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Persistent link: https://www.econbiz.de/10002877165
This paper develops a statistically unbiased and simple method for measuring the difference of independent empirical distributions estimated by bootstrapping or other simulation approaches. This complete combinatorial method is compared with other unbiased and biased methods that have been...
Persistent link: https://www.econbiz.de/10001630709
This paper develops a statistically unbiased and simple method for measuring the difference of independent empirical distributions estimated by bootstrapping or other simulation approaches. This complete combinatorial method is compared with other unbiased and biased methods that have been...
Persistent link: https://www.econbiz.de/10005320296
Persistent link: https://www.econbiz.de/10009653847
This paper presents a simple computational method for measuring the difference of independent empirical distributions estimated by bootstrapping or other resampling approaches. Using data from a field test of external scope in contingent valuation, this complete combinatorial method is compared...
Persistent link: https://www.econbiz.de/10009392860
This paper presents a simple computational method for measuring the difference of independent empirical distributions estimated by bootstrapping or other resampling approaches. Using data from a field test of external scope in contingent valuation, this complete combinatorial method is compared...
Persistent link: https://www.econbiz.de/10014061137