FactoMineR: AnRPackage for Multivariate Analysis

Multiple Factor Analysis for Contingency Tables in the FactoMineR Package

Abstract We present multiple factor analysis for contingency tables (MFACT) and its implementation in the FactoMineR package. This method, through an option of the MFA function, allows us to deal with multiple contingency or frequency tables, in addition to the categorical and quantitative multiple tables already considered in previous versions of the package. Thanks to this revised function, e...

New Functions for Multivariate Analysis

submission and registration will start inDecember 2007.We hope to meet you in Dortmund! The organizing committee:Uwe Ligges, Achim Zeileis, Claus Weihs, Gerd Kopp,Friedrich Leisch, and Torsten [email protected] R NewsISSN 1609-3631 Vol. 7/2, October 200776 Forthcoming Events: R Courses in Munich

Adapting Multivariate Analysis for Monitoring

analysis of ruin probability for insurance companies using markov chain

در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...

Models for Multivariate Data Analysis

This paper reviews some models for exploring multivariate data. If a xed eeect model is used to deene a linear Principal Components Analysis (PCA), then risk functions can be deened and issues of metric and dimension optimality addressed. The model is then adapted to deene a functional PCA which can be used to the study of smooth sampled curves. Finally, this model is generalised, giving a curv...