Estimating the probability density function of a shift parameter
Point and Interval Estimation
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The kernel estimators of a prior density function of a shift parameter are proposed. The upper and lower bounds for the mean square error of these estimates are evaluated.
KeywordsDensity Function Probability Density Lower Bound Probability Density Function Kernel Estimator
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- 3.V. B. Ilyushin, “Statistical estimate for the component of convolution of probability distribution,”Integral and Measure: collection of Scientific Works by Different Institutes [in Russian], Kuibyshev Univ. Press, Kuibyshev, 30–34 (1982).Google Scholar
- 7.E. A. Nadaraya,Nonparametric Estimation of Probability Densities and Regression Curves, Kluwer Academic Publ. Group, Dordrecht (1983).Google Scholar
- 8.M. V. Fedoriuk,Saddle-Point Method [in Russian], Nauka, Moscow (1977).Google Scholar
© Plenum Publishing Corporation 1995