- AlamK. and RizviM. H. (1966), “Selection from multivariate normal populations,” Ann. Instit. Statist. Math., 18, 307–318.
- BarrD. R. and RizviM. H. (1966), “An introduction to ranking and selection procedures,” J. Amer. Statist. Assoc., 61, 640–646.
- BechhoferR. E. (1954), “A single-sample multiple decision procedure for ranking means of normal populations with known variances,” Ann. Math. Statist., 25, 16–39.
- BeckerR. A., ChambersJ. M. and WilksA. R. (1988), The New S Language, Wadsworth & Brooks/Cole.
- ChoiC. H., JeonJ. W. and KimW-C (1982), “Selection problems in terms of coefficients of variation,” Journal of the Korean Statistical Society, XI, 12–24.
- DudewiczE. J. and DalaiS. R. (1975), “Allocation of observations in ranking and selection with unequal variances,” Sankhya, Ser. B, 37, 28–78.
- GibbonsJ. D., OlkinI. and SobelM. (1977), Selecting and Ordering Populations: A New Statistical Methodology, New York: John Wiley.
- GuptaS. S. (1956), “On a decision rule for a problem in ranking means,” Mimeo Series No. 150, Institute of Statistics, University of North Carolina, Chapel Hill, NC.
- GuptaS. S. (1963), “Probability integrals of multivariate normal and multivariate t,” Ann. Math. Statist., 34, 792–828.
- GuptaS. S. (1965), “On some multiple decision (selection and ranking) rules,” Technometrics, 7, 225–245.
- GuptaS. S. and PanchapakesanS. (1979), Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations, New York: John Wiley.
- LenthR. V. (1989), “Algorithm AS 243 - Cumulative distribution function of the non-central t-distribution,” Appl. Statist., 38, 185–189.
- NelderJ. A. and MeadR. (1965), “A simplex algorithm for function minimization,” Computer J., 7, 308–313.
- PellicaneP. (1990), “Behavior of rubber-based elastomeric construction adhesive,” J. Testing and Eval., 18, 256–264.
- PiessensR., deDoncker-KapengaE., UberhuberC. and KahanerD. (1983), Quadpack: A Subroutine Package for Automatic Integration, Springer Verlag.
- RinottY. (1978), “On two-stage procedures and related probability inequalities,” Communications in Statistics, Ser. A, 8, 799–811.
- SantnerT. J. and TamhaneA. C. (1984), “Designing experiments for selecting a normal population with a large mean and a small variance,” Design of Experiments: Ranking and Selection (Eds. SantnerT. J. and TamhaneA. C.), Marcel-Dekker, (1984), 179–198.
- SenP. K. (1964), “Tests for the validity of the fundamental assumption in dilution (-direct) assays,” Biometrics, 20, 770–784.
- VardemanS. B. (1994), Statistics for Engineering Problem Solving, Boston: PWS Publishing Co.
Selecting the Normal Population with the Smallest Coefficient of Variation
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.