The box–cox transformation: Review and extensions
The supplement includes three data analyses that were excluded from the final version of
the paper: the motivating data set on gasoline consumption from Chen, Lockhart and …
the paper: the motivating data set on gasoline consumption from Chen, Lockhart and …
[HTML][HTML] A multiplexed, heterogeneous, and adaptive code for navigation in medial entorhinal cortex
Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of
these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell …
these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell …
Asymptotic theory of outlier detection algorithms for linear time series regression models
S Johansen, B Nielsen - Scandinavian Journal of Statistics, 2016 - Wiley Online Library
Outlier detection algorithms are intimately connected with robust statistics that down‐weight
some observations to zero. We define a number of outlier detection algorithms related to the …
some observations to zero. We define a number of outlier detection algorithms related to the …
FSDA: A MATLAB toolbox for robust analysis and interactive data exploration
M Riani, D Perrotta, F Torti - Chemometrics and Intelligent Laboratory …, 2012 - Elsevier
We present the FSDA (Forward Search for Data Analysis) toolbox, a new software library
that extends MATLAB and its Statistics Toolbox to support a robust and efficient analysis of …
that extends MATLAB and its Statistics Toolbox to support a robust and efficient analysis of …
The power of monitoring: how to make the most of a contaminated multivariate sample
Diagnostic tools must rely on robust high-breakdown methodologies to avoid distortion in
the presence of contamination by outliers. However, a disadvantage of having a single, even …
the presence of contamination by outliers. However, a disadvantage of having a single, even …
Low-voltage series arc fault detection based on ECMC and VB-SCN
J Li, G Zou, W Wang, N Shao, B Han, L Wei - Electric Power Systems …, 2023 - Elsevier
The currents of low-voltage series arc faults are non-stationary and nonlinear, so the
selection of fault features and the adaptability of the detection algorithm will affect the …
selection of fault features and the adaptability of the detection algorithm will affect the …
Automatic robust Box–Cox and extended Yeo–Johnson transformations in regression
The paper introduces an automatic procedure for the parametric transformation of the
response in regression models to approximate normality. We consider the Box–Cox …
response in regression models to approximate normality. We consider the Box–Cox …
Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin
The twelve results from the 1988 radio carbon dating of the Shroud of Turin show surprising
heterogeneity. We try to explain this lack of homogeneity by regression on spatial …
heterogeneity. We try to explain this lack of homogeneity by regression on spatial …
Robust correspondence analysis
M Riani, AC Atkinson, F Torti… - Journal of the Royal …, 2022 - academic.oup.com
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 …
contingency tables. We introduce a robust form of correspondence analysis based on …
Monitoring robust regression
Monitoring robust regression Page 1 Electronic Journal of Statistics Vol. 8 (2014) 646–677
ISSN: 1935-7524 DOI: 10.1214/14-EJS897 Monitoring robust regression Marco Riani, Andrea …
ISSN: 1935-7524 DOI: 10.1214/14-EJS897 Monitoring robust regression Marco Riani, Andrea …