"Multivariate Ordinal Regression Models: An Anal- ysis of Corporate Credit Ratings." Research Report Series / Department of Statistics and Mathematics 132, WU Vienna University of Economics and Business, Vienna. URL http://epub.wu.ac.at/5389/.Hirk, R., Hornik, K., Vana, L., 2018. ...
Hirk, R., Hornik, K., Vana, L., 2018. Multivariate ordinal regression models: an analysis of corporate credit ratings. Statistical Methods & Applications doi:doi.org/10.1007/s10260-018-00437-7.Hirk R, Hornik K, Vana L (2017). "Multivariate Ordinal Regression Models: An Anal- ysis of ...
(Y 1 , . . . , Y K | z) which have, hopefully, interpretation in terms of economic theory. Models of this kind have, essentially, two components: 1 If data involve observations taken at different points in time, the model described in this paper can be seen as a static panel ...
logisticregressionmodelswhichdonothaveamarginallogisticstructurefortheindividualoutcomes.Inaddition,difficultiesarisewhensimplenon-informativepriorsarechosenforthecovarianceparameters.Motivatedbytheseproblems,weproposeanewtypeofmultivariatelogisticdistributionthatcanbeusedtoconstructalikelihoodformultivariatelogisticregression...
Nominal or ordinal Logistic regression Continuous ANCOVA Time-to-event Cox hazards model To summarize, important skills from this section include the ability to identify types of variables and data, a grasp of descriptive statistics, the knowledge of power calculation elements, and an understanding of...
Stephen Milborrow. Derived from mda:mars by Trevor Hastie and Rob Tibshirani. (2012). earth: Multivariate Adaptive Regression Spline Models. R package version 3.2-3.http://CRAN.R-project.org/package=earth Friedman, J. (1993). Fast MARS. Stanford University Department of Statistics, Technical ...
Tobit models (also called as “censored regression models” or classified as “sample selection models” in microeconometrics) have been widely applied to microeconometric problems with censored outcomes. However, due to their linear parametric settings and restrictive normality assumptions, the traditional...
摘要: This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises...
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan - paul-buerkner/brms
Widiger TASimonsen E Alternative dimensional models of personality disorder: finding a common ground. J Personal Disord 2005;19 (2) 110- 130PubMedGoogle Scholar 59. Widiger TASamuel DB Diagnostic categories or dimensions: a question for the Diagnostic and Statistical Manual of Mental Disorders–...