George C. Runger

Q: What Schools Are Affiliated With George C. Runger

George C. Runger is affiliated with the following schools: Arizona State University, University of Maryland, College Park, Augusta State University

George C. Runger's AcademicInfluence.com Rankings

George C. Runger

Mathematics

#7010

World Rank

#9612

Historical Rank

Applied Mathematics

#287

World Rank

#312

Historical Rank

Statistics

#740

World Rank

#827

Historical Rank

Measure Theory

#1790

World Rank

#2194

Historical Rank

mathematics Degrees

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Mathematics

George C. Runger's Degrees

PhD Industrial Engineering Arizona State University
Masters Industrial Engineering Arizona State University
Bachelors Industrial Engineering University of Arizona

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George C. Runger's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Applied Statistics and Probability for Engineers (1994) (2468)
Comparison of multivariate CUSUM charts (1990) (525)
A time series forest for classification and feature extraction (2013) (374)
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination (2009) (313)
A Bag-of-Features Framework to Classify Time Series (2013) (299)
Robustness of the EWMA Control Chart to Non-Normality (1999) (268)
A Combined Adaptive Sample Size and Sampling Interval X Control Scheme (1994) (255)
Using Experimental Design to Find Effective Parameter Settings for Heuristics (2001) (251)
Gene selection with guided regularized random forest (2012) (250)
Designing a Multivariate EWMA Control Chart (1997) (248)
X¯ chart with adaptive sample sizes (1993) (230)
Integrating Statistical Process Control and Engineering Process Control (1994) (227)
GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS (1993) (201)
Feature selection via regularized trees (2012) (191)
Adaptative sampling for process control (1991) (189)
A Markov Chain Model for the Multivariate Exponentially Weighted Moving Averages Control Chart (1996) (186)
The Analysis of Transformed Data (1984) (183)
Bias of Importance Measures for Multi-valued Attributes and Solutions (2011) (149)
Time series representation and similarity based on local autopatterns (2016) (146)
GAUGE CAPABILITY ANALYSIS AND DESIGNED EXPERIMENTS. PART II: EXPERIMENTAL DESIGN MODELS AND VARIANCE COMPONENT ESTIMATION (1993) (144)
Learning a symbolic representation for multivariate time series classification (2015) (142)
ADAPTIVE SAMPLING ENHANCEMENTS FOR SHEWHART CONTROL CHARTS (1993) (140)
Optimization Problems and Methods in Quality Control and Improvement (2000) (136)
Process monitoring for multiple count data using generalized linear model-based control charts (2003) (127)
Model-Based and Model-Free Control of Autocorrelated Processes (1995) (120)
Contributors to a multivariate statistical process control chart signal (1996) (114)
Evaluation of a three-state adaptive sample size X control chart (1998) (101)
Genetic Algorithms for the Construction of D-Optimal Designs (2003) (100)
Average run lengths for cusum control charts applied to residuals (1995) (96)
Designing control charts using an empirical reference distribution (1996) (93)
Projections and the U(2) Multivariate Control Chart (1996) (82)
Guidelines for the application of adaptive control charting schemes (2000) (81)
Foldovers of 2k-p Resolution IV Experimental Designs (1996) (78)
Economic-statistical design of an adaptive chart (1997) (77)
Statistical process monitoring with principal components (1996) (74)
Process monitoring for correlated gamma‐distributed data using generalized‐linear‐model‐based control charts (2003) (72)
Statistically constrained economic design of the multivariate exponentially weighted moving average control chart (2001) (72)
Using metarules to organize and group discovered association rules (2007) (71)
Robustness properties of multivariate EWMA control charts (2003) (71)
Multivariate statistical process monitoring and diagnosis with grouped regression‐adjusted variables (1999) (69)
Monitoring Temporal Homogeneity in Attributed Network Streams (2016) (60)
Process monitoring for mean shifts for multiple stage processes (2007) (59)
An Automated Feature Selection Method for Visual Inspection Systems (2006) (55)
Multivariate statistical methods for modeling and analysis of wafer probe test data (2002) (55)
Considerations in the monitoring of autocorrelated and independent data (1997) (55)
Model-based process monitoring using robust generalized linear models (2005) (54)
Multivariate Extensions to Cumulative Sum Control Charts (2004) (54)
An adaptive sample size CUSUM control chart (1995) (54)
Generalized Linear Model‐based Control Charts for Discrete Semiconductor Process Data (2004) (54)
A review of statistical process control techniques for short run manufacturing systems (1996) (52)
