaggregated estimates of private consumption expenditure estimates (for chow-lin, Fernandez, litterman) being a static model and santo silvacardoso being a dynamic model, annual ...
16
Energy disaggregation for SMEs using recurrence quantification analysis
... signals correspond to the black, blue, green, red and magenta clusters respectively. Next, the information ‘hot-spots’ for each device/device combination are determined using data density plots, which when combined form ...
18
The correlation between the high-intensity zone on a T2-weighted MRI and positive outcomes of discography: a meta-analysis
... quantitative analysis. Thus, we conducted the present meta-analysis including all published studies to precisely estimate the relationship between the HIZ and provocative ...
6
Identifying Outliers from Web Documents Using Reflective Weighted Correlation
... reflective weighted correlation analysis for extracting the relevant documents from the web by eliminating the redundant and irrelevant ...applying correlation. The method computes the ...
8
Correlation of Gleason scores with diffusion-weighted imaging findings of prostate cancer.
... imaging [34–38]. In this present study, ADC values show a decreasing trend with increasing Gleason scores. The calculated ADCs for cancer in the PZ were consistent with those previously reported studies [25, 39–41]. ...
6
Evaluation of mediastinal lymphadenopathy by diffusion weighted MRI; correlation with histopathological results
... Pearson’s correlation was calculated to assess the correlations between various study ...sitive correlation and (-) sign indicate negative ...curve analysis was used to identify optimal cutoff values ...
9
Development and Comparison of Two Immuno-disaggregation Based Bioassays for Cell Secretome Analysis
... inverse correlation between the degree of aggregation by antibody-conjugated MPs and the concentration of target protein in the cell secretome was ...inverse correlation, a standard curve was generated and ...
13
Correlation of Multiple Sclerosis Measures Derived from T2 Weighted, T1 Weighted, Magnetization Transfer, and Diffusion Tensor MR Imaging
... Statistical Analysis The univariate correlations between the different MR-de- rived measures and between the different MR-derived mea- sures and EDSS were assessed using the Spearman rank cor- relation ...
6
Identification and Localization of Prostate Cancer with Combined Use of T2 Weighted, Diffusion Weighted MRI and Proton MR Spectroscopy, Correlation with Histopathology
... team-mates. Analysis of data set: For tumour localization; Prostate was di- vided into 2 halves: Right (R) and Left (L), then to 3 parts: Apex(A)-transitional(T) zone (middle)-periphe- ral(P) zone(base), each part ...
14
Energy feedback enabled by load disaggregation
... load disaggregation from smart meter data can be instrumental in de- signing enhanced energy feedback, beyond that possible from an IHD ...load disaggregation together with additional data analytics ...
7
Mandatory Disaggregation Permissive Disaggregation Otherwise Excludable Employees Consequences of Using Disaggregation. How Disaggregation Works
... Employees who haven’t had a year of service or attained age 21 are excludable under the profit sharing portion of the plan, while employees who haven’t been employed six months are ex[r] ...
25
Current and future intensity-duration-frequency curves based on weighted ensemble GCMs and temporal disaggregation
... on weighted Global Circulation Models ( GCM s) and temporal disaggregation method to develop future IDF s under Representative Concentration Pathways (RCP) emission ...
13
Stochastic streamflow analysis and simulation using disaggregation model
... vi ABSTRAK Siri hidrologi sintetik adalah sangat bermanfaat dalam merancang pengurusan sumber air dan tujuan reka bentuk seperti menilai keputusan dan pengurusan bekalan air mentah serta reka bentuk sistem takungan. Data ...
23
Redshift determination through weighted phase correlation: a linearithmic implementation
... phase correlation and weighted phase correlation algorithms and further illustrates a comparison with the redshift predicted by the SDSS-III ...phase correlation algorithm are strongly ...
12
Absolute Correlation Weighted Naïve Bayes for Software Defect Prediction
... Because of the attribute does not have the same role, some of them more important than the others, one of the ways to develop Naïve Bayes is set a different weight value of each attributes. It is becoming the main idea ...
8