Large sample nonparametric rejection of outlying observations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/BF02883943.pdf
Reference4 articles.
1. John E. Walsh, “Some nonparametric tests of whether the largest observation of a set are too large or too small,”Ann. Math. Stat., Vol. 21 (1950), pp. 583–592.
2. John E. Walsh, “Correction to ‘Some nonparametric tests of whether the largest observations of a set are too large or two small’,”Ann. Math. Stat., Vol. 24 (1953), pp. 134–135.
3. F. N. David and N. L. Johnson, “Statistical treatment of censored data. Part I. Fundamental Formulae,”Biometrika, Vol. 41 (1954), pp. 228–240.
4. Harald Cramér,Mathematical Methods of Statistics, Princeton University Press, 1946, pp. 370–372.
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