S. Albin

发表

On Poisson Approximations for Superposition Arrival Processes in Queues

S. Albin, 1982 .

An X and EWMA chart for individual observations

S. Albin, Lan Kang, G. Shea, 1997 .

Approximating a Point Process by a Renewal Process, II: Superposition Arrival Processes to Queues

Susan L. Albin, S. Albin, 1984, Oper. Res..

Robust Optimization of Experimentally Derived Objective Functions

Susan L. Albin, S. Albin, Di Xu, 2003 .

Comparison of Partial Least Squares Model and Response Surface Model in Optimizing Batch Settings

S. Albin, 2004 .

PROCESS OPTIMIZATION THROUGH DATA MINING ELIMINATES NEED FOR EXPLICIT QUALITY FUNCTION

C. Jun, S. Albin, Il-Gyo Chong, 2006 .

Optimizing the Care Coordinator Role in Primary Care: A Qualitative Case Study

Shawna V. Hudson, S. Albin, J. Ferrante, 2017, Quality management in health care.

Evaluation of emergency room triage performed by nurses.

S. Albin, S. Jacobson, B. Bell, 1977, Hospital topics.

Validity indices for clusters of uncertain data objects

M. Jeong, S. Albin, Behnam Tavakkol, 2018, Annals of Operations Research.

Validity indices for clusters of uncertain data objects

Myong K. Jeong, Behnam Tavakkol, Susan L. Albin, 2018, Ann. Oper. Res..

A data mining approach to process optimization without an explicit quality function

Chi-Hyuck Jun, Il-Gyo Chong, Susan L. Albin, 2007 .

Manufacturing start-up problem solved by mixed-integer quadratic programming and multivariate statistical modelling

S. L. Albin, S. Albin, Di Xu, 2002 .

Monitoring a fraction with easy and reliable settings of the false alarm rate

Susan L. Albin, Rodrigo I. Duran, S. Albin, 2009, Qual. Reliab. Eng. Int..

A hierarchical method for evaluating products with quantitative and sensory characteristics

Flávio Sanson Fogliatto, Susan L. Albin, S. Albin, 2001 .

On-Line Monitoring When the Process Yields a Linear Profile

Lan Kang, Susan L. Albin, S. Albin, 2000 .

Robust Optimization in Quality Engineering

Di Xu, Susan L. Albin, S. Albin, 2006 .

An AHP-based procedure for sensory data collection and analysis in quality and reliability applications

Susan L. Albin, Flávio Sanson Fogliatto, S. Albin, 2003 .

VARIANCE OF PREDICTED RESPONSE AS AN OPTIMIZATION CRITERION IN MULTIRESPONSE EXPERIMENTS

Susan L. Albin, FJavio S. Fogliatto, S. Albin, 2000 .

A HIERARCHICAL APPROACH TO OPTIMIZING DESCRIPTIVE ANALYSIS MULTIRESPONSE EXPERIMENTS

Susan L. Albin, Flávio Sanson Fogliatto, Beverly J. Tepper, 1999 .

Chemometrics and Intelligent Laboratory Systems

Michel José Anzanello, Wanpracha Art Chaovalitwongse, Susan L. Albin, 2009 .

Evaluation of emergency room triage performed by nurses.

S. Albin, S. Jacobson, B. Bell, 1975, American journal of public health.

The Impact of Clustered Defect Distributions in IC Fabrication

Susan L. Albin, David J. Friedman, D. J. Friedman, 1989 .

Delays for customers from different arrival streams to a queue

Susan L. Albin, S. Albin, 1986 .

Multicriteria variable selection for classification of production batches

W. Art Chaovalitwongse, Michel J. Anzanello, Susan L. Albin, 2012, Eur. J. Oper. Res..

Measures of Scatter and Fisher Discriminant Analysis for Uncertain Data

Myong K. Jeong, Behnam Tavakkol, Susan L. Albin, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Object-to-group probabilistic distance measure for uncertain data classification

Myong Kee Jeong, Behnam Tavakkol, Susan L. Albin, 2017, Neurocomputing.

Monitoring and accurately interpreting service processes with transactions that are classified in multiple categories

Susan L. Albin, Rodrigo I. Duran, S. Albin, 2009 .

Detecting outliers in complex profiles using a χ2 control chart method

Hang Zhang, Susan L. Albin, S. Albin, 2009 .

Determining Statistical Process Control Baseline Periods in Long Historical Data Streams

Hang Zhang, Suhail Gupta, Daniel A. Nolet, 2010 .