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Browsing by Author "Bechhofer, R."
Now showing items 120 of 29

An Application of Majorization to the Problem of Selecting the Largest Interaction in a TwoFactor Experiment
Bechhofer, R.; Santner, T.; Turnbull, B. (Cornell University Operations Research and Industrial Engineering, 197605)An Application of Majorization to the Problem of Selecting the Largest Interaction in a TwoFactor Experiment 
Chebyshev Type Lower Bounds for the Probability of Correct Selection, I: The Location Problem with One Observation from each of Two Populations
Bechhofer, R.; Turnbull, B. (Cornell University Operations Research and Industrial Engineering, 197412)Chebyshev Type Lower Bounds for the Probability of Correct Selection, I: The Location Problem with One Observation from each of Two Populations 
Closed Sequential Procedures for Selecting the Multinomial Events which Have the Largest Probabilities
Bechhofer, R.; Kulkarni, R. (Cornell University Operations Research and Industrial Engineering, 198401)Closed Sequential Procedures for Selecting the Multinomial Events which Have the Largest Probabilities 
A comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance
Bechhofer, R.; Dunnett, C. W.; Goldsman, D. M.; Hartmann, M. (Cornell University Operations Research and Industrial Engineering, 199002)This paper published in the Proceedings First Canadian Conference on Computational Geometry, Montreal, Canada, August 1989 
A Comparison of the Performances of Procedures for Selecting the Normal Population Having the Largest Mean when the Variances are Known and Equal
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198805)A Comparison of the Performances of Procedures for Selecting the Normal Population Having the Largest Mean when the Variances are Known and Equal 
A Curtailed Sequential Procedure for Subset Selection of Multinomial Cells
Bechhofer, R.; Chen, P. (Cornell University Operations Research and Industrial Engineering, 198805)A Curtailed Sequential Procedure for Subset Selection of Multinomial Cells 
Designing Experiments for Selecting the Largest Normal Mean when the Variances are Known and Unequal: Optimal Sample Size Allocation
Bechhofer, R.; Hayter, A.; Tamhane, A. (Cornell University Operations Research and Industrial Engineering, 198812)Designing Experiments for Selecting the Largest Normal Mean when the Variances are Known and Unequal: Optimal Sample Size Allocation 
Discussion of a Paper in Statistical Science by A.S. Hetadat, M. Jacroux and D. Mayumdur
Bechhofer, R.; Tamhane, A. (Cornell University Operations Research and Industrial Engineering, 198802)Discussion of a Paper in Statistical Science by A.S. Hetadat, M. Jacroux and D. Mayumdur 
The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data
Turnbull, B.; Bechhofer, R. (Cornell University Operations Research and Industrial Engineering, 197607)The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data 
A (k+1)decision SingleStage Selection Procedure for Comparing k Normal Means with a Fixed Known Standard: The Case of Common Known Variance
Bechhofer, R.; Turnbull, B. (Cornell University Operations Research and Industrial Engineering, 197412)A (k+1)decision SingleStage Selection Procedure for Comparing k Normal Means with a Fixed Known Standard: The Case of Common Known Variance 
A (k+1)decision SingleStage Selection Procedure for Comparing k Normal Means with a Fixed Known Standard: The Case of Common Unknown Variance
Bechhofer, R.; Turnbull, B. (Cornell University Operations Research and Industrial Engineering, 197505)A (k+1)decision SingleStage Selection Procedure for Comparing k Normal Means with a Fixed Known Standard: The Case of Common Unknown Variance 
On the RameyAlam Sequential Procedure for Selecting the Multinomial Event which has the Largest Probability
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198411)On the RameyAlam Sequential Procedure for Selecting the Multinomial Event which has the Largest Probability 
Optimal Allocation of Observations in Subset Selection and Multiple Comparisons with a Control, and Associated Tables (With Application to Drug Screening)
Bechhofer, R.; Dunnett, C.; Tamhane, A. (Cornell University Operations Research and Industrial Engineering, 198706)Optimal Allocation of Observations in Subset Selection and Multiple Comparisons with a Control, and Associated Tables (With Application to Drug Screening) 
Optimal Allocation of Observations when Comparing Several Treatments with a Control, III: Globally Best OneSided Intervals for Unequal Variances
Bechhofer, R.; Turnbull, B. (Cornell University Operations Research and Industrial Engineering, 197105)Optimal Allocation of Observations when Comparing Several Treatments with a Control, III: Globally Best OneSided Intervals for Unequal Variances 
An Optimal Sequential Procedure for Selecting the Best Bernoulli Process
Bechhofer, R. (Cornell University Operations Research and Industrial Engineering, 198402)An Optimal Sequential Procedure for Selecting the Best Bernoulli Process 
Percentage Points of Multivariate Student t Distributions
Bechhofer, R.; Dunnett, C. (Cornell University Operations Research and Industrial Engineering, 198606)Percentage Points of Multivariate Student t Distributions 
Sequential Selection Procedures for Multifactor Experiments Involving KoopmanDarmois Populations with Additivity
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198607)Sequential Selection Procedures for Multifactor Experiments Involving KoopmanDarmois Populations with Additivity 
A SingleStage Selection Procedure for MultiFactor Multinomial Experiments with Multiplicativity
Bechhofer, R.; Goldsman, D.; Jennison, C. (Cornell University Operations Research and Industrial Engineering, 198807)A SingleStage Selection Procedure for MultiFactor Multinomial Experiments with Multiplicativity 
Study of the performance of a generalized Paulson sequential selection procedure for twofactor experiments involving normal populations with common known variance and no factorlevel interaction
Bechhofer, R.; Goldsman, D.; Hartmann, M. (Cornell University Operations Research and Industrial Engineering, 199105)Study of the performance of a generalized Paulson sequential selection procedure for twofactor experiments involving normal populations with common known variance and no factorlevel interaction 
Subset Selection for Normal Means in MultiFactor Experiments
Bechhofer, R.; Dunnett, C. (Cornell University Operations Research and Industrial Engineering, 198611)Subset Selection for Normal Means in MultiFactor Experiments