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Archive | 1992

Optimum Experimental Designs

J. Kiefer

After some introductory remarks, we discuss certain basic considerations such as the nonoptimality of the classical symmetric (balanced) designs for hypothesis testing, the optimality of designs invariant under an appropriate group of transformations, etc. In section 3 we discuss complete classes of designs, while in section 4 we consider methods for verifying that designs satisfy certain specific optimality criteria, or for computing designs which satisfy such criteria. Some of the results are new, while part of the paper reviews pertinent results of the author and others.


Annals of Mathematical Statistics | 1952

Stochastic Estimation of the Maximum of a Regression Function

J. Kiefer; J. Wolfowitz


Annals of Mathematical Statistics | 1956

Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters

J. Kiefer; J. Wolfowitz


Annals of Mathematical Statistics | 1959

Optimum Designs in Regression Problems

J. Kiefer; J. Wolfowitz


Annals of Mathematical Statistics | 1956

Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator

A. Dvoretzky; J. Kiefer; J. Wolfowitz


Proceedings of the American Mathematical Society | 1953

Sequential minimax search for a maximum

J. Kiefer


Transactions of the American Mathematical Society | 1955

On the theory of queues with many servers

J. Kiefer; J. Wolfowitz


Annals of Mathematical Statistics | 1958

On the Nonrandomized Optimality and Randomized Nonoptimality of Symmetrical Designs

J. Kiefer


Annals of Mathematical Statistics | 1953

Sequential Decision Problems for Processes with Continuous time Parameter. Testing Hypotheses

A. Dvoretzky; J. Kiefer; J. Wolfowitz


Biometrika | 1975

Optimal design: Variation in structure and performance under change of criterion

J. Kiefer

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