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dc.contributor.author | Pant, Mohan | en_US |
dc.contributor.author | Headrick, Todd C. | en_US |
dc.date.accessioned | 2014-09-03T20:11:44Z | |
dc.date.available | 2014-09-03T20:11:44Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Published in the Journal of Statistical and Econometric Methods 3(3): 23-63, 2014. | en_US |
dc.identifier.issn | 2241-0384 | |
dc.identifier.issn | 2241-0376 | |
dc.identifier.uri | http://hdl.handle.net/10106/24567 | |
dc.description.abstract | Burr Type VII, a one-parameter non-normal distribution, is among the less studied
distributions, especially, in the contexts of statistical modeling and simulation
studies. The main purpose of this study is to introduce a methodology for simulating
univariate and multivariate Burr Type VII distributions through the method of
𝐿-moments and 𝐿-correlations. The methodology can be applied in statistical
modeling of events in a variety of applied mathematical contexts and Monte Carlo
simulation studies. Numerical examples are provided to demonstrate that
𝐿-moment-based Burr Type VII distributions are superior to their conventional
moment-based analogs in terms of distribution fitting and estimation. Simulation
results presented in this study also demonstrate that the estimates of 𝐿-skew,
𝐿-kurtosis, and 𝐿-correlation are substantially superior to their conventional
product-moment based counterparts of skew, kurtosis, and Pearson correlation in
terms of relative bias and relative efficiency when distributions with greater
departure from normality are used. | |
dc.language.iso | en_US | en_US |
dc.publisher | Scienpress Ltd. | en_US |
dc.subject | Burr Type VII distributions | en_US |
dc.subject | Distributions | en_US |
dc.subject | Statistical modeling | en_US |
dc.subject | Simulation studies | en_US |
dc.subject | Applied mathematics | en_US |
dc.title | Simulating Burr Type VII Distributions through the Method of 𝐿-moments and 𝐿-correlations | en_US |
dc.type | Article | en_US |
dc.publisher.department | Department of Curriculum & Instruction, The University of Texas at Arlington | en_US |
dc.identifier.externalLink | http://www.scienpress.com/journal_focus.asp?main_id=68&Sub_id=IV&volid=155 | en_US |
dc.identifier.externalLinkDescription | The original publication is available at the journal homepage | en_US |
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