Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Marco Riani"'
Autor:
Paolo Di Lazzaro, Anthony C. Atkinson, Paola Iacomussi, Marco Riani, Marco Ricci, Peter Wadhams
Publikováno v:
Entropy, Vol 22, Iss 9, p 926 (2020)
We review the sampling and results of the radiocarbon dating of the archaeological cloth known as the Shroud of Turin, in the light of recent statistical analyses of both published and raw data. The statistical analyses highlight an inter-laboratory
Externí odkaz:
https://doaj.org/article/6fad54fb212549fe997df89900a67683
Publikováno v:
Entropy, Vol 22, Iss 4, p 399 (2020)
Minimum density power divergence estimation provides a general framework for robust statistics, depending on a parameter α , which determines the robustness properties of the method. The usual estimation method is numerical minimization of the power
Externí odkaz:
https://doaj.org/article/ed1afc9e43194067803129c435ee43f0
Publikováno v:
Journal of Statistical Software, Vol 67, Iss 1, Pp 1-20 (2015)
The identification of atypical observations and the immunization of data analysis against both outliers and failures of modeling are important aspects of modern statistics. The forward search is a graphics rich approach that leads to the formal detec
Externí odkaz:
https://doaj.org/article/e75decb8e68b4dc5a2360283a55a3e74
Publikováno v:
Statistica, Vol 75, Iss 1, Pp 3-3 (2015)
Externí odkaz:
https://doaj.org/article/37474e14b3164318af0a7f9538368502
Autor:
Volodymyr Melnykov, Yang Wang, Yana Melnykov, Francesca Torti, Domenico Perrotta, Marco Riani
Publikováno v:
Journal of Computational and Graphical Statistics. :1-10
Autor:
Giada Sannino, Mirko Anello, Marco Riani, Fabrizio Laurini, Marco Bittelli, Massimiliano Bordoni, Claudia Meisina, Roberto Valentino
The aim of this research is testing a new statistical model able to describe the interaction between soil and atmosphere. The model is based on a robust parametric LTS (Least Trimmed Squares) method and harmonic functions. It has been developed takin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c19e34312b472242d8fab9c4eb4f231
https://doi.org/10.5194/egusphere-egu23-7099
https://doi.org/10.5194/egusphere-egu23-7099
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 71:1381-1401
Correspondence analysis is a method for the visual display of information from two-way contingency tables. We introduce a robust form of correspondence analysis based on minimum covariance determinant estimation. This leads to the systematic deletion
Publikováno v:
Statistical Methods & Applications. 32:75-102
The paper introduces an automatic procedure for the parametric transformation of the response in regression models to approximate normality. We consider the Box–Cox transformation and its generalization to the extended Yeo–Johnson transformation
Outliers can have a major effect on the estimated transformation of the response in linear regression models, as they can on the estimates of the coefficients of the fitted model. The effect is more extreme in the Generalized Additive Models (GAMs) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d8ea4eb1e529a8244a9f9c4e31f82f7
Publikováno v:
Journal of Statistical Computation and Simulation. 92:724-747
Asymptotic properties of robust regression estimators are well known. However, it is not always clear what is the best strategy for confidence intervals and hypothesis testing when the sample size is not very large, since the distribution of residual