The demerit‐based control chart for trinomial distribution

Purpose – The purpose of this paper is to investigate the properties of the classical goodness of fit test statistics X2, G2, GM2, and NM2 in testing quality of process represented as the trinomial distribution with dip null hypothesis and to devise a control chart for the trinomial distribution with dip null hypothesis based on demerit control chart.Design/methodology/approach – The research involves the linear form of the test statistics, the linear function of counts since the marginal distribution of the counts in any category is binomial or approximated Poisson, in which the uniformly minimum variance unbiased estimator is the linear function of counts. A control chart is used for monitoring student characteristics in Thailand. The control chart statistics based on an average of the demerit value computed for each student as a weighted average lead to a uniformly most powerful unbiased test marginally. The two‐sided control limits were obtained using percentile estimates of the empirical distribution...

[1]  C D Kemp,et al.  Some properties of the 'hermite' distribution. , 1965, Biometrika.

[2]  S. M. Ali,et al.  A General Class of Coefficients of Divergence of One Distribution from Another , 1966 .

[3]  Oscar Kempthorne,et al.  A comparison of the chi2 and likelihood ratio tests for composite alternatives1 , 1972 .

[4]  A. Cohen,et al.  Unbiasedness of the Chi-Square, Likelihood Ratio, and Other Goodness of Fit Tests for the Equal Cell Case , 1975 .

[5]  H. F. Dodge,et al.  A Check Inspection and Demerit Rating Plan (Presented at the ninth Annual Convention of the ASQC, New York, May 23, 1955) , 1977 .

[6]  H. F. Dodge,et al.  A Check Inspection and Demerit Rating Plan , 1977 .

[7]  K. Koehler,et al.  An Empirical Investigation of Goodness-of-Fit Statistics for Sparse Multinomials , 1980 .

[8]  B. J. Payne Statistical Techniques and the Management of Quality Improvement , 1984 .

[9]  Timothy R. C. Read,et al.  Multinomial goodness-of-fit tests , 1984 .

[10]  H.-Bernhard Paul,et al.  Quality Control and Reliability Management—The Role of Production Engineers , 1984 .

[11]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[12]  Thong Ngee Goh A Charting Technique for Control of Low‐Defective Production , 1987 .

[13]  Timothy R. C. Read,et al.  Goodness-Of-Fit Statistics for Discrete Multivariate Data , 1988 .

[14]  Timothy R. C. Read,et al.  Pearsons-X2 and the loglikelihood ratio statistic-G2: a comparative review , 1989 .

[15]  T. Papaioannou,et al.  Divergence statistics: sampling properties and multinomial goodness of fit and divergence tests , 1990 .

[16]  Douglas C. Montgomery,et al.  A review of multivariate control charts , 1995 .

[17]  Thong Ngee Goh,et al.  The use of probability limits for process control based on geometric distribution , 1997 .

[18]  R. J. V. Lee Information supported design for manufacture of injection-moulded rotational products , 1998 .

[19]  Thong Ngee Goh,et al.  CONTROL CHART FOR MULTIVARIATE ATTRIBUTE PROCESSES , 1998 .

[20]  Thong Ngee Goh,et al.  Statistical techniques for quality , 1999 .

[21]  William H. Woodall,et al.  Exact Properties of Demerit Control Charts , 1999 .

[22]  Mats Deleryd,et al.  Implementation of statistical process control and process capability studies : requirements or free will? , 1999 .

[23]  Thong Ngee Goh,et al.  A quality monitoring and decision‐making scheme for automated production processes , 1999 .

[24]  Jiju Antony,et al.  Statistical process control: an essential ingredient for improving service and manufacuring quality , 2000 .

[25]  Thong Ngee Goh,et al.  An integrated SPC approach for manufacturing processes , 2001 .

[26]  Min Xie,et al.  Statistical Models and Control Charts for High-Quality Processes , 2002 .

[27]  On choosing a goodness‐of‐fit test for discrete multivariate data , 2003 .

[28]  Wichai Chattinnawat Multivariate control charts for nonconformities , 2003 .

[29]  S. G. Deshmukh,et al.  A conceptual model for quality of service in the supply chain , 2006 .

[30]  J. Chiu,et al.  Attribute Control Chart for Multivariate Poisson Distribution , 2007 .

[31]  Jens J. Dahlgaard,et al.  Implementing statistical process control : An organizational perspective , 2008 .