A simple procedure is suggested for obtaining estimates of the concentration parameter of Fisher's distribution which are robust against outlying observations. Two specific estimators are suggested and examples given of their application.
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Biometrika Trust is collaborating with JSTOR to digitize, preserve and extend access to Biometrika. SUMMARY Statistical methods that give detailed descriptions of how populations differ are considered. These descriptions are in terms of a response function A(x) with the property that X + A(X) has the same distribution as Y. The methods are based on simultaneous confidence bands for the response function computed from independent samples from the two populations. Both general and parametric models are considered and comparisons between the various methods are made.
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