Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Govind S. Mudholkar"'
Publikováno v:
Commun Stat Theory Methods
The log-normal distribution is widely used to model non-negative data in many areas of applied research. In this paper, we introduce and study a family of distributions with non-negative reals as support and termed the log-epsilon-skew normal (LESN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2a7d2f2e11793265827eb2c30349da
https://pubmed.ncbi.nlm.nih.gov/32913381
https://pubmed.ncbi.nlm.nih.gov/32913381
It is well known that Student’s t test as well as the ANOVA F test are reasonably validity-robust with respect to moderate departures from normality; see e.g. Mudholkar, Mudholkar and Srivastava (1991), Marchetti, Mudholkar and Mudholkar (1998). Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d9a47686164996c653a9604e21d2c8
https://doi.org/10.1201/9780203493212-13
https://doi.org/10.1201/9780203493212-13
Publikováno v:
Sequential Analysis. 35:226-237
Scientific data, as a sequential or a simple random sample, often indicate a unimodal, right-skewed population. For such data, the ubiquitous symmetry assumption and the Gaussian model are inappropriate and in case of high skewness, even corrections
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02b894953fa7cc62b81c224cec5e71c
https://doi.org/10.1080/07474946.2016.1165538
https://doi.org/10.1080/07474946.2016.1165538
Publikováno v:
Statistics & Probability Letters. 107:1-10
Scientific data are often nonnegative, right skewed and unimodal. For such data, the Mode-Centric M-Gaussian distribution is a basic model. It is R-symmetric and has mode as the centrality parameter. It is variously analogous enough to the Gaussian d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94e1c6446bf6dba5c9af1c16621088a5
https://doi.org/10.1016/j.spl.2015.07.016
https://doi.org/10.1016/j.spl.2015.07.016
Publikováno v:
Mathematical and Statistical Applications in Life Sciences and Engineering ISBN: 9789811053696
The mode-centric M-Gaussian distribution, which may be considered a fraternal twin of the Gaussian distribution, is an attractive alternative for modeling non-negative, unimodal data, which are often right-skewed. In this paper, we aim to expand upon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d6dc74b4883efdfef49bff902f3c6e
https://doi.org/10.1007/978-981-10-5370-2_6
https://doi.org/10.1007/978-981-10-5370-2_6
Publikováno v:
Mathematical and Statistical Applications in Life Sciences and Engineering ISBN: 9789811053696
The family of distributions introduced by [34] is the best known, best understood, most extensively investigated, and commonly employed model used for lifetimes data analysis. A variety of software packages are available to simplify its use. Yet, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fd5e98a18f5972a459c3e8e8c02553f
https://doi.org/10.1007/978-981-10-5370-2_5
https://doi.org/10.1007/978-981-10-5370-2_5
Publikováno v:
Journal of Statistical Planning and Inference. 140:2904-2917
This article consists of a review and some remarks on the scope, common models, methods, their limitations and implications for the analysis of lifetime data. Also a new approach based upon data-transformations analogous to that of Box and Cox (1964)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2495ac556db1afad11e8874ef0b35bbe
https://doi.org/10.1016/j.jspi.2010.03.014
https://doi.org/10.1016/j.jspi.2010.03.014
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 466:2079-2096
The symmetric distributions on the real line and their multi-variate extensions play a central role in statistical theory and many of its applications. Furthermore, data in practice often consist of non-negative measurements. Reciprocally symmetric d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7913cb6b0231b986ab86feb211122b3c
https://doi.org/10.1098/rspa.2009.0482
https://doi.org/10.1098/rspa.2009.0482
Publikováno v:
Communications in Statistics - Simulation and Computation. 39:45-67
The history of regression analysis when response and explanatory variables are subject to error dates back to Eisenhart (1939) and Wald (1940). Now the subject is discussed in the robust regression framework involving “leverage” points in additio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa90820d952d3916705734a82bc8052c
https://doi.org/10.1080/03610910903308423
https://doi.org/10.1080/03610910903308423
Publikováno v:
Statistical Methodology. 6:622-633
All statistical methods involve basic model assumptions, which if violated render results of the analysis dubious. A solution to such a contingency is to seek an appropriate model or to modify the customary model by introducing additional parameters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49f2be24aa6dcaeed3a69aa8b5936d27
https://doi.org/10.1016/j.stamet.2009.07.003
https://doi.org/10.1016/j.stamet.2009.07.003