A functional analysis of NOx levels: location and scale estimation and outlier detection

This paper analyzes the NOx levels measured by a control station near a power plant by using techniques for functional data. First, we test for differences between the levels on working and non working days. Second, we obtain several location estimators and confidence sets of the center of the functional distribution. Third, we provide scale estimators and confidence sets of the dispersion of the functional distribution. Finally, a distance based procedure provides a criterion to determinate the presence of outlying observations, which allows to detect relevant NOx levels.

[1]  James O. Ramsay,et al.  Functional Data Analysis , 2005 .

[2]  Regina Y. Liu On a Notion of Data Depth Based on Random Simplices , 1990 .

[3]  A. Cuevas,et al.  A plug-in approach to support estimation , 1997 .

[4]  Frédéric Ferraty,et al.  Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics) , 2006 .

[5]  Ricardo Fraiman,et al.  On the use of the bootstrap for estimating functions with functional data , 2006, Comput. Stat. Data Anal..

[6]  Ricardo Fraiman,et al.  An anova test for functional data , 2004, Comput. Stat. Data Anal..

[7]  Alberto Rodríguez Casal,et al.  Set estimation under convexity type assumptions , 2007 .

[8]  P. Vieu,et al.  Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics) , 2006 .

[9]  E. Ziegel,et al.  Proceedings in Computational Statistics , 1998 .

[10]  R. Fraiman,et al.  Trimmed means for functional data , 2001 .

[11]  Jim Freeman,et al.  Outliers in Statistical Data (3rd edition) , 1995 .

[12]  Henry W. Altland,et al.  Applied Functional Data Analysis , 2003, Technometrics.

[13]  Vic Barnett,et al.  Outliers in Statistical Data , 1980 .

[14]  D. Billheimer Functional Data Analysis, 2nd edition edited by J. O. Ramsay and B. W. Silverman , 2007 .

[15]  A. Cuevas,et al.  Cluster analysis: a further approach based on density estimation , 2001 .

[16]  B. Presnell,et al.  Nonparametric estimation of the mode of a distribution of random curves , 1998 .