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Summary:
Let $\{T_n\}$ be a sequence of statistics such that $E\left|T_n-0\right|^{2(q+1)}=O(n^{-(q+1)})$. Let $g=g(t,n)$ be a real function defined on $R\times N$. In the paper it is shown that under some assumptions concerning $g$, the expectation $Eg(T_n,n)$ (the variance var $g(T_n,n)$) may be expressed in terms of the derivatives of $g$ and the moments $E(T_n-0)^j, j=1, \ldots, q(j=1,\ldots, 2q)$, the remainder term being $O(n^{-(q+1/2}) (O(n^{-(q+2/2)}))$. Similar results for vector $T'_n$s are also obtained. Applications in reliability theory are given.
References:
[1] Ångström K. H.: An asymptotic expansion of bias in a non-linear function of a set of unbiased characteristics from a finite sample. Skandinavisk Aktuarietidskrift 1958, 40-46, MR 0107321
[2] Cramér H.: Mathematical methods of statistics. Princeton Univ. Press, Princeton 1946. MR 0016588
[3] Hodges, Jr. J. L., Lehmann E. L.: Deficiency. Ann. Math. Statist. 41 (1970), 783-801. DOI 10.1214/aoms/1177696959 | MR 0272092 | Zbl 0225.62063
[4] Jarník V.: Diferenciální počet II. NČSAV, Praha 1956.
[5] Lomnicki Z. A., Zaremba S. K.: On the estimation of autocorrelation in time series. Ann. Math. Statist. 28 (1957), 140-158. DOI 10.1214/aoms/1177707042 | MR 0088855 | Zbl 0081.14101
[6] Rao C. R.: Linear statistical inference and its applications. 2nd ed., Wiley, New York 1973. MR 0346957 | Zbl 0256.62002
[7] Riordan J.: Combinatorial identities. Wiley, New York 1968. MR 0231725 | Zbl 0194.00502
[8] Zacks S., Even M.: The efficiencies in small samples of the maximum likelihood and best unbiased estimators of reliability functions. Journ. Amer. Stat. Assoc. 61 (1966), 1033-1051. DOI 10.1080/01621459.1966.10482193 | MR 0207147 | Zbl 0151.23203
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