In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outcome of the test will depend on the sequence of random numbers used to generate the bootstrap samples, and it necessarily results in some loss of power. We examine the extent of this power loss and propose a simple pretest pro-cedure for choosing the number of bootstrap samples so as to minimize experimental randomness. Simulation experiments suggest that this procedure will work very well in practice
We first propose two procedures for estimating the rejection probabilities of bootstrap tests in Mon...
MSc (Statistics), North-West University, Potchefstroom CampusIn this study we investigate the finite...
N-of-1 study designs involve the collection and analyses of repeated measures data from an individua...
In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outc...
In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outc...
Bootstrap tests are tests for which the signicance level is calculated using some variant of the boo...
Bootstrap tests are tests for which the significance level is calculated using some variant of the b...
The construction of bootstrap hypothesis tests can differ from that of bootstrap confidence interval...
In this paper we discuss three methods to apply the bootstrap correctly to hypothesis testing. For e...
We introduce the concept of the bootstrap discrepancy, which measures the difference in rejection pr...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
The parametric bootstrap P-value based on a test statistic T is the exact tail probability of the ob...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
N-of-1 study designs involve the collection and analysis of repeated measures data from an individua...
We first propose two procedures for estimating the rejection probabilities of bootstrap tests in Mon...
MSc (Statistics), North-West University, Potchefstroom CampusIn this study we investigate the finite...
N-of-1 study designs involve the collection and analyses of repeated measures data from an individua...
In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outc...
In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outc...
Bootstrap tests are tests for which the signicance level is calculated using some variant of the boo...
Bootstrap tests are tests for which the significance level is calculated using some variant of the b...
The construction of bootstrap hypothesis tests can differ from that of bootstrap confidence interval...
In this paper we discuss three methods to apply the bootstrap correctly to hypothesis testing. For e...
We introduce the concept of the bootstrap discrepancy, which measures the difference in rejection pr...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
The parametric bootstrap P-value based on a test statistic T is the exact tail probability of the ob...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
N-of-1 study designs involve the collection and analysis of repeated measures data from an individua...
We first propose two procedures for estimating the rejection probabilities of bootstrap tests in Mon...
MSc (Statistics), North-West University, Potchefstroom CampusIn this study we investigate the finite...
N-of-1 study designs involve the collection and analyses of repeated measures data from an individua...