Xia Pan, Ph.D. - Publications

Affiliations: 
2003 University of Rhode Island, Providence, RI, United States 
Area:
Management Business Administration, Statistics, Banking Business Administration, Industrial Engineering

8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2014 Pan X, Jarrett JE. The Multivariate EWMA Model and Health Care Monitoring International Journal of Economics and Management Sciences. 3: 0-0. DOI: 10.4172/2162-6359.1000176  0.391
2013 Pan X, Jarrett JE. Using Golden Ratio Search to Improve Paired Construction of Quality Control Charts International Journal of Education and Management Engineering. 3: 107-111. DOI: 10.5963/Ijeme0303002  0.38
2012 Pan X, Jarrett JE. Why and how to use vector autoregressive models for quality control: the guideline and procedures Quality & Quantity. 46: 935-948. DOI: 10.1007/S11135-011-9437-X  0.425
2009 Jarrett JE, Pan X. Multivariate Process Control charts and their use in monitoring output quality: a perspective International Journal of Industrial and Systems Engineering. 4: 471-482. DOI: 10.1504/Ijise.2009.024154  0.414
2008 Pan X, Jarrett JE. Estimating and Improving Control Limits with RWAV for Normal and Non-normal Processess Quality Engineering. 21: 72-78. DOI: 10.1080/08982110802450769  0.34
2008 Jarrett JE, Pan X. Alternative Factors for Control Chart Construction Communications in Statistics - Simulation and Computation. 37: 2096-2105. DOI: 10.1080/03610910802339982  0.331
2007 Pan X, Jarrett J. Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation International Journal of Production Economics. 106: 204-216. DOI: 10.1016/J.Ijpe.2006.07.002  0.542
2004 Pan X, Jarrett J. Applying state space to SPC: Monitoring multivariate time series Journal of Applied Statistics. 31: 397-418. DOI: 10.1080/02664760410001681701  0.518
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