An optimal design of cumulative sum control chart based on median run length

Designs of cumulative sum (CUSUM) control charts have traditionally been based on the average run length (ARL). However,interpretatios based on the ARL can be misleading as the in-control run length distribution of a CUSUM chart is highly skewed. Any meaningful interpretation based on the ARL is complicated by the fact that the form of the ren length distribution changes according to the shift in the process mean, and for certain shifts, the run length distributions are almost symmetric. For a run length distribution which can vary from a bighly skewed distribution to an almost symmetric distribution with respect to the sift, the median run length (MRL) is a more meaningful quantity to depend on since interpretation based on the MRL is more readily understood. An important reason for the wide sqread and easily. On the other hand, the MRL and in general, percentage points of run length distribution of a CUSUM chart can be computed accurately and easily. On the other hand, the MRL and in general, percentage...

[1]  J. Smillie,et al.  Unlinked surveillance of the prevalence of HIV infection in antenatal patients in the west Midlands, England , 1991, Journal of medical virology.

[2]  M. S. Patel,et al.  Optimum two stage group-screening with unequal group sizes and with errors in decisions , 1987 .

[3]  S Zeger,et al.  Evaluation of human immunodeficiency virus seroprevalence in population surveys using pooled sera , 1989, Journal of clinical microbiology.

[4]  M. Bassett,et al.  Pooling of sera for human immunodeficiency virus (HIV) testing: an economical method for use in developing countries. , 1988, Journal of clinical pathology.

[5]  M. S. Patel GROUP-SCREENING WITH MORE THAN TWO STAGES , 1962 .

[6]  G. Watson A Study of the Group Screening Method , 1961 .

[7]  R. Coker,et al.  Prevalence of hepatitis C in tropical communities: The importance of confirmatory assays , 1991, Journal of medical virology.

[8]  J. Gaudino,et al.  Sensitivity and specificity of pooled versus individual sera in a human immunodeficiency virus antibody prevalence study , 1989, Journal of clinical microbiology.

[9]  R. Dorfman The Detection of Defective Members of Large Populations , 1943 .

[10]  M. Just,et al.  HIV-1, hepatitis (A,B, and C), and measles in Romanian children , 1990, The Lancet.

[11]  T. Quinn,et al.  Successful use of pooled sera to determine HIV-1 seroprevalence in Zaire with development of cost-efficiency models. , 1990, AIDS.

[12]  W W Hauck,et al.  Confidence intervals for seroprevalence determined from pooled sera. , 1991, Annals of epidemiology.

[13]  Milton Sobel,et al.  Finding a Single Defective in Binomial Group-Testing , 1971 .

[14]  M. S. Patel,et al.  Two stage woth unequal a-prior probabilities , 1984 .

[15]  B. Kinosian,et al.  Strategies for screening blood for human immunodeficiency virus antibody. Use of a decision support system. , 1990, JAMA.

[16]  J. Sninsky,et al.  Evaluation of screened blood donations for human immunodeficiency virus type 1 infection by culture and DNA amplification of pooled cells. , 1991, The New England journal of medicine.

[17]  W. Reeves,et al.  Statistical estimation of virus infection rates in mosquito vector populations. , 1962, American journal of hygiene.

[18]  M. Houghton,et al.  Hepatitis C virus: the major causative agent of viral non-A, non-B hepatitis. , 1990, British medical bulletin.

[19]  H. Siitari,et al.  New sensitive and specific assay for human immunodeficiency virus antibodies using labeled recombinant fusion protein and time-resolved fluoroimmunoassay , 1990, Journal of clinical microbiology.