On improving convergence rates for nonnegative kernel failure-rate function estimators

E. D. McCune and S. K. McCune

Statistics & Probability Letters, 1987, vol. 6, issue 2, 71-76

Abstract: The generalized jackknife is employed to reduce the bias in the logarithm of the kernel estimator of the failure-rate function. The estimator obtained has the desirable property of always being nonnegative with an improved rate of convergence of the bias and mean squared error.

Keywords: failure-rate; function; estimation; kernel; estimate; density; estimation; generalized; jackknife (search for similar items in EconPapers)
Date: 1987
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