2013
DOI: 10.1007/s13571-013-0064-5
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On multivariate folded normal distribution

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Cited by 25 publications
(11 citation statements)
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“…First, we established some general results for the pdf, cdf and moments of multivariate folded distributions (MFD). These extend the results found in [20] for a FN distribution to any multivariate distribution, as well as the multivariate location-scale family. The proofs are given in Appendix A. Theorem 4 (pdf and cdf of a MFD).…”
Section: On Moments Of Multivariate Folded Esn Distributionssupporting
confidence: 86%
“…First, we established some general results for the pdf, cdf and moments of multivariate folded distributions (MFD). These extend the results found in [20] for a FN distribution to any multivariate distribution, as well as the multivariate location-scale family. The proofs are given in Appendix A. Theorem 4 (pdf and cdf of a MFD).…”
Section: On Moments Of Multivariate Folded Esn Distributionssupporting
confidence: 86%
“…The log-normal distribution cannot handle the large span of strong negative covariances observed in the data set. We could not find in the literature a natural multivariate version of another distribution that would accommodate arbitrary covariances as required to calibrate our model, although we explored variants of the beta, 62 gamma, 63 and folded normal 64 distributions.…”
Section: Discussionmentioning
confidence: 99%
“…folded Normal variables. Using the formula for the mean of the folded normal distribution (see Chakraborty and Chatterjee (2013) for instance), we get…”
Section: Discussionmentioning
confidence: 99%