- Data Visualization and Analytics
- Advanced Statistical Methods and Models
- Data Mining Algorithms and Applications
- Network Traffic and Congestion Control
- Data Analysis with R
- Neural Networks and Applications
- Semantic Web and Ontologies
- Climate variability and models
- Air Quality and Health Impacts
- Statistics Education and Methodologies
- Network Security and Intrusion Detection
- Time Series Analysis and Forecasting
- Statistical and numerical algorithms
- Sensory Analysis and Statistical Methods
- Data Management and Algorithms
- Visual perception and processing mechanisms
- Data-Driven Disease Surveillance
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Advanced Queuing Theory Analysis
- Spectroscopy and Chemometric Analyses
- Internet Traffic Analysis and Secure E-voting
- Soil Geostatistics and Mapping
Purdue University West Lafayette
2012-2025
University of Mary
2021
University of Mary Washington
2017
Saint Louis University
2014
Bell (Canada)
1977-2014
Nokia (United States)
1977-2003
Alcatel Lucent (Germany)
2003
Mathematical Sciences Research Institute
2000
AT&T (United States)
1984-1996
Bridge University
1988
Abstract The visual information on a scatterplot can be greatly enhanced, with little additional cost, by computing and plotting smoothed points. Robust locally weighted regression is method for smoothing scatterplot, (x i , y ), = 1, …, n, in which the fitted value at z k of polynomial fit to data using least squares, where weight ) large if x close small it not. A robust fitting procedure used that guards against deviant points distorting Visual, computational, statistical issues are...
Abstract Locally weighted regression, or loess, is a way of estimating regression surface through multivariate smoothing procedure, fitting function the independent variables locally and in moving fashion analogous to how average computed for time series. With local we can estimate much wider class surfaces than with usual classes parametric functions, such as polynomials. The goal this article show, applications, loess be used three purposes: data exploration, diagnostic checking models,...
This book present graphical methods for analysing data. Some are new and some old, require a computer others only paper pencil; but they all powerful data analysis tools. In many situations, set of � even large set- can be adequately analysed through alone. most other few well-chosen displays significantly enhance numerical statistical analyses.
Abstract The visual information on a scatterplot can be greatly enhanced, with little additional cost, by computing and plotting smoothed points. Robust locally weighted regression is method for smoothing scatterplot, (x i , y ), = 1, …, n, in which the fitted value at z k of polynomial fit to data using least squares, where weight ) large if x close small it not. A robust fitting procedure used that guards against deviant points distorting Visual, computational, statistical issues are...
Abstract The subject of graphical methods for data analysis and presentation needs a scientific foundation. In this article we take few steps in the direction establishing such Our approach is based on perception—the visual decoding information encoded graphs—and it includes both theory experimentation to test theory. deals with small but important piece whole process perception. first part an identification set elementary perceptual tasks that are carried out when people extract...
Abstract Locally weighted regression, or loess, is a way of estimating regression surface through multivariate smoothing procedure, fitting function the independent variables locally and in moving fashion analogous to how average computed for time series. With local we can estimate much wider class surfaces than with usual classes parametric functions, such as polynomials. The goal this article show, applications, loess be used three purposes: data exploration, diagnostic checking models,...
Graphical perception is the visual decoding of quantitative and qualitative information encoded on graphs. Recent investigations have uncovered basic principles human graphical that important implications for display data. The computer graphics revolution has stimulated invention many methods analyzing presenting scientific data, such as box plots, two-tiered error bars, scatterplot smoothing, dot charts, graphing a log base 2 scale.
Abstract A dynamic graphical method is one in which a data analyst interacts real time with display on computer graphics terminal. Using screen input device such as mouse, the can specify, visual way, points or regions and cause aspects of to change nearly instantaneously. Brushing collection methods for viewing multidimensional data. It very effective when used scatterplot matrix, rectangular array all pairwise scatterplots variables. Four brushing operations—highlight, shadow highlight,...
Abstract The subject of graphical methods for data analysis and presentation needs a scientific foundation. In this article we take few steps in the direction establishing such Our approach is based on perception—the visual decoding information encoded graphs—and it includes both theory experimentation to test theory. deals with small but important piece whole process perception. first part an identification set elementary perceptual tasks that are carried out when people extract...
A dynamic graphical method is one in which a data analyst interacts real time with display on computer graphics terminal. Using screen input device such as mouse, the can specify, visual way, points or regions and cause aspects of to change nearly instantaneously. Brushing collection methods for viewing multidimensional data. It very effective when used scatterplot matrix, rectangular array all pairwise scatterplots variables. Four brushing operations—highlight, shadow highlight, delete,...
Abstract Trellis display is a framework for the visualization of data. Its most prominent aspect an overall visual design, reminiscent garden trelliswork, in which panels are laid out into rows, columns, and pages. On each panel trellis, subset data graphed by method such as scatterplot, curve plot, boxplot, 3-D wireframe, normal quantile or dot plot. Each shows relationship certain variables conditional on values other variables. A number methods employed design enable it to succeed...
Summary An action plan to enlarge the technical areas of statistics focuses on data analyst. The sets out six work for a university department, and advocates specific allocation resources devoted research in each area courses area. value is judged by extent which it benefits analyst, either directly or indirectly. also applicable government labs corporate organizations.
Concentration distributions of air contaminants and meteorological variables in New Jersey York for workdays (Mondays through Fridays, omitting holidays) Sundays are compared by means quantile-quantile plots. The ozone slightly higher on Sundays, the primary pollutant lower. These results raise serious questions about validity current concepts underlying reduction urban atmospheres.