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Performing statistical inference on massive data sets may not be computationally feasible using the conventional statistical inference methodology. In particular, there is a need for methods that are scalable to large volume and variability of data. Moreover, veracity of the inference is crucial. Hence, there is a need to produce quantitative information on the statistical correctness of parameter...
The purpose of this paper is to share some practical applications of advanced probabilistic models in reliability data analysis. In particular, we will focus on reliability models with fixed and time-dependent covariates. