منابع مشابه
On the Maximum Correlation Coefficient∗
For an arbitrary random vector (X,Y ) and an independent random variable Z it is shown that the maximum correlation coefficient between X and Y + λZ as a function of λ is lower semicontinuous everywhere and continuous at zero where it attains its maximum. If, moreover, Z is in the class of self-decomposable random variables, then the maximal correlation coefficient is right continuous, nonincre...
متن کاملRemarks on the Maximum Correlation Coefficient
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متن کاملSerial Correlation Coefficient
In this paper, we investigate the relation between two variables where the one is measured with the ratio or interval scale and the other with the nominal. In this cases, we use from serial correlation coefficient. Computation of some serial coefficient such as biserial and point-biserial coefficient is carried out with some examples and R program.
متن کاملThe Correlation Coefficient: An Overview
Correlation and regression are different, but not mutually exclusive, techniques. Roughly, regression is used for prediction (which does not extrapolate beyond the data used in the analysis) whereas correlation is used to determine the degree of association. There situations in which the x variable is not fixed or readily chosen by the experimenter, but instead is a random covariate to the y va...
متن کاملThe Kendall Rank Correlation Coefficient
The Kendall (1955) rank correlation coefficient evaluates the degree of similarity between two sets of ranks given to a same set of objects. This coefficient depends upon the number of inversions of pairs of objects which would be needed to transform one rank order into the other. In order to do so, each rank order is represented by the set of all pairs of objects (e.g., [a,b] and [b,a] are the...
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ژورنال
عنوان ژورنال: Теория вероятностей и ее применения
سال: 2004
ISSN: 0040-361X
DOI: 10.4213/tvp246