Preferred by "All" and Preferred by "Most" Decision Makers: Almost Stochastic Dominance

By M. Leshno, Haim Levy. Management Sciences, 2002

338 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Stochastic dominance analysis of Asian hedge funds (2008, methodology): “In order to minimize the Type II error and to accommodate the effect of almost SD (Leshno and Levy, 2002), we follow Gasbarro et al. (2007) to use a conservative 5% cut-off point for the proportion of test statistics in statistical inference.”
Stochastic Dominance Analysis of iShares (2007, methodology): “As we use a conservative 10% cutoff point for the proportion of t-statistics to minimize type II error of finding dominance, and to avoid Almost Stochastic Dominance (Leshno and Levy 2002), 2% dominance implies that we cannot conclude first-order dominance of EWP over EWJ over the entire period.”
An Optimal Transportation Approach for Assessing Almost Stochastic Order (2017, background): “…schemes. the However, rejection of F st G, on the basis of two data samples is an ill posed statistical problem: As showed in [7] and noted in [16], [12], or [4], the ‘non-data test’, namely the test which rejects with probability α , regardless the data, is uniformly most powerful for…”