Accept or reject? An organizational perspective

An improvement to the linear accept/reject algorithm

An Accept-Reject Algorithm For the Positive Multivariate Normal Distribution

The need to simulate from a positive multivariate normal distribution arises in several settings, specifically in Bayesian analysis. A variety of algorithms can be used to sample from this distribution, but most of these algorithms involve Gibbs sampling. Since the sample is generated from a Markov chain, the user has to account for the fact that sequential draws in the sample depend on one ano...

CAN member tools: the right to accept or reject an assignment.

The American Nurses Association (ANA) believes that nurses should reject any assignment that puts patients or themselves in serious, immediate jeopardy. ANA supports the nurses obligation to reject an assignment in these situations even where there is not a specific legal protection for rejecting such an assignment. The professional obligations of the nurse to safeguard clients are grounded in ...

Rao Blackwellization of Generalized Accept Reject Schemes

This paper extends the accept reject algorithm to allow the pro posal distribution to change at each iteration We rst establish a necessary and su cient condition for this generalized accept reject al gorithm to be valid and then show how the Rao Blackwellization of Casella and Robert can be extended to this setting An impor tant application of these results is to the perfect sampling technique...

Accept-Reject Decisions and Probabilistic Failure Prediction

The purpose of this paper is to discuss recent progress in the development of an NDE decision formalism applied to the case of brittle fracture in ceramics. The on-line input into the formalism is a set of nondestructive (ND) measurements and the on-line output is the probability of failure conditioned on the above measurements. The final accept-reject decision depends only upon the comparison ...