Mirror bootstrap method for testing hypotheses of one mean

Preprint English OPEN
Varvak, Anna;
(2012)
  • Subject: Statistics - Methodology | 62G10

The general philosophy for bootstrap or permutation methods for testing hypotheses is to simulate the variation of the test statistic by generating the sampling distribution which assumes both that the null hypothesis is true, and that the data in the sample is somehow ... View more
  • References (3)

    [1] Efron, Bradley and Tibshirany, Robert (1994). An introduction to the Bootstrap, Chapman & Hall/CRC.

    [2] Hoaglin, D.C. (1985). Summarizing shape numerically: The g-and-h distribution. In D. Hoaglin, F. Mosteller, & J. Tukey (Eds.), Exploring data tables trends and shapes (pp. 461-515). New York, NY: Wiley.

    [3] Wilcox, Rand (2012). Introduction to robust estimation and hypothesis testing, 3rd edition, Elsevier.

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