TY - JOUR
T1 - Multiple Comparison of Exponential Location Parameters With the Best Under Type II Censoring
AU - Ng, C. K.
PY - 1992
Y1 - 1992
N2 - Let there be k independent exponential populations with unknown and unequal location parameters and with a common but unknown scale parameter. Type II censored sample of size n; is drawn from each population πi = 1, 2, · · ·, k. Based on these k samples, multiple comparison of the location parameters with that of a control population are obtained. The results are applied to situations where there is no control population and the experimenter is interested in multiple comparison with the best (but unknown) population. Subset selection satisfying given selection goals can be achieved simultaneously. © 1992 Taylor and Francis Group, LLC.
AB - Let there be k independent exponential populations with unknown and unequal location parameters and with a common but unknown scale parameter. Type II censored sample of size n; is drawn from each population πi = 1, 2, · · ·, k. Based on these k samples, multiple comparison of the location parameters with that of a control population are obtained. The results are applied to situations where there is no control population and the experimenter is interested in multiple comparison with the best (but unknown) population. Subset selection satisfying given selection goals can be achieved simultaneously. © 1992 Taylor and Francis Group, LLC.
KW - Multiple comparison with a control
KW - Multiple comparison with the best
KW - Subset selection
KW - Two parameter exponential distributions
KW - Type II censoring
UR - http://www.scopus.com/inward/record.url?scp=0042250707&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0042250707&origin=recordpage
U2 - 10.1080/01966324.1992.10737341
DO - 10.1080/01966324.1992.10737341
M3 - RGC 21 - Publication in refereed journal
SN - 0196-6324
VL - 12
SP - 383
EP - 402
JO - American Journal of Mathematical and Management Sciences
JF - American Journal of Mathematical and Management Sciences
IS - 4
ER -