Summary
Definitions of different strengths are given to the notion of ‘a positively biased random variable’. This notion is related to that of ‘a stochastically larger component of a two-dimensional random vector’, which was introduced previously by the authors. Properties of common rank tests of symmetry about zero against our specification of alternatives are studied in detail. The positive biasedness is extended to ‘positively more biased’. Test of symmetry of a two-dimensional random vector is also referred to.
Similar content being viewed by others
References
Hájek, J., Šidák, Z. (1967).Theory of Rank Test, Academic Press, New York.
Lehmann, E. L. (1959).Testing Statistical Hypotheses, John Wiley, New York.
Savage, I. R. (1959). Contributions to the theory of rank order statistics—the one sample case,Ann. Math. Statist.,30, 1018–1023.
Yanagimoto, T. and Okamoto, M. (1969). Partial orderings of permutations and monotonicity of a rank correlation statistic,Ann. Inst. Statist. Math.,21, 489–506.
Yanagimoto, T. and Sibuya, M. (1972). Stochastically larger component of a random vector,Ann. Inst. Statist. Math.,24, 259–269.
Author information
Authors and Affiliations
About this article
Cite this article
Yanagimoto, T., Sibuya, M. Test of symmetry of a one-dimensional distribution against positive biasedness. Ann Inst Stat Math 24, 423–434 (1972). https://doi.org/10.1007/BF02479771
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02479771