scholarly journals The one- and multi-sample problem for functional data with application to projective shape analysis

2008 ◽  
Vol 99 (5) ◽  
pp. 815-833 ◽  
Author(s):  
A. Munk ◽  
R. Paige ◽  
J. Pang ◽  
V. Patrangenaru ◽  
F. Ruymgaart
Keyword(s):  
Shape Analysis ◽  
Functional Data ◽  
Sample Problem ◽  
The One ◽  
Projective Shape

Kernel based method for the k-sample problem with functional data

2020 ◽  
pp. 1-26
Author(s):  
Armando S. K. Balogoun ◽  
Guy M. Nkiet ◽  
Carlos Ogouyandjou
Keyword(s):  
Functional Data ◽  
Sample Problem

Prosodic effects on speech gestures: A shape analysis based on functional data analysis

2013 ◽  
Vol 133 (5) ◽  
pp. 3565-3565
Author(s):  
Christine Mooshammer ◽  
Lasse Bombien ◽  
Jelena Krivokapic
Keyword(s):  
Data Analysis ◽  
Shape Analysis ◽  
Functional Data Analysis ◽  
Functional Data

The One-Sample Problem from Eradication Studies of Chronic Viral Infections

Biometrics ◽  
2000 ◽  
Vol 56 (2) ◽  
pp. 626-633 ◽  
Author(s):  
Debbie M. Cheng ◽  
Stephen W. Lagakos
Keyword(s):  
Viral Infections ◽  
Sample Problem ◽  
Chronic Viral Infections ◽  
The One

scholarly journals Quadratic forms of the empirical processes for the two-sample problem for functional data

Test ◽  
2017 ◽  
Vol 26 (3) ◽  
pp. 503-526 ◽  
Author(s):  
R. Bárcenas ◽  
J. Ortega ◽  
A. J. Quiroz
Keyword(s):  
Functional Data ◽  
Quadratic Forms ◽  
Empirical Processes ◽  
Sample Problem ◽  
Two Sample Problem

scholarly journals NUCLEI SHAPE ANALYSIS, A STATISTICAL APPROACH

2011 ◽  
Vol 27 (1) ◽  
pp. 1 ◽  
Author(s):  
Alberto Nettel-Aguirre
Keyword(s):  
Data Analysis ◽  
Shape Analysis ◽  
Functional Data Analysis ◽  
Principal Components ◽  
Functional Data ◽  
Statistical Approach ◽  
Second Derivatives

The method presented in our paper suggests the use of Functional Data Analysis (FDA) techniques in an attempt to characterise the nuclei of two types of cells: Cancer and non-cancer, based on their 2 dimensional profiles. The characteristics of the profile itself, as traced by its X and Y coordinates, their first and second derivatives, their variability and use in characterization are the main focus of this approach which is not constrained to star shaped nuclei. Findings: Principal components created from the coordinates relate to shape with significant differences between nuclei type. Characterisations for each type of profile were found.

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