On two-stage selection procedures and related probability-inequalities
From MaRDI portal
Publication:4174081
DOI10.1080/03610927808827671zbMath0392.62020OpenAlexW2054222839MaRDI QIDQ4174081
Publication date: 1978
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610927808827671
ComparisonUnknown VariancesNormal PopulationsCorrect ClassificationLargest MeanTwo-Stage Selection Procedures
Related Items (73)
Asymptotic considerations for selecting the best component of a multivariate normal population ⋮ Genetic-algorithm-based simulation optimization considering a single stochastic constraint ⋮ Selecting a Good Stochastic System for the Large Number of Alternatives ⋮ A combined statistical selection procedure measured by the expected opportunity cost ⋮ Solving Large-Scale Fixed-Budget Ranking and Selection Problems ⋮ Selection of the Best Normal Population: A New Exact Solution, Asymptotically Optimal Whenk=2 ⋮ An improved two-stage selection procedure ⋮ Robustness of a Two-Stage Selection Procedure When Variances Are Unequal ⋮ Selecting the normal population with the largest mean when the variances are bounded ⋮ Subset selection of best simulated systems ⋮ Rapid screening algorithms for stochastically constrained problems ⋮ A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection ⋮ Ranking and Selection with Covariates for Personalized Decision Making ⋮ Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination ⋮ Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing ⋮ Asymptotic efficiency analysis on the modified Paulson's procedure with a PAC guarantee ⋮ Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization ⋮ Some insights of using common random numbers in selection procedures ⋮ Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization ⋮ Robust ranking and selection with optimal computing budget allocation ⋮ Different definitions of \(\Delta\)-correct selection for the indifference zone formulation ⋮ Fixed-width multiple-comparison procedures using common random numbers for steady-state simulations ⋮ Simulation budget allocation for simultaneously selecting the best and worst subsets ⋮ On two-stage comparisons with a control under heteroscedastic normal distributions ⋮ Ranking and selection for pairwise comparison ⋮ Efficient subset selection for the expected opportunity cost ⋮ Information theory for ranking and selection ⋮ On the finite-sample statistical validity of adaptive fully sequential procedures ⋮ Indifference-Zone-Free Selection of the Best ⋮ Metamodel-based simulation optimization considering a single stochastic constraint ⋮ Simulation optimization for stochastic casualty collection point location and resource allocation problem in a mass casualty incident ⋮ A New Budget Allocation Framework for the Expected Opportunity Cost ⋮ Efficient Ranking and Selection in Parallel Computing Environments ⋮ Selecting the best simulated system with weighted control-variate estimators ⋮ Retrospective optimization of mixed-integer stochastic systems using dynamic simplex linear interpolation ⋮ An efficient simulation budget allocation method incorporating regression for partitioned domains ⋮ Tractable Sampling Strategies for Ordinal Optimization ⋮ Selecting the best stochastic system for large scale problems in DEDS. ⋮ Methods for System Selection Based on Sequential Mean–Variance Analysis ⋮ Simple Bayesian Algorithms for Best-Arm Identification ⋮ A combined procedure for discrete simulation-optimization problems based on the simulated annealing framework ⋮ Selecting the Normal Population with the Smallest Coefficient of Variation ⋮ Considering sample means in Rinott's procedure with a Bayesian approach ⋮ Differentiated service inventory optimization using nested partitions and MOCBA ⋮ Controlled multistage selection procedures for comparison with a standard ⋮ A revisit of two-stage selection procedures ⋮ Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem ⋮ Comparison with a standard via all-pairwise comparisons ⋮ Fully sequential procedures for comparing constrained systems via simulation ⋮ An enhanced lognormal selection procedure ⋮ Selection Procedures for Simulations with Multiple Constraints under Independent and Correlated Sampling ⋮ Selecting the best normal population better than a standard under unequal variances ⋮ Sequential selection procedures: using sample means to improve efficiency ⋮ Solution quality of random search methods for discrete stochastic optimization ⋮ A general framework on the simulation-based optimization under fixed computing budget ⋮ Simulation-based optimization for discharge/loading operations at a maritime container terminal ⋮ Pareto set estimation with guaranteed probability of correct selection ⋮ Fully Sequential Procedures for Large-Scale Ranking-and-Selection Problems in Parallel Computing Environments ⋮ A multi-objective selection procedure of determining a Pareto set ⋮ A New Approach to Determine the Pilot Sample Size in Two-Stage Sampling ⋮ Some comments on two-stage selection procedures ⋮ A Personal Tribute to Milton Sobel: Selecting the Best Treatment ⋮ Selection of the Best from Lognormal Populations Using Type-II Censored Data: Unknown σi2Case ⋮ Selection and Ranking Procedures–Some Personal Reminiscences, and Thoughts about its Past, Present, and Future ⋮ Ranking and Selection Techniques with Overlapping Variance Estimators for Simulations ⋮ A quantile-based approach to system selection ⋮ Efficient Sampling Allocation Procedures for Optimal Quantile Selection ⋮ Pattern search ranking and selection algorithms for mixed variable simulation-based optimization ⋮ Integration of indifference-zone with multi-objective computing budget allocation ⋮ Three stage elimination type procedures for selecting the best normal population when variances are unknown ⋮ Sequential and two-stage procedures for selecting the better exponential population covering the case of unknown and unequal scale parameters ⋮ Optimal budget allocation policy for tabu search in stochastic simulation optimization ⋮ Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments
Cites Work
This page was built for publication: On two-stage selection procedures and related probability-inequalities