Optimum Invariant Tests

"optimum" Non.parametric Tests

Bayesian Optimum Planning for Accelerated Life Tests

This paper describes a Bayesian method for optimum accelerated life test planning with one accelerating variable, when the acceleration model is linear in the parameters, based on censored data from a log-location-scale distribution. We use a Bayesian criterion based on estimation precision of a distribution quantile at a specified use condition and use this criterion to find optimum test plans...

Asymptotically optimum tests for decentralized change detection

Assuming that sensors have full local memory, we introduce a novel test for the problem of decentralized change detection that is asymptotically optimum. According to our proposed scheme, sensors perform locally repeated SPRTs and communicate, asynchronously, their one-bit decisions to a fusion center. The fusion center in turn uses the sequentially acquired information to perform a CUSUM test ...

OPTIMUM GENERALIZED COMPOUND LINEAR PLAN FOR MULTIPLE-STEP STEP-STRESS ACCELERATED LIFE TESTS

In this paper, we consider an  i.e., multiple step-stress accelerated life testing (ALT) experiment with unequal duration of time . It is assumed that the time to failure of a product follows Rayleigh distribution with a log-linear relationship between stress and lifetime and also we assume a generalized Khamis-Higgins model for the effect of changing stress levels. Taking into account that the...

Synthesizing Parameterized Unit Tests to Detect Object Invariant Violations

Automatic test case generation techniques rely on a description of the input data that the unit under test is intended to handle. For heap data structures, such a description is typically expressed as some form of object invariant. If a program may create structures that violate the invariant, the test data generated using the invariant systematically ignores possible inputs and, thus, potentia...