Abstract
This paper presents two Bayesian alternatives to the chi-squared test for determining whether a pair of categorical data sets were generated from the same underlying distribution. It then discusses such alternatives for the Kolmogorov- Smirnov test, which is often used when the data sets consist of real numbers.
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© 1996 Springer Science+Business Media Dordrecht
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Wolpert, D.H. (1996). Determining Whether Two Data Sets are from the Same Distribution. In: Hanson, K.M., Silver, R.N. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5430-7_32
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DOI: https://doi.org/10.1007/978-94-011-5430-7_32
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6284-8
Online ISBN: 978-94-011-5430-7
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