Imperial College London
Alternate

ProfessorRustamIbragimov

Business School

Professor of Finance and Econometrics
 
 
 
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Contact

 

+44 (0)20 7594 9344i.rustam Website CV

 
 
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Location

 

40953 Prince's GateSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Brown:2019:10.1016/j.ecosta.2018.11.001,
author = {Brown, D and Ibragimov, R},
doi = {10.1016/j.ecosta.2018.11.001},
journal = {Econometrics and Statistics},
pages = {1--8},
title = {Sign tests for dependent observations},
url = {http://dx.doi.org/10.1016/j.ecosta.2018.11.001},
volume = {10},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - New sign tests for testing equality of conditional distributions of two (arbitrary) adapted processes as well as for testing conditionally symmetric martingale-difference assumptions are introduced. The analysis is based on results that demonstrate that 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 evaluating the critical values of the tests to computing the quantiles or moments of Binomial or normal distributions. Similar properties also hold under randomization over zero values of signs of a conditionally symmetric martingale-difference sequence.
AU  - Brown,D
AU  - Ibragimov,R
DO  - 10.1016/j.ecosta.2018.11.001
EP  - 8
PY  - 2019///
SN  - 2452-3062
SP  - 1
TI  - Sign tests for dependent observations
T2  - Econometrics and Statistics
UR  - http://dx.doi.org/10.1016/j.ecosta.2018.11.001
UR  - http://hdl.handle.net/10044/1/67722
VL  - 10
ER  -
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