Multivariate statistical process control with artificial contrasts (2007) (52)
System Monitoring with Real-Time Contrasts (2012) (51)
A Program for ARL Calculation for Multivariate EWMA Charts (2001) (50)
Statistical Process Control of Multiple Stream Processes (1995) (47)
Statistical Process Control in Automated Manufacturing (1990) (46)
Batch-means control charts for autocorrelated data (1996) (45)
Control Charts for Monitoring Fault Signatures: Cuscore versus GLR (2003) (43)
Determining the optimal target for a process with multiple markets and variable holding costs (2000) (43)
Resampling methods for variable selection in robust regression (2003) (43)
Assignable Causes and Autocorrelation: Control Charts for Observations or Residuals? (2002) (41)
Supervised learning for change-point detection (2006) (40)
Query-by-committee improvement with diversity and density in batch active learning (2018) (40)
Controlling multiple stream processes with principal components (1996) (37)
GCRNN: Group-Constrained Convolutional Recurrent Neural Network (2018) (37)
Steady-state-optimal adaptive control charts based on variable sampling intervals (2001) (37)
Confidence intervals for variance components from gauge capability studies (1997) (36)
Multivariate control charts for process dispersion (2004) (36)
CBC: An associative classifier with a small number of rules (2014) (35)
Longitudinal analysis of friendship networks (1979) (35)
Optimal Monitoring of Multivariate Data for Fault Patterns (2007) (35)
Applied Statistics and Probability for Engineers, Student Solutions Manual (2006) (33)
Selection of the subgroup size and sampling interval for a CUSUM control chart (1997) (33)
See the forest before the trees: fine-tuned learning and its application to the traveling salesman problem (1998) (33)
Relationship between particulate matter and childhood asthma – basis of a future warning system for central Phoenix (2011) (32)
Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins (2009) (32)
Improving the performance of the multivariate exponentially weighted moving average control chart (1999) (31)
Filtering and smoothing methods for mixed particle count distributions (2002) (31)
Efficient shift detection using multivariate exponentially‐weighted moving average control charts and principal components (1996) (30)
Multivariate statistical process control for autocorrelated processes (1996) (28)
Statistical Process Control Scheme Design (1995) (27)
Multivariate one-sided control charts (2006) (25)
Interpretable regularized class association rules algorithm for classification in a categorical data space (2019) (25)
Tuned artificial contrasts to detect signals (2007) (24)
Common clinical indices of thyroid hormone action: relationships to serum free 3,5,3'-triiodothyronine concentration and estimated nuclear occupancy. (1980) (23)
Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform (2018) (23)
MULTIVARIATE AND UNIVARIATE PROCESS CONTROL: GEOMETRY AND SHIFT DIRECTIONS (1997) (22)
The Threshold Bootstrap a New Approach to Simulation Output Analysis (1993) (21)
Quantitative Techniques to Evaluate Process Stability (2006) (20)
Process Partitions from Time-Ordered Clusters (2009) (20)
Active Batch Learning with Stochastic Query-by-Forest (SQBF) (2011) (19)
Adaptive controllers to integrate SPC and EPC (1999) (19)
Toward a framework for learner segmentation (2013) (18)
Process Monitoring Using Hidden Markov Models (2014) (18)
Neural network models for initial public offerings (1998) (18)
How Smartphone Accelerometers Reveal Aggressive Driving Behavior?—The Key is the Representation (2020) (17)
Preimages for variation patterns from kernel PCA and bagging (2014) (17)
Feature selection for noisy variation patterns using kernel principal component analysis (2014) (16)
Process Monitoring for Multiple Count Data Using a Deleted-Y Statistic (2006) (15)
Control Charts and Feedback Adjustments for a Jump Disturbance Model (2000) (15)
Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets. (2011) (15)
Tangent Hyperplane Kernel Principal Component Analysis for Denoising (2012) (14)
CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality (2018) (14)
Designing process capability studies (1993) (13)
Image denoising with a multi-phase kernel principal component approach and an ensemble version (2011) (13)
Relationships Among Control Charts Used with Feedback Control (2006) (13)
Monitoring a Multiple Stream Filling Operation Using Fractional Samples (2002) (13)
Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery (2020) (12)
A Novel Feature Selection Methodology for Automated Inspection Systems (2009) (12)
Deriving optimal data distributions for group parallel numerical algorithms (1995) (12)
Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research (2017) (11)
