data correlation
61Multiple correlation — In statistics, multiple correlation is a linear relationship among more than two variables. It is measured by the coefficient of multiple determination, denoted as R2, which is a measure of the fit of a linear regression. A regression s R2 falls… …
62Cross-Correlation — A statistical measure timing the movements and proximity of alignment between two different information sets of a series of information. Cross correlation is generally used when measuring information between two different time series. The range… …
63Kendall rank correlation coefficient — a rank correlation coefficient used when both variables represent ordinal data in a limited number of grades, such as the categories none, mild, moderate, and severe, so that multiple samples can be assigned to each grade; called also Kendall tau …
64Spearman rank correlation coefficient — a rank correlation coefficient used when both variables represent ordinal data in an unlimited ranking, such as class standing, so that each sample is assigned a unique rank. Symbol rs. Called also Spearman rho. Cf. Kendall rank correlation c …
65Scientific Data Systems — Scientific Data Systems, or SDS, was an American computer company founded in September 1961 by Max Palevsky, a veteran of Packard Bell and Bendix, along with eleven other computer scientists. SDS was an early adopter of integrated circuits in… …
66Polity data series — The Polity data series is a widely used data series in political science research. [Casper, Gretchen, and Claudiu Tufis. 2003. “Correlation Versus Interchangeability: the Limited Robustness of Empirical Finding on Democracy Using Highly… …
67coefficient of correlation — /kəυɪˌfɪʃ(ə)nt əv kɒrə leɪʃ(ə)n/ noun a measurement of correlation or relationship between two sets of data on a continuum from –1 to +1 …
68Spearman Rank Correlation Coefficient — a statistical measure of the degree to which two sets of data are correlated according to the formula: Rs = (1 6x ∑d2) / (n3 n) where d is the difference between the rank values of the data sets. While it can show how strongly data is… …
69Analysis of categorical data — These are statistical procedures which can be used for the analysis of categorical data:* regression * analysis of variance * linear modeling * log linear modeling * logistic regression * repeated measures analysis * simple correspondence… …
70track correlation — Correlating track information for identification purposes using all available data …
