000			01900nam a22003617a 4500
001			G60062
003			MX-TxCIM
005			20221208224238.0
008			121211s ||||f| 0 p|p||0|| |
022			_a0090-5364
024			_2https://doi.org/10.1214/aoms/1177706721
040			_aMX-TxCIM
041	0		_aeng
043			_aUS
072		0	_aU10
090			_aREP-772
100	1		_aGupta, S.S. _929425
245	1	0	_aOn selecting a subset which contains all populations better than a standard
260			_c1957. _aUSA : _bInstitute of Mathematical Statistics,
340			_aPrinted
500			_aOpen Access
520			_aA procedure is given for selecting a subset such that the probability that all the populations better than the standard are included in the subset is equal to or greater than a predetermined number P ∗ . Section 3 deals with the problem of the location parameter for the normal distribution with known and unknown variance. Section 4 deals with the scale parameter problem for the normal distribution with known and unknown mean as well as the chi-square distribution. Section 5 deals with binomial distributions where the parameter of interest is the probability of failure on a single trial. In each of the above cases the case of known standard and unknown standard are treated separately. Tables are available for some problems; in other problems transformations are used such that the given tables are again appropriate.
546			_aText in English
595			_aRPC
650	1	7	_aData analysis _2AGROVOC _94371
650	1	7	_aMethods _91178 _2AGROVOC
650	1	7	_aModels _2AGROVOC _94859
650	1	7	_aPopulation _2AGROVOC _915029
650	1	7	_aStatistical analysis _91276 _2AGROVOC
700	1		_aSobel, M. _929424
773			_dUSA : Institute of Mathematical Statistics, 1958. _gv. 29, no. 1, p. 235-244 _tAnnals of Statistics _w0090-5364
942			_cJA _2ddc
999			_c39918 _d39918