Recently it was suggested that the Bayes risk might be used to characterize tests. To conform to common practices about indexes, a rescaling of the Bayes risk was proposed. The motivation for this new coefficient, d, was to provide an index that has a large value when the Bayes risk is small and that has a value in the closed interval [0, 1]. However, since d might have a value outside this range, a modification of d is described which yields an index that always has a value between zero and one
Bayes solutions are obtained for some specific simple statistical decision problems which may be sta...
Since several students got the intuition that natural catastrophes might be non-insurable (underlyin...
30 pages, 1 article*The Use of Estimated Bayes Risk as a Criterion for Selecting Groups of Allocatio...
Recently it was suggested that the Bayes risk might be used to characterize tests. To conform to com...
The P value was introduced as a value to evaluate the results of statistical tests. The basic concep...
In general, model selection is an important prelude to subsequent statistical inference in risk asse...
The main objective of this paper is to find the relation between the adaptive significance level pre...
A nonnegative martingale with initial value equal to one measures evidence against a probabilistic h...
Procedures used for statistical inference are receiving increased scrutiny as the scientific communi...
Traditionally, the use of Bayes factors has required the specification of proper prior distributions...
The p-value quantifies the discrepancy between the data and a null hypothesis of interest, usually t...
This article argues that researchers do not need to completely abandon the p-value, the best-known s...
From a decision theoretic point of view a general coefficient for tests, d, is derived. The coeffici...
In this paper we study Bayes factors and special p-values in their capacity of approximating interv...
Using as an experimental model the results obtained in assaying thyroid hormones and tumor markers, ...
Bayes solutions are obtained for some specific simple statistical decision problems which may be sta...
Since several students got the intuition that natural catastrophes might be non-insurable (underlyin...
30 pages, 1 article*The Use of Estimated Bayes Risk as a Criterion for Selecting Groups of Allocatio...
Recently it was suggested that the Bayes risk might be used to characterize tests. To conform to com...
The P value was introduced as a value to evaluate the results of statistical tests. The basic concep...
In general, model selection is an important prelude to subsequent statistical inference in risk asse...
The main objective of this paper is to find the relation between the adaptive significance level pre...
A nonnegative martingale with initial value equal to one measures evidence against a probabilistic h...
Procedures used for statistical inference are receiving increased scrutiny as the scientific communi...
Traditionally, the use of Bayes factors has required the specification of proper prior distributions...
The p-value quantifies the discrepancy between the data and a null hypothesis of interest, usually t...
This article argues that researchers do not need to completely abandon the p-value, the best-known s...
From a decision theoretic point of view a general coefficient for tests, d, is derived. The coeffici...
In this paper we study Bayes factors and special p-values in their capacity of approximating interv...
Using as an experimental model the results obtained in assaying thyroid hormones and tumor markers, ...
Bayes solutions are obtained for some specific simple statistical decision problems which may be sta...
Since several students got the intuition that natural catastrophes might be non-insurable (underlyin...
30 pages, 1 article*The Use of Estimated Bayes Risk as a Criterion for Selecting Groups of Allocatio...