Robustness of a system has been defined in various ways and a lot of work has been done to model the system robustness , but quantifying or measuring robustness has always been very difficult. In this research we consider a simple system of a linear estimator and then attempt to model the system performance and robustness in a geometrical manner which admits an analysis using the differential geometric concepts of slope and curvature. We try to compare two different types of curvatures, namely the curvature along the maximum slope of a surface and the square-root of the absolute value of sectional curvature of a surface, and observe the values to see if both of them can alternately be used in the process of understanding or measurin...
Journal ArticleAn intuitionistic geometry approach is taken to develop two tolerance-based methods f...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1992.In...
This thesis describes a new approach to computing mean curvature and mean curvature normals on smoot...
Most signal processing systems today need to estimate parameters of the underlying probability distr...
Robustness of a system has been defined in various ways and a lot of work has been done to model the...
In this work we have made use of a geometric approach which quantifies robustness and performance an...
We propose the study of robustness measures for signal detection in non-stationary noise using diffe...
A robust multivariate linear regression estimator can be obtained by replacing the least squares est...
The unifying theme of this dissertation is robust optimization; the study of solving certain types o...
There is a substantial collection of robust analysis of covariance (ANCOVA) methods that effectively...
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAM...
In modern statistics, the robust estimation of parameters of a re- gression hyperplane is a central...
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field o...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 2005.Includes bibl...
Master of ScienceDepartment of StatisticsWeixin YaoIn practice, when applying a statistical method i...
Journal ArticleAn intuitionistic geometry approach is taken to develop two tolerance-based methods f...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1992.In...
This thesis describes a new approach to computing mean curvature and mean curvature normals on smoot...
Most signal processing systems today need to estimate parameters of the underlying probability distr...
Robustness of a system has been defined in various ways and a lot of work has been done to model the...
In this work we have made use of a geometric approach which quantifies robustness and performance an...
We propose the study of robustness measures for signal detection in non-stationary noise using diffe...
A robust multivariate linear regression estimator can be obtained by replacing the least squares est...
The unifying theme of this dissertation is robust optimization; the study of solving certain types o...
There is a substantial collection of robust analysis of covariance (ANCOVA) methods that effectively...
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAM...
In modern statistics, the robust estimation of parameters of a re- gression hyperplane is a central...
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field o...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 2005.Includes bibl...
Master of ScienceDepartment of StatisticsWeixin YaoIn practice, when applying a statistical method i...
Journal ArticleAn intuitionistic geometry approach is taken to develop two tolerance-based methods f...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1992.In...
This thesis describes a new approach to computing mean curvature and mean curvature normals on smoot...