The correlation analysis results
Correlation of Simulated Results with Experimental Modal Analysis for an Asymmetric Structure
... FE is an idealistic numerical method which represents perfect joints, perfectly homogeneous material, no geometric irregularities and no change in material properties due to welds. But actual manufacturing constraints ...
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The correlation between polygraph results and nonverbal behaviour
... The data collection method that was applied during the observations of the participant’s movements were done manually, by applying a technique referred to by Cohn and Ekman (2004) as manual coding. Manual coding is a ...
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Fiberoptic Bronchoscopy: Correlation of Cytology and Biopsy Results
... the analysis of FB, obtaining CT-scan prior to FB, using biplane fluoroscopy during FB, variability in the experience of the bronchoscopists, and types of biopsy procedures performed during FB ...
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Canonical Correlation Analysis
... the correlation between the two variates. Through individual analysis, all three leadership styles are shown to reduce ...the results indicate that supportive leadership has a stronger relationship ...
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Life Estimation of HMC Package under Dynamic Load Condition and Correlation of Analysis and Test Results
... Abstract Electronic equipment’s are manufactured with many types of Electronic components which are largely available as leaded and leadless mounting, these components are mounted on the PCB with through-hole or surface ...
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Delineation of Campylobacter concisus Genomospecies by Amplified Fragment Length Polymorphism Analysis and Correlation of Results with Clinical Data
... comprising several genomospecies that may vary in their pathogenic potentials. We noted a difference in clinical associations of C. concisus strains according to their genomospecies designation as deter- mined by AFLP ...
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1 Correlation and Regression Analysis
... (y i − (a + bx i )) 2 In words: minimize the sum by choosing the appropriate parameters a and b. The resulting line is called the least square line or sample regression line. After the problem is stated it can be solved ...
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Horizontal Correlation Analysis on Exponentiation
... this analysis method requires only one execution of the exponentiation as the Big Mac attack, it is then not prevented by the usual exponent blinding ...power analysis techniques discussed in this article. ...
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Correlation and Regression Analysis: SPSS
... multiple regression are highly dependent on the context provided by the other variables in a model. If you get a small partial coefficient, that could mean that the predictor is not well associated with the dependent ...
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Unbiased Multivariate Correlation Analysis
... The results are shown in Figure 3. We did not include CMI here, as CMI is not normalized. Figure 3 shows that UMC has excellent interpretability, outputting 0 for inde- pendent variables as dimensionality ...
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Correlation Analysis of Intrusion Alerts
... 8.4 Summary To protect the privacy of intrusion alert data sets, in this chapter we propose three pertur- bation based schemes to anonymize sensitive attributes of alerts. Our techniques include injecting artificial ...
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Horizontal Correlation Analysis on Exponentiation
... this analysis method requires only one execution of the exponentiation as the Big Mac attack, it is then not prevented by the usual exponent blinding ...power analysis techniques discussed in this article. ...
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Bayesian Canonical Correlation Analysis
... picted in the chromosomal order (x-axis), with BIBFA (red) and the window-based com- parison method of pint (blue). Since the gene detection is based on the ranks of the genes, the two weight vectors have here been ...
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Sufficient Canonical Correlation Analysis
... Canonical Correlation Analysis Yiwen Guo, Xiaoqing Ding, Fellow, IEEE, Changsong Liu, Member, IEEE, and Jing-Hao Xue Abstract—Canonical correlation analysis (CCA) is an effective way to find ...
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Sweep frequency response analysis (SFRA) results interpretation using cross correlation coefficient method for distribution transformer
... Response Analysis (SFRA) to measure and evaluate the condition of the transformer whether it is healthy or ...SFRA results is used based on worldwide research finding as a ...Response Analysis for ...
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Enhancing the Search Results through Web Structure Mining Using Frequent Pattern Analysis and Linear Correlation Method
... pattern analysis and linear correlation ...pattern analysis . Then statistical algorithm based on linear correlation is applied between the parent document and the remaining input document to ...
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Correlation effects in the trapping problem: general approach and rigorous results
... In the present contribution, we pursue a systematic approach to this prob- lem. Analysis of the qualitative influence of correlations is of our main concern, complemented whenever possible by the calculation of ...
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Challenges in the Analysis of Data with Clustering or Correlation
... The continuous extension, distributional transform with curvature correction, and com- posite likelihood with curvature correction were evaluated in three settings. Those set- tings are a spatial copula model called ...
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Canonical Correlation Analysis for Longitudinal Data
... In this dissertation, we provide theory and application of CCA to repeatedly observed (over a time period) data on two sets of variables. The data here look like data on a multivariate time series, but the interest is to ...
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Sparse Kernel Canonical Correlation Analysis
... Empirical results show that SKCCA not only performs well in computing sparse dual transformations, but also alleviates the over-fitting problem of kernel ...
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