Sign Tests for Dependent Observations
The present paper introduces new sign tests for testing equality of conditional distributions of two (arbitrary) adapted processes as well as for testing conditionally symmetric martingale-difference assumptions. Our analysis is based on results that demonstrate randomization over ties in sign tests for equality of conditional distributions of two adapted sequences produces a stream of i. i. d. symmetric Bernoulli random variables. This reduces the problem of estimating the critical values of the tests to computing the quantiles or moments of Binomial or normal distributions. A similar proposition holds for randomization over zero values of three-valued random variables in a conditionally symmetric martyingale-difference sequence.
|Date of creation:||2006|
|Contact details of provider:|| Postal: 200 Littauer Center, Cambridge, MA 02138|
Web page: http://www.economics.harvard.edu/journals/hier
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:harver:2099. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.