An omnibus test for the two-sample problem using the empirical characteristic function
By T. W. Epps, Kenneth J. Singleton. 1986
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- Kacper P. Chwialkowski
- Aaditya Ramdas
- Dino Sejdinovic
- Arthur Gretton
- Krikamol Muandet
- Kenji Fukumizu
- Bharath K. Sriperumbudur
- Bernhard Schölkopf
Citations in the corpus
- Fast Two-Sample Testing with Analytic Representations of Probability Measures (2015, background): “In the statistical testing literature, the quantity d',J(P,Q) predates the MMD by a considerable time, and was studied in [13, 14, 8], and more recently revisited in [33].”
- Giving to Secular Causes by the Religious and Nonreligious: An Experimental Test of the Responsiveness of Giving to Subsidies (2004, background): “The Epps-Singleton test is a nonparametric test designed to distinguish between different distributions (see Epps & Singleton, 1986) and is especially useful for discrete data such as ours.”
- Volunteers and Pseudo-Volunteers: The Effect of Recruitment Method in Dictator Experiments (2000, unknown): “We next consider an Epps-Singleton test of the hypothesis that there is no difference in the overall distribution of contributions made by pseudo-volunteer and volunteer subjects for each case (see Epps and Singleton, 1986 ).”
- Tests for the multivariate k-sample problem based on the empirical characteristic function (2008, methodology): “The objective of the present paper is to expand on the univariate procedures suggested by Epps and Singleton [8] and Meintanis [9] in an effort to consider the general non-parametric many-sample problem for multivariate populations.”
- Sex Differences and Statistical Stereotyping in Attitudes Toward Financial Risk (2002, methodology): “In pairwise Epps–Singleton tests (Epps & Singleton, 1986; Forsythe, Horowitz, Savin, & Sefton, 1994), we tested for treatment differences within each sex considered separately and were unable to reject the null hypothesis that either men’s or women’s choices were drawn from the same distribution…”
- Nonparametric Testing of Distributions—the Epps–Singleton Two-Sample Test using the Empirical Characteristic Function (2009, methodology): “There must be exactly two different groups in the specified sample. t1(real) specifies the parameter t1 as defined by Epps and Singleton (1986).”
- A test for the two-sample problem based on empirical characteristic functions (2008, background): “Epps and Singleton (1986) have proposed a test for H0 whose test statistic is a quadratic form in differences between the e.c.f. of the two samples evaluated on a finite set {t1, t2, . . . , tJ }.”
- Evidence on learning in coordination games (2007, methodology): “In order to test whether the sample distribution functions in period 1 and period 21 are derived from the same population, we used the Epps and Singleton (1986) characteristic function (CF) test, which is based on the Fourier transform of the sample distribution function.”
- Testing equality of functions under monotonicity constraints (2012, background): “Another recent approach consist of comparing empirical characteristic functions, e.g. see Hušková and Meintanis (2008), who extended the univariate two-sample tests from Epps and Singleton (1986) and Meintanis (2005) to the multivariate k-sample setting, k ≥ 2.”
- Chivalry and Solidarity in Ultimatum Games (2001, unknown): “See, for example, Gill (1986); Moely et al.”
- The development of interpersonal strategy: Autism, theory-of-mind, cooperation and fairness (2006, methodology): “We used the powerful Epps and Singleton (1986) test to determine if these two samples of discrete data were likely to be from identical populations.”
- Dictator games: a meta study (2011, methodology): “9 On methodology see (Epps and Singleton 1986; Goerg and Kaiser 2009).”