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- W2019970508 abstract "REGRES allows a range of regression equations to be calculated for paired sets of data values in which both variables are subject to error (i.e. neither is the “independent” variable). Nonparametric regressions, based on medians of all possible pairwise slopes and intercepts, are treated in detail. Estimated slopes and intercepts are output, along with confidence limits, Spearman and Kendall rank correlation coefficients. Outliers can be rejected with user-determined stringency. Parametric regressions can be calculated for any value of λ (the ratio of the variances of the random errors for y and x)—including: (1) major axis (λ = 1); (2) reduced major axis (λ = variance of y/variance of x); (3) Y on X λ = infinity; or (4) X on Y (λ = 0) solutions. Pearson linear correlation coefficients also are output. REGRES provides an alternative to conventional isochron assessment techniques where bivariate normal errors cannot be assumed, or weighting methods are inappropriate." @default.
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- W2019970508 title "REGRES: A FORTRAN-77 program to calculate nonparametric and “structural” parametric solutions to bivariate regression equations" @default.
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