Whole blood FPR1 mRNA expression predicts both non‐small cell and small cell lung cancer (2018) (11)
On active learning methods for manifold data (2020) (10)
Discovering the Nature of Variation in Nonlinear Profile Data (2016) (10)
Misuse of Information-Theoretic Dispersion Measures as Design Complexity Metrics (2011) (10)
Automated feature extraction from profiles with application to a batch fermentation process (2012) (9)
A Design Tool to Evaluate Average Time to Signal Properties of AdaptiveX̄Charts (1995) (9)
Run-to-run control charts with contrasts (1998) (9)
Supervised multivariate discretization in mixed data with Random Forests (2009) (9)
Adaptive server staffing in the presence of time-varying arrivals: a feed-forward control approach (2004) (9)
Statistical process control using level crossings (1994) (9)
Scoring levels of categorical variables with heterogeneous data (2004) (9)
An Error Rate Comparison of Classification Methods with Continuous Explanatory Variables (2003) (9)
Statistical process control using run sums (1998) (8)
Partitioned partial least squares regression with application to a batch fermentation process (2011) (8)
FEEDBACK CONTROL AND STATISTICAL PROCESS MONITORING (1996) (8)
Optimal multivariate bounded adjustment (2010) (7)
Aspects of a distributed solution of the Brusselator equation (1995) (7)
Time-based detection of changes to multivariate patterns (2010) (7)
Automated data mining methods for identifying energy efficiency opportunities using whole-building electricity data (2016) (7)
Projection-free kernel principal component analysis for denoising (2019) (7)
Use of random forest algorithm to evaluate model-based EUI benchmarks from CBECS database (2015) (6)
Fault detection for batch monitoring and discrete wavelet transforms (2011) (6)
Performance of customized control charts to detect process disturbances (2001) (6)
Analysis of a two-dimensional markov chain (1996) (6)
Data Mining and Knowledge Discovery in Healthcare Organizations: A Decision-Tree Approach (2005) (6)
A statistical framework for multiparameter analysis at the single-cell level. (2012) (6)
An introduction to a new journal for Healthcare Systems Engineering (2011) (6)
SCENARIO ANALYSIS OF TECHNOLOGY PRODUCTS WITH AN AGENT-BASED SIMULATION AND DATA MINING FRAMEWORK (2013) (6)
Identifying nonlinear variation patterns with deep autoencoders (2018) (6)
Learning patterns through artificial contrasts with application to process control (2003) (5)
What is in a name? On the misuse of information theoretic dispersion measures as design complexity metrics (2013) (5)
Some Numerical Illustrations of Fisher’s Theory of Statistical Estimation (1980) (5)
Most powerful invariant permutation tests (1992) (5)
A framework for generating task parallel programs (1999) (5)
A methodology for formulating, formalizing, validating, and evaluating a real-time process control advisor (1993) (5)
Pre-processing of high-dimensional categorical predictors in classification settings (2003) (5)
Multivariate bounded process adjustment schemes (2018) (4)
Public health surveillance with ensemble-based supervised learning (2014) (4)
A Modified Shifting Bottleneck Heuristic for Scheduling Wafer Fabrication Facilities (2002) (4)
Predicting Processes When Embedded Events Occur: Dynamic Time Warping (2003) (4)
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis (2018) (4)
A note on determining an optimal target by considering the dependence of holding costs and the quality characteristics (2005) (4)
Extracting geographic knowledge from sensor intervention data using spatial association rules (2011) (3)
Identifying and visualizing part-to-part variation with spatially dense optical dimensional metrology data (2019) (3)
An associative based approach to analyzing an online learning environment (2013) (3)
EEG-based user performance prediction using random forest in a dynamic learning environment (2016) (3)
Statistical Monitoring Techniques for Contamination Data (1997) (3)
Clustering massive categorical data with class association rules (2008) (3)
A theory to optimize the detection and measurement of EMI signals (1989) (3)
Zero-Inflated Boosted Ensembles for Rare Event Counts (2009) (3)
MTBR: Multi-Target Boosting for Regression (2021) (3)
Change-point detection with supervised learning and feature selection (2007) (3)
Assessment of operation plan performance under uncertainty (2001) (2)
Contributors to a signal from an artificial contrast (2005) (2)
Average run length performance of the u chart with control limits based on the average sample size (1995) (2)
Border Security: Supplementing Human Intelligence in a Sensor Network Using Sequential Pattern Mining (2010) (2)
Case Based Reasoning For Engineering Statistics (2003) (2)
Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection (2011) (2)
SMT: Sparse multivariate tree (2014) (2)
Feature extraction and classification models for high‐dimensional profile data (2011) (2)
Predictive modeling using a nationally representative database to identify patients at risk of developing microalbuminuria (2016) (2)
Editorial: Statistical experimental design: some recent advances and applications (2000) (2)
High-Dimensional Surveillance (2011) (2)
Exact binomial sample sizes by successive substitution (1989) (2)
Classification of video game players using EEG and logistic regression with ridge estimator (2014) (2)
A method to optimize the direction and measurement of EMI signals (1989) (2)
A Visual Analytics Based Methodology for Multi-Criteria Evaluation of Building Design Alternatives (2015) (1)
Object-Oriented Organizations: Management Insights from Software Principles (1996) (1)
A data science approach for the classification of low-grade and high-grade ovarian serous carcinomas (2018) (1)
Multivariate Cumulative Sum (CUSUM) Chart (2008) (1)
Target-aware Anomaly Detection and Diagnosis (2011) (1)
Framework for Multisector Alignment Research (2020) (1)
Rule-based methods for diagnosing out-of-control signals (2012) (1)
Layered Market Intelligence System (2022) (1)
Reviewed Works: Engineering Statistics by Douglas C. Montgomery, George C. Runger, Norma F. Hubele; Applied Statistics and Probability for Engineers by Douglas C. Montgomery, George C. Runger (2000) (1)
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis. (2018) (1)
Analyzing data from designed experiments: A regression tree approach (1999) (1)
Evaluating the effectiveness of the fine-tuned learning enhancement to backpropagation (1997) (1)
Evolution of COVID-19 Health Disparities in Arizona (2021) (1)
Response (2000) (0)
SPECIFIC SIGNAL DETECTION CHARTS USING GENERALIZED LIKELIHOOD RATIOS (2002) (0)
Quality process modelling: an application to the continuous electrical resistance annealing of copper wire (1992) (0)
Addressing Fragmentation of Health Services through Data-Driven Knowledge Co-Production within a Boundary Organization (2022) (0)
Rejoinder on: “On active learning methods for manifold data” (2020) (0)
On active learning methods for manifold data (2020) (0)
Latinx Acculturation Scales: Scoping Review and Novel Scale Selection Tool (2021) (0)
Whole blood FPR1 mRNA expression identifies both non-small cell and small cell lung cancer (2016) (0)
Modeling Frameworks for Supply Chain Analytics [electronic resource] (2012) (0)
Signal denoising using Kernel PCA (2008) (0)
Correction: Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform (2018) (0)
Using partial ranking information in the design of small-sample comparisons (1996) (0)
Learning a symbolic representation for multivariate time series classification (2014) (0)
Rejoinder on: “On active learning methods for manifold data” (2020) (0)
The integration quotient: Use of claims data to assess implementation of integrated healthcare services (2017) (0)
Evidence of gaseous AsCl4F from AsCl4+AsF6− by U. P. S. and F. I. M. S. investigations (1986) (0)
Active Batch Learning with Tree Ensembles (2011) (0)
An Approach to Multivariate Bounded Process Adjustment (2008) (0)
Patient Stratification Scale for Population Care Management Strategy (2023) (0)
Time series representation and similarity based on local autopatterns (2015) (0)
Cascading CurtainMap: An Interactive Visualization for Depicting Large and Flexible Hierarchies by Bi Wu A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved September 2014 by the Graduate Supervisory Committee: Ross Maciejewski, Chair (2014) (0)
Plan performance assessment under uncertainty for command and control (2000) (0)
X-Ray Powder Diffraction Metrics (2006) (0)
ORT — A Communication Library for Orthogonal Processor Groups (2001) (0)
Matched Forest: supervised learning for high-dimensional matched case-control studies (2019) (0)
Potential parallelism in iteration methods (1997) (0)
Multivariate Control Charts Overview (2014) (0)
A data science approach for the classification of low-grade and high-grade ovarian serous carcinomas (2018) (0)
ROBUSTNESS OF VARIANCE ESTIMATES FOR BATCH AND CONTINUOUS PROCESSES (1994) (0)
BIT ERROR RATES FROM SAMPLE TESTING SURFACE AREAS OF OPTICAL MEDIA (1997) (0)
High-dimensional disease outbreak detection using tree-based ensembles (2013) (0)
Contributor Diagnostics for Anomaly Detection (2009) (0)
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling (2023) (0)

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What Schools Are Affiliated With George C. Runger?

George C. Runger is affiliated with the following schools:

George C. Runger's Academic­Influence.com Rankings

George C. Runger's Degrees

Why Is George C. Runger Influential?

George C. Runger's Published Works

Published Works

What Schools Are Affiliated With George C. Runger?

George C. Runger's AcademicInfluence.com Rankings