Abstract
Abstract Mathematical properties are demonstrated for lower integral limits of the bivariate normal upper cumulative distribution function. Equidistributional contours are defined as the functional relationship between these lower limits. These contours are shown to shift upward as the correlation coefficient increases or the cumulative distribution value decreases, holding other parameters constant. They are also shown to be strictly concave over the range of argument values.
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