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pro vyhledávání: '"Jay R. Schaffer"'
Autor:
Jay R. Schaffer, Austin R. Brown
Publikováno v:
Communications in Statistics - Theory and Methods. 50:6067-6080
In statistical process control applications, situations may arise in which several presumably identical processes or “streams” are desired to be simultaneously monitored. Such a monitoring scenario...
Autor:
Jay R. Schaffer, Rafael Perez Abreu
Publikováno v:
Journal of Modern Applied Statistical Methods. 16:443-457
Autor:
Jay R. Schaffer, Achut Adhikari
Publikováno v:
Journal of Modern Applied Statistical Methods. 14:53-69
Autor:
Pornsin Supawan, Dale Shaw, Ampai Thongteeraparp, MyoungJin Kim, Jay R. Schaffer, Daniel J. Mundform
Publikováno v:
Journal of Modern Applied Statistical Methods. 10:19-28
Autor:
MyoungJin Kim, Jay R. Schaffer
Publikováno v:
Communications in Statistics - Simulation and Computation. 36:1075-1087
Monte Carlo simulations have been used extensively in studying the performance of control charts. Researchers have used various numbers of replications in their studies, but almost none of them provided justifications for the number of replications u
Autor:
Paul C. Cross, Declan P. Naughton, James Barker, Helen E. Taft, Maryann Shane, Tamás Nepusz, Nawed I.K. Deshmukh, Christiana Adesanwo, Andrea Petróczi, Syeda A.B. Shah, Jay R. Schaffer
Publikováno v:
Substance Abuse Treatment Prevention and Policy
Scopus-Elsevier
Substance Abuse Treatment, Prevention, and Policy, Vol 6, Iss 1, p 20 (2011)
Substance Abuse Treatment, Prevention, and Policy
Scopus-Elsevier
Substance Abuse Treatment, Prevention, and Policy, Vol 6, Iss 1, p 20 (2011)
Substance Abuse Treatment, Prevention, and Policy
Background An advantage of randomised response and non-randomised models investigating sensitive issues arises from the characteristic that individual answers about discriminating behaviour cannot be linked to the individuals. This study proposed a n