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Chapter 6 (cont.) Relative Efficiency of Estimators. Compare the variances of this chapter’s 3 estimators of the population mean (ratio, regression, difference). Compare these variances to that of the sample mean from a SRS. But First, Need to Address Bias.
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Chapter 6 (cont.)Relative Efficiency of Estimators Compare the variances of this chapter’s 3 estimators of the population mean (ratio, regression, difference) Compare these variances to that of the sample mean from a SRS
But First, Need to Address Bias • Generally, it’s inappropriate to compare variances of biased estimators • The bias becomes negligible if the relationship between x and y falls along a straight line through the origin (next slide)
Relative Efficiency • How do we tell which one is best for a particular sampling situation? • Cannot always answer definitively, but there are some guidelines. • One such guideline: relative efficiency.
Relative Efficiency-5 • In ratio estimation, the y values are frequently updated x values (for example, 1st quarter earnings this year compared to 1st quarter earnings last year). • In such situations cv(y) is frequently very close in value to cv(x)
Relative Efficiency-7 Thus, is always more efficient than as an estimator of . (However, can have serious bias problems unless the regression of y on x is truly linear.
Relative Efficiency-9 So the regression estimator is more efficient than the ratio estimator unless , in which case they are equivalent.
Relative Efficiency-11 If the variation in x and y values is about the same, then the difference estimator is more efficient than when the correlation between x and y is greater than ½.
Relative Efficiency-12 The regression estimator will be equivalent to the difference estimator when b1 = 1. Otherwise, the regression estimator will be more efficient than the difference estimator.