Editorial: Special Issue on Statistical Methods and Techniques for Analyzing Spatial and Temporal-Spatial Data

2004 ◽  
Vol 11 (4) ◽  
pp. 353-354 ◽  
Author(s):  
Timothy G Gregoire
METRON ◽  
2021 ◽  
Author(s):  
Marco Riani ◽  
Mia Hubert

AbstractStarting with 2020 volume, the journal Metron has decided to celebrate the centenary since its foundation with three special issues. This volume is dedicated to robust statistics. A striking feature of most applied statistical analyses is the use of methods that are well known to be sensitive to outliers or to other departures from the postulated model. Robust statistical methods provide useful tools for reducing this sensitivity, through the detection of the outliers by first fitting the majority of the data and then by flagging deviant data points. The six papers in this issue cover a wide orientation in all fields of robustness. This editorial first provides some facts about the history and current state of robust statistics and then summarizes the contents of each paper.


2012 ◽  
Vol 13 (1) ◽  
pp. 2-2
Author(s):  
Darlene E. Crone-Todd

Author(s):  
Arun Sangaiah ◽  
Ford Gao ◽  
Krishn Mishra

Author(s):  
Axel Polleres ◽  
David Huynh Huynh

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