Simple methods for evaluating and comparing binary experiments
From MaRDI portal
Publication:993502
DOI10.1007/s11238-009-9136-4zbMath1233.91084OpenAlexW3125755340MaRDI QIDQ993502
Publication date: 20 September 2010
Published in: Theory and Decision (Search for Journal in Brave)
Full work available at URL: http://infoscience.epfl.ch/record/187478
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian problems; characterization of Bayes procedures (62C10) Decision theory (91B06)
Related Items (3)
Screening for experiments ⋮ Managerial reputation, risk-taking, and imperfect capital markets ⋮ On the economic value of signals
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Monotone comparative statics: geometric approach
- Comparing location experiments
- Selling less information for more: garbling with benefits
- On a Measure of the Information Provided by an Experiment
- Classification Procedures Based on Bayes's Formula
- On the Foundations of Statistical Inference
- The Validity of the Likelihood Principle
- Combining Expert Judgments: A Bayesian Approach
- Aggregating Point Estimates: A Flexible Modeling Approach
- LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S
- IX. On the problem of the most efficient tests of statistical hypotheses
- The Bayesian Analysis of Contingency Tables
- Envelope Theorems for Arbitrary Choice Sets
- Uncertainty, Information, and Sequential Experiments
- On Cash Equivalents and Information Evaluation in Decisions Under Uncertainty: Part I: Basic Theory
- On the Foundations of Statistical Inference: Binary Experiments
- Contributions to the Theory of Statistical Estimation and Testing Hypotheses
- A Solution to the Problem of Optimum Classification
- Equivalent Comparisons of Experiments
- The elements of statistical learning. Data mining, inference, and prediction
This page was built for publication: Simple methods for evaluating and comparing binary experiments
