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) under Type II censoring scheme and sampling scheme of Bartholomew (1963). We also develop interval estimates of the …
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. To overcome this shortcoming, we propose a sequential importance sampling, which is a modification of CMC. In the … proposed method. The sampling distribution of innovations is chosen differently from the estimated conditional distribution of … error of ES, and requires the less simulated samples. We propose how to find the near optimal sampling distribution. The …
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stepping out and multivariate sampling with hyperrectangles. In the general asymmetric case, we argue that symmetrizing the … with several sampling problems. …
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with respect to the bandwidth selection as well as the sampling frequency selection. The main finding is that the kernel … bandwidth is strongly related to the sampling frequency at the slow-time-time scale when applying a two-scale estimator, while … the fast-time-time scale sampling frequency is held fixed. The realized kernel density estimation enriches the literature …
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We examine the performance of asymptotic inference as well as bootstrap tests for the Alphabeta and Kobus-Miłoś family of inequality indices for ordered response data. We use Monte Carlo experiments to compare the empirical size and statistical power of asymptotic inference and the Studentized...
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