scholarly journals A Minimum Discrimination Information Control Chart for Stationary Autocorrelated Processes

2012 ◽  
Vol 12 (0) ◽  
pp. 161
Author(s):  
Pairoj Khawsithiwong ◽  
Nihal Yatawara
1982 ◽  
Vol 14 (10) ◽  
pp. 1341-1354 ◽  
Author(s):  
K E Haynes ◽  
F Y Phillips

Mathematical programming and statistical inference are combined in a constrained minimum discrimination information (MDI) method to provide a basis for a wide range of spatial and individual choice behavior problems. This approach offers an alternative to linear and loglinear regression estimation methods as well as probabilistic models of the logit and probit variety. Some logical and computational difficulties inherent in these approaches are resolved. Further, the approach leads endogenously to alternative hypotheses if the null hypothesis is rejected, and hence has implications for the interaction between research that is oriented toward theory construction and applied research that is empirically oriented.


2003 ◽  
Vol 35 (2) ◽  
pp. 139-152 ◽  
Author(s):  
John N. Dyer ◽  
Benjamin M. Adams ◽  
Michael D. Conerly

2019 ◽  
Vol 7 (1) ◽  
pp. 364-394 ◽  
Author(s):  
Hidayatul Khusna ◽  
Muhammad Mashuri ◽  
Suhartono ◽  
Dedy Dwi Prastyo ◽  
Muhammad Hisyam Lee ◽  
...  

2012 ◽  
Vol 217-219 ◽  
pp. 2607-2613
Author(s):  
Wen Wan Yang ◽  
Xue Min Zi ◽  
Chang Liang Zou

A new nonparametric multivariate control chart, based on a spatial-sign test and integrating the directional information from processes with the exponentially weighted moving average (EWMA) scheme, is developed for monitoring the mean of a univariate autocorrelated process. Simulation studies show that it has robustness in in-control (IC) performance, and it is more sensitive to the small and moderate mean shifts for non-normality underlying process than other existing multivariate chart methods.


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