STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS

Artikel in diesem Heft

1. ON THE USE OF INFORMATION IN MARKOV DECISION PROCESSES
2. A LEARNING APPROACH TO SEQUENTIAL DESIGN: INFINITE HORIZON
3. ASYMPTOTIC RESULTS FOR SEQUENTIAL MARKOV DECISION MODELS UNDER UNCERTAINTY
4. SELECTING A GROUP OF TREATMENTS BETTER THAN A STANDARD IN A REPEATED MEASUREMENT’S DESIGN
5. IMPROVING k-STAGE SAMPLING PLANS BY ATTRIBUTES WITH THE AID OF (k + 1)-STAGE SAMPLING PLANS AND AN APPLICATION TO THE CASE k = 1
6. DISTINGUISHABILITY AND INVARIANCE
7. MULTIHIΤ MODELS FOR BIVARIATE QUANTAL RESPONSES
8. ON HAJEK’S CONVOLUTION THEOREM
9. ON A RESULT OF GLICK IN SAMPLE-BASED MULTINOMIAL CLASSIFICATION
10. ON THE EXISTENCE OF PROBABILITY MEASURES WITH GIVEN MARGINALS
11. ON THE THEORY OF ROTATIONALLY SYMMETRIC RANDOM VECTORS
12. STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS
13. INSTRUCTIONS TO AUTHORS