We address the problem of selecting the best of a set of units based on a criterion variable, when its value is recorded for every unit subject to estimation, measurement, or another source of error. The solution is constructed in a decisiontheoretical framework, incorporating the consequences (ramifications) of the various kinds of error that can be committed. The related problems of classifying the units to a small number of groups and ranking them are solved by a similar approach. An application is presented involving retention rates in the undergraduate courses of a university
International audienceThree main approaches presently dominate preferences derivation or evaluation ...
It has long been supposed that preference judgments between sets of to-be-considered possibilities a...
This thesis uses the Decision by Sampling model as a basis for examining effects of rank order encod...
Various forms of performance assessment are applied to public service institutions, such as hospital...
The classification problem consists of assigning subjects to one of several available treatments on ...
The classification problem consists of assigning subjects to one of several available treatments on ...
Multiple decision theory is concerned with those decision problems in which there are a finite numbe...
Classification decisions relate to situations in which a battery of predictors is used to assign ind...
In a course in elementary statistics for psychology students using criterion-referenced achievement ...
This paper describes and evaluates the use of measurement decision theory (MDT) to classify examinee...
This paper presents some Bayesian theories of simultaneous optimization of decision rules for test-b...
Item responses on an operational state assessment were calibrated and analyzed using decision theory...
From a decision theoretic point of view a general coefficient for tests, d, is derived. The coeffici...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
International audienceThree main approaches presently dominate preferences derivation or evaluation ...
It has long been supposed that preference judgments between sets of to-be-considered possibilities a...
This thesis uses the Decision by Sampling model as a basis for examining effects of rank order encod...
Various forms of performance assessment are applied to public service institutions, such as hospital...
The classification problem consists of assigning subjects to one of several available treatments on ...
The classification problem consists of assigning subjects to one of several available treatments on ...
Multiple decision theory is concerned with those decision problems in which there are a finite numbe...
Classification decisions relate to situations in which a battery of predictors is used to assign ind...
In a course in elementary statistics for psychology students using criterion-referenced achievement ...
This paper describes and evaluates the use of measurement decision theory (MDT) to classify examinee...
This paper presents some Bayesian theories of simultaneous optimization of decision rules for test-b...
Item responses on an operational state assessment were calibrated and analyzed using decision theory...
From a decision theoretic point of view a general coefficient for tests, d, is derived. The coeffici...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
International audienceThree main approaches presently dominate preferences derivation or evaluation ...
It has long been supposed that preference judgments between sets of to-be-considered possibilities a...
This thesis uses the Decision by Sampling model as a basis for examining effects of rank order encod...