Comparing the Accuracy of the Minimum‐Variance Grid Method to Multiple Regression in Appraised Value Estimates
研究了销售比较法中两种常用技术：调整网格法和多元回归法，证明最小方差网格估计量比多元回归估计量标准差更小，并推导了其置信区间和假设检验方法。
The adjustment‐grid method and the multiple‐regression method are the two most frequently used techniques in the sales comparison approach. This paper demonstrates that although both techniques provide unbiased estimators, the minimum‐variance grid estimator should result in a smaller standard deviation than the multiple‐regression estimator. A technique is also derived to estimate the confidence interval or to perform hypothesis tests for the minimum‐variance grid estimator.