A bootstrap test on the number of modes of a density
In this chapter we consider another application of bootstrap in nonparametric density estimation. We present results about the (random) number of modes of a kernel density estimate. These results are applied in the asymptotic treatment of bootstrap tests on the number of modes of a density. The material of this chapter is also contained in Mammen, Marron, and Fisher (1992).
KeywordsNull Hypothesis Kernel Density Estimate Local Extreme Kernel Estimator Bootstrap Test
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