On Robust Bivariate and Multivariate Correlation Coefficient
نویسندگان
چکیده
منابع مشابه
Multivariate Longitudinal Analysis with Bivariate Correlation Test
In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using the EM algorithm, we suggest more general expressions of the model's parameters estimators. These estimators can be used in the framework of the mu...
متن کاملRobust Estimation of a Correlation Coefficient for Ε-contaminated Bivariate Normal Distributions
Robust estimators of a correlation coefficient based on: (i) direct robust counterparts of the sample correlation coefficient, (ii) nonparametric measures of correlation, (iii) robust regression, (iv) robust estimation of the variances of principal variables, (v) stable parameter estimation, and (vi) the preliminary rejection of outliers from the data with the subsequent application of the samp...
متن کاملRobust Image Registration Using Selective Correlation Coefficient
\Ve propose a new method for robust image registrat,ion called 'Selective Correlation Coefficient (SCC)' in order to search images under illconditioned illuminat,ion or partial occlusion. A correlation mask image is generated for selecting pixels of a image before matching. The mask image can be derived from a binary-coded increment sign image defined from any object image and the template imag...
متن کاملBivariate and Multivariate Functions
For functions depending on two variables, we automatically construct tri6 angulations subject to the condition that the continuous, piecewise linear approxi7 mation, underor overestimation never deviates more than a given δ -tolerance from 8 the original function over a given domain. This tolerance is ensured by solving sub9 problems over each triangle to global optimality. The continuous, piec...
متن کاملTest of the Correlation Coefficient in Bivariate Normal Populations Using Ranked Set Sampling
Ranked Set Sampling (RSS) is a statistical method for data collection that leads to more efficient estimators than competitors based on Simple Random Sampling (SRS). We consider testing the correlation coefficient of bivariate normal distribution based on Bivariate RSS (BVRSS). Under one-sided and two-sided alternatives, we show that the new tests based on BVRSS are more powerful than the usua...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH
سال: 2019
ISSN: 0424-267X,1842-3264
DOI: 10.24818/18423264/53.2.19.13