Profile Sufficiency

Authors

  • Abram Kagan University of Maryland, College Park, U.S.A.

DOI:

https://doi.org/10.17713/ajs.v35i2&3.360

Abstract

Let P = {P?1,?2 ; (?1; ?2) ? ?1 × ?2} be a family of probability measures on a measurable space (X;A) parameterized by a pair of abstract valued parameters ?1; ?2. A statistic T1 is called profile sufficient for ?1 if for any fixed ?2  ? ?2, T1 is sufficient for ?1.

For a dominated family P, a necessary and sufficient condition in the form of a factorization theorem is proved for T1 to be profile sufficient for ?1 and for a statistic T2 to be profile sufficient for ?2. The classical (Halmos - Savage) factorization theorem is its special case corresponding to T1 = T2.

If Ti is profile sufficient for ?i ; i = 1; 2 and a statistic S is independent of T1 and (separately) of T2 (but S is not assumed independent of (T1; T2)) for all ?1; ?2, then S is ancillary.

References

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Brown, L. D. (1985). Foundations of Exponential Families. Hayward, California: IMS Monograph Series.

Halmos, P. R., and Savage, J. L. (1949). Application of the Radon-Nikodym theorem to the theory of sufficient statistics. Annals of Mathematical Statistics, 20, 225-241.

Huzurbazar, V. S. (1976). Sufficient Statistics. New York: Marcel Dekker.

Kagan, A. M., Linnik, Y. V., and Rao, C. R. (1973). Characterization Problems in Mathematical Statistics. New York: J. Wiley.

Lehmann, E. L. (1986). Testing Statistical Hypotheses (2 ed.). New York: J. Wiley.

Rao, C. R. (1965). The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves. Biometrika, 52, 447-452.

Witting, H. (1985). Mathematische Statistik (Vol. I). Berlin: Teubner.

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Published

2016-04-03

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Articles

How to Cite

Profile Sufficiency. (2016). Austrian Journal of Statistics, 35(2&3), 121–130. https://doi.org/10.17713/ajs.v35i2&3.360