Correlation coefficients among variables in tax analysis
Construction of an Index by Maximization of the Sum of its Absolute Correlation Coefficients with the Constituent Variables
... the variables x j ; j = 1, ...other variables) is determined may be varied and usually has its own logic (Munda and Nardo, ...index variables such as literacy, life expectancy or income are weighted ...
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Correlation Coefficients and Semantic Textual Similarity
... Finally, the fraction of non-normal word vectors used in sentence-level tasks is consistent with the results reported for the word-level tasks in Table 1. However, we observe the following curious phe- nomenon for ...
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Spin-correlation coefficients and phase-shift analysis for p+3He elastic scattering
... 2 Theory 2.1 Interaction Models Two commonly-used models for the force between nucleons are AV18 [Wir95] and CD- Bonn [Mac01]. Both models use one-pion exchange to describe the long-range part of the force, and both ...
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Asymptotic expansions of the distributions of the polyserial correlation coefficients.
... POLYSERIAL CORRELATION COEFFICIENTS Haruhiko Ogasawara ∗ Asymptotic expansions of the distributions of the sample polyserial correlation co- efficients and associated parameter estimators are derived ...
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Pearson correlation coefficients and accuracy of path analysis used in maize breeding: A Critical Review
... this analysis had been attributed to Karl Pearson, the method was originally designed by Francis Galton, who defined the term correlation as to the following: “two variables are said to be co-related ...
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A Comparison of Correlation Coefficients via a Three-Step Bootstrap Approach
... two variables and would wish to represent this rela- tionship by a number or even using a statistical technique to make an ...a correlation coe ffi cient. The most common and well known correlation coe ...
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Confidence intervals for intraclass correlation coefficients in variance components models
... We propose two general, REML-based closed-form approaches to construct an approximate confidence interval on the ICC of interest for a continuous response. These methods are applicable to any variance components model ...
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A comparison of correlation coefficients via a three-step bootstrap approach.
... two variables and would wish to represent this rela- tionship by a number or even using a statistical technique to make an ...a correlation coe fficient. The most common and well known correlation ...
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We also de- termine the correlation coefficients of the neutrino fluxes for use in analysis of solar neutrino oscillations
... seismological variables and discuss the extent to which the the- oretical and observed values agree or ...the correlation coefficients between all the computed neu- trino fluxes are ...
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Correlation and Path Coefficients Analysis of Blackgram (Vigna mungo L)
... through analysis of correlation between ...significant. Among them, 22 associations were positively significant and the rest 16 were negatively ...positive correlation with yield plant -1 ...
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Fitting causal path models to correlation among survey variables
... A path analysis consists of specifying a causal path diagram, then calculating estimates of the path coefficients (which are then used to calculate theoretical correlations) and, finally[r] ...
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Proposing a global sensitivity analysis method for linear models in the presence of correlation among input variables
... To the best of the authors' knowledge, there is no deterministic SA method to address the interaction between factors in a comprehensive way (Morris's method is known to be global [1]). All of the SA methods, which ...
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Correlation and path coefficients analysis studies among yield and yield related traits of quality protein maize (QPM) inbred lines
... selection among the hybrids for grain yield and agronomic traits of ...coefficient analysis showed that plant height, ear height, number of nodes per plant, internode length, ear length, ear diameter, stalk ...
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Effect of Sample Size on Correlation and Regression Coefficients
... Size, Correlation Coefficient and Regression Coefficient INTRODUCTION The use of statistics in educational research has grown from analyzing the data by using percentages, means and standard deviations to more ...
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Correlation Analysis of Climatic Variables, Migration and Dengue Cases in Southeast Florida
... Completeness was more important for infrequently occurring diseases, which was crucial to understanding the occurrence accurately and to generate national and global comparisons among public health ...
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Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI
... connectivity among distributed cortical regions from fMRI ...the correlation coefficient is independent of ...the correlation coefficients among fMRI time courses are time-varying as ...
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Reliability assessment based on an adaptive response surface method considering correlation among random variables
... 3. The linear adaptive weighted response surface method 3.1. Improvement techniques In spite of the two issues discussed before, the merits of the basic RSM are remarkable, and perhaps that is the reason why it has been ...
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Wavelet coefficients cross-correlation analysis of times series
... Abstract. The discrete wavelet transform (DWT) is becoming very widely used in the analysis of discrete time stochastic processes. In this paper we explore the maximal overlap discrete wavelet transform (MODWT) ...
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Clustering coefficients for correlation networks
... a correlation-based network, which is among major representations of brain ...clustering coefficients tailored to correlation ...partial correlation or partial mutual information to ...
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Correlation in Random Variables
... Linear Estimation The task is to construct a rule for the prediction ˆ Y of Y based on an observation of X. If the random variables are correlated then this should yield a better result, on the average, than just ...
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