CONFIDENCE-INTERVALS FOR L(K,P,THETA) DISTANCES

Distance predicting functions have a number of uses when objects in sp ace can be represented as points. When a predicted distance between tw o points is determined by a distance predicting function, the unknown distance between the points may be overestimated or underestimated due to the statistical nature of distance predicting functions. Since an analyst may desire a measure of the accuracy of the predicted distance , we have developed a procedure for calculating confidence intervals f or unknown. distances. The procedure utilizes information that is prov ided by the sample Pearson coefficients.