### Table 6. Relatively Efficient MUNIs (Candidate for Expansion).

1999

"... In PAGE 4: ...Tables Table 1: Model 12TE: Estimation Outcomes Table 2: Pooled Sample (37 MUNIs, 39 ENEL): SFM3 Estimation Outcomes Table 3: MUNIs and their ENEL Peers (SFM3): Winners/Losers Table 4: MUNI/ENEL Efficiency Comparison (SFM3): Statistics of Interest Table 5: Pooled Sample: Non-Parametric and Parametric Tests Table6... ..."

Cited by 1

### Table. 5 Returns to Scale, Firms Efficiencies, and Relative Efficiencies

### Table 5. Relative efficiency of the 57th percentile as an estimator of the population mean

1997

"... In PAGE 20: ... Table5 indicates that the distribution of quarterly price changes in New Zealand is sufficiently kurtotic that, even on average, the 57th percentile measures of price change is substantially more efficient as an estimator of the underlying or population mean rate of inflation than is the sample mean. In other words, achieving robustness in the estimate of core inflation is accompanied by greater efficiency rather than at the expense of efficiency.... ..."

Cited by 2

### Table 1 Time Series: Big Blocks Asymptotic Relative Efficiency

"... In PAGE 12: ... In an effort to maintain a baseline for comparison provided by the ML estimator, we kept the sample size (N) fixed in all the numerical calculations. Results obtained for an AR(1) time series of length 500 and various number of blocks (5, 10 and 50) are presented in Table1 (the columns labeled Theory .) In addition to the numerical calculations of the theoretical results, we also performed a simulation study.... In PAGE 12: ...) In addition to the numerical calculations of the theoretical results, we also performed a simulation study. These results, based on 1000 replications, are reported in Table1 under the columns labeled Sim. .... In PAGE 12: ...eported in Table 1 under the columns labeled Sim. . The results obtained from theoretical calculations and simulations agree, taking into consideration the simulation-induced error. A scrutiny of the results in Table1 leads to the conclusion that summariz- ing block information only through its mean is not statistically efficient (note... ..."

### Table I. Relative efficiency of QD-Janus and Sicstus Prolog

1993

Cited by 5

### Table 2: Empirical mean squared error and relative efficiency

2004

"... In PAGE 14: ... This is substantially higher than those of the transformation-retransformation median [Chakraborty, Chaudhuri and Oja 1998], the half-space median [Rousseeuw and Ruts, 1998] and the projection median [Zuo, 2000] at about 72%, 76% and 79%, re- spectively. Table2 shows that the DL-estimator is highly competitive with the optimal estimator (sample mean) at the normal model but performs much better when there is contamination. This is true for all sample sizes considered.... ..."

Cited by 5

### Table 3: Relative efficiency for logistic EPSE simulations, n = 200.

### TABLE II OPTIMAL FUTURE HORIZON opt AND RELATIVE EFFICIENCY

2007