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With the rapid development of Internet technologies such as cloud computing and big data, the scales of distributed information systems in big companies have grown to enormous sizes. Automatic detection and diagnosis of system faults in the large-scale information systems is complicated and important in both practice and research. In this paper, we propose a Graph-based Fault Diagnosis approach in...
The two-group comparison remains to be one of the most basic tasks in statistical analysis. In comparing the distribution of ordinal responses between two groups, Mann-Whitney Wilcoxon test is often used for hypothesis testing, while the proportional odds model is employed for characterizing the between group difference. This synthetic approach raises an important question that whether the results...
Statistical testing based on a Markov chain usage model, as a rigorous testing method, has been around for more than two decades. Through the comprehensive application of statistical science to the testing of software, it provides audit trails of evidence to support correctness arguments for a software-intensive system as well as a decision that the system is of requisite quality for its intended...
Performing large scale hypothesis testing on brain imaging data to identify group-wise differences (e.g., between healthy and diseased subjects) typically leads to a large number of tests (one per voxel). Multiple testing adjustment (or correction) is necessary to control false positives, which may lead to lower detection power in detecting true positives. Motivated by the use of socalled "independent...
In this paper we address three open questions regarding randomness test: the probability of false acceptance, the number of minimum sample size to achieve a given probability error and tests independence. We shall point out statistical testing assumptions, source of errors, sample constructions and a computational method for determining the probability of false acceptance and estimating the correlation...
As the inspection requirement of engineering machinery cab is analyzed, the intelligent detection system for cab based on compactRIO(CRIO) is designed, which is combined with NI LabVIEW and embedded modules of CRIO. In engineering Machinery cab, the designed system can realize intelligent supervisory and networking management of testing data for electrical system. And then, a set of complete and systematic...
In the last few years, composite materials have found an important niche of application in several industries, mainly because of their improved mechanical properties (higher stiffness, strength and resistance to fatigue). In this context, sandwich-composites, a special class of composite materials - are commonly used in the aerospace industry to manufacture lighter components. The increasing use of...
We consider regression testing of safety-critical systems consisting of black-box components. This scenario is common for automotive electronic systems where testing time is expensive and should be reduced without uncontrolled reduction of reliability. This requires a methodology to select test cases from a larger test suite for which a defined quality level of the resulting regression test cycle...
In this paper, a statistical study is carried out to establish the detectability of detergent and shampoo adulterated milk detection system which is basically built using phase angle measurement technique. Based on the experimental data, different statistical analysis is designed using Minitab software. A polymer coated fractional order capacitance sensor is used here for data collection purpose....
While the topic of validating simulation models is rich in literature, validating the environments in which models run has been poorly researched. Despite the fact that such environments have high face validity, in most of the cases there are no formal methods developed for validating them. In this project, we first distinguish between the different forms of validity, such as data, model, and environment...
Applications are generally written assuming a predictable and well-behaved OS. In practice, they experience unpredictable misbehavior at the OS level and across OSes: different OSes can handle network events differently, APIs can behave differently across OSes, and OSes may be compromised or buggy. This unpredictability is challenging because its sources typically manifest during deployment and are...
A/B testing is one of the most successful applications of statistical theory in the Internet age. A crucial problem of Null Hypothesis Statistical Testing (NHST), the backbone of A/B testing methodology, is that experimenters are not allowed to continuously monitor the results and make decisions in real time. Many people see this restriction as a setback against the trend in the technology toward...
Investigating the occurrence rate of two-letters consonant clusters in the Romanian lexicon, we rank the clusters by their frequency and determine those with minimal occurrence rates. Our table of infrequent consonant clusters can be used to construct Romanian utterances for voice-based biometrics authentication platforms. The main message of our results is that one should go beyond the somewhat standard...
In the paper some statistical tests intended for testing of uniformity have been considered. Distributions of test statistics, the power of tests under different competing hypotheses have been studied. Considered tests have been ranked by the test power. Advantages and disadvantages of individual tests have been shown. Also, it has been shown that the large part of the tests traditionally used for...
The main goal of the work presented in this paper was to develop a set of algorithms which allows to predict what will be the probability ratio of acquisition of the items form the given database. To fulfill this goal, the appropriate statistical methods were developed, mainly using R programming language. In order to apply the specific statistical methods, the appropriate database preprocessing was...
Beef quality is determined by a number of parameters; some of which include size, texture, color feature, or meat smell. Recently, determining the meat quality is done by seeing the color and shape. However this method still has some weaknesses due to, for example, the subjectivity and inconsistency in human assessment. The aim of this research is to make an application to detect the meat quality...
One-way analysis of covariance is a popular and common statistical method, wherein the equality of the means of several random variables which have a linear relationship with a random mathematical variable, is tested. In this study by using Dlr metric, a method is presented to improve the one-way analysis of covariance when there is an uncertainty in accepting the statistical hypotheses. The method...
Software bugs contribute to the cost of ownership for consumers in a software-driven society and can potentially lead to devastating failures. Software testing, including functional testing and structural testing, remains a common method for uncovering faults and assessing dependability of software systems. To enhance testing effectiveness, the developed artifacts (requirements, code) must be designed...
One of the most suited techniques for comparing results obtained from computational intelligence algorithms is the statistical hypothesis testing. This method can be used to contrast if the difference between the algorithm with the best results and other algorithms is actually significant. In this paper, we present STAC (Statistical Tests for Algorithms Comparison), a new platform for statistical...
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