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Browsing by Author "Bechhofer, R."
Now showing items 1029 of 29

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 
A Survey of Literature on Estimation Methods for Quantal Response Curves with a View Toward Applying them to the...
Tamhane, A.; Bechhofer, R. (Cornell University Operations Research and Industrial Engineering, 198401)A Survey of Literature on Estimation Methods for Quantal Response Curves with a View Toward Applying them to the... 
Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Multinomial Event which has the Largest Probability
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198501)Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Multinomial Event which has the Largest Probability 
Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Multinomial Event which has the Largest Probability (II): Extended Tables and an Improved Procedure
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198602)Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Multinomial Event which has the Largest Probability (II): Extended Tables and an Improved Procedure 
Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Normal Population which ahs the Largest Mean
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198707)Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Normal Population which ahs the Largest Mean 
Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Normal Population which has the Largest Mean (II): 2Factor Experiments With Additivity
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198709)Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Normal Population which has the Largest Mean (II): 2Factor Experiments With Additivity 
Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Normal Population which has the Largest Mean (III): Supplementary Truncation Numbers and Resulting Performance Characteristics
Bechhofer, R.; Goldsman, D. (Cornell University Operations Research and Industrial Engineering, 198809)Truncation of the BechhoferKieferSobel Sequential Procedure for Selecting the Normal Population which has the Largest Mean (III): Supplementary Truncation Numbers and Resulting Performance Characteristics 
A TwoStage Minimax Procedure with Screeming for Selecting the Largest Normal Mean
Tamhane, A.; Bechhofer, R. (Cornell University Operations Research and Industrial Engineering, 197702)A TwoStage Minimax Procedure with Screeming for Selecting the Largest Normal Mean 
TwoStage Procedures for Comparing Treatments with a Control Elimination at the First Stage and Estimation at the Second Stage
Bechhofer, R.; Dunnett, C.; Tamhane, A. (Cornell University Operations Research and Industrial Engineering, 198805)TwoStage Procedures for Comparing Treatments with a Control Elimination at the First Stage and Estimation at the Second Stage 
TwoStage Selection of the Best Factor Level Combination in MultiFactor Experiments: Common Unknown Variance
Bechhofer, R.; Dunnett, C. (Cornell University Operations Research and Industrial Engineering, 198601)TwoStage Selection of the Best Factor Level Combination in MultiFactor Experiments: Common Unknown Variance