Statistical monitoring of functional data using the notion of Fréchet mean combined with the framework of the deformation models

The aim of this paper is to investigate possible advances obtained by the implementation of the framework of Fr\'echet mean and the generalized sense of mean that it offers, in the field of statistical process monitoring and control. In particular, the case of non-linear profiles which are described by data in functional form is considered and a framework combining the notion of Fr\'echet mean and deformation models is developed. The proposed monitoring approach is implemented to the intra-day air pollution monitoring task in the city of Athens where the capabilities and advantages of the method are illustrated.

[1]  Javier M. Moguerza,et al.  Monitoring Nonlinear Profiles Using Support Vector Machines , 2007, CIARP.

[2]  H. Muller,et al.  Fréchet regression for random objects with Euclidean predictors , 2016, The Annals of Statistics.

[3]  J. S. Marron,et al.  Analysis of nonlinear modes of variation for functional data , 2007 .

[4]  Marc Arnaudon,et al.  Medians and Means in Riemannian Geometry: Existence, Uniqueness and Computation , 2011, 1111.3120.

[5]  Rikard Berthilsson,et al.  A Statistical Theory of Shape , 1998, SSPR/SPR.

[6]  T. Gasser,et al.  Self‐modelling warping functions , 2004 .

[7]  Gülnur Birol,et al.  Statistical Process Monitoring , 2003 .

[8]  B. Afsari Riemannian Lp center of mass: existence, uniqueness, and convexity , 2011 .

[9]  Jérémie Bigot,et al.  Minimax properties of Fréchet means of discretely sampled curves , 2012, 1210.0771.

[10]  Eric Chicken,et al.  Statistical Process Monitoring of Nonlinear Profiles Using Wavelets , 2009 .

[11]  H. Muller,et al.  Fréchet analysis of variance for random objects , 2017, Biometrika.

[12]  Heinz H. Bauschke,et al.  On the convergence of von Neumann's alternating projection algorithm for two sets , 1993 .

[13]  T. Gasser,et al.  Alignment of curves by dynamic time warping , 1997 .

[14]  James O. Ramsay,et al.  Applied Functional Data Analysis: Methods and Case Studies , 2002 .

[15]  J. Marron,et al.  Analysis of principal nested spheres. , 2012, Biometrika.

[16]  Javier Cano,et al.  Using statistical shape theory for the monitoring of nonlinear profiles , 2015 .

[17]  Huiling Le,et al.  The Fréchet mean shape and the shape of the means , 2000, Advances in Applied Probability.

[18]  M. Fréchet Les éléments aléatoires de nature quelconque dans un espace distancié , 1948 .

[19]  A. Yannacopoulos,et al.  A learning algorithm for source aggregation , 2018 .

[20]  Georgios I Papayiannis,et al.  A functional supervised learning approach to the study of blood pressure data. , 2018, Statistics in medicine.

[21]  J. H. Shiau,et al.  Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression , 2009 .

[22]  Eric Chicken,et al.  Nonparametric Changepoint Estimation for Sequential Nonlinear Profile Monitoring , 2015, Qual. Reliab. Eng. Int..

[23]  C. Goodall Procrustes methods in the statistical analysis of shape , 1991 .

[24]  C. Cristalli,et al.  An Integrated Energy Simulation Model for Buildings , 2020, Energies.

[25]  William H. Woodall,et al.  Statistical monitoring of nonlinear product and process quality profiles , 2007, Qual. Reliab. Eng. Int..

[26]  Heinz H. Bauschke,et al.  Dykstra's Alternating Projection Algorithm for Two Sets , 1994 .

[27]  G. Wahba Spline models for observational data , 1990 .

[28]  Jean-Michel Loubes,et al.  Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping , 2009, Journal of Mathematical Imaging and Vision.

[29]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[30]  J. Engel,et al.  Model Estimation in Nonlinear-regression Under Shape Invariance , 1995 .

[31]  Peihua Qiu,et al.  Nonparametric Profile Monitoring by Mixed Effects Modeling , 2010, Technometrics.

[32]  Victor M. Panaretos,et al.  Amplitude and phase variation of point processes , 2016, 1603.08691.

[33]  Marino Magno,et al.  Functional Control Charts and Health Monitoring of Steam Sterilizers , 2016, Qual. Reliab. Eng. Int..

[34]  Matthew P. Wand,et al.  Kernel Smoothing , 1995 .