In this paper, we estimate the multicomponent stress-strength reliability by assuming the Burr-XII distribution. The research methodology adopted here is to estimate the parameters by using maximum likelihood estimation. The reliability is estimated using the maximum likelihood method of estimation and results are compared using the Monte-Carlo simulation for small samples. By using real data s...

This paper considers an important concept which suggested to take stock of the over estimation in reliability characteristics or under estimation of hazard rate. Using this concept, the study considers the analysis of the reliability characteristics of an exponential lifetime model when prior variations in its parameters are suspected.

This paper puts forward a reliability estimation method by the Degradation Amount Distribution (DAD) of products, using a composite time series modeling procedure and grey theory based on a random failure threshold. Product DAD data are treated as a composite time series and described using a composite time series model to predict a long-term trend of degradation. The degradation test is proces...

We present a methodology of reliability estimation in the multimodal biometric verification scenario. Reliability estimation has shown to be an efficient and accurate way of predicting and correcting erroneous classification decisions in both unimodal (speech, face, online signature) and multimodal (speech and face) systems. While the initial research results indicate the high potential of the ...

In this paper, we study the software reliability measurement method of reliability testing metrics. Software reliability is very important. But, it is very difficult to test for software reliability measurement. So we describes the software reliability metrics for ISO/IEC 9126, and we introduce GammaLomax software reliability model for multiple error debugging. And we calculate the software rel...

Black box reliability analysis (P. 111): Estimation of the software reliability based on failure observations from testing or operation. These approaches are called black box approaches because internal details of the software are not considered. Software metric based reliability analysis (P. 115): Reliability evaluation based on the static analysis of the software (e.g., lines of code, number ...

In this paper we analyze reliability estimation and software performance in software testing. One of the important verification and validation techniques is statistical test which is one of the dynamic techniques. We use statistical test in order to improve software performance. By this work we put sets of data in one case study and by presenting a model-based life cycle we will enhance reliabi...

For the current advanced technology nodes, the end-of-life and reliability statistics estimation is regarded as a key component of devices dynamic reliability management frameworks. An accurate estimation can enable effective lifetime management via adopting appropriate mission profile specific policies. This paper proposes an end-of-life and reliability estimation framework, which takes into a...

In the past decades Machine Learning tools have been successfully used in several medical diagnostic problems. While they often significantly outperform expert physicians (in terms of diagnostic accuracy, sensitivity, and specificity), they are mostly not used in practice. One reason for this is that it is difficult to obtain an unbiased estimation of diagnose’s reliability. We propose a genera...

In this paper we propose a method for estimating the motion parameters for a rotating camera with a possibly changing focal length. This method is suitable for analysing sport event videos. The estimation process consists of three stages: (1) robust estimation of the 2-D translational components, (2) 2-D block-based motion estimation and (3) robust estimation of a parametric motion model. For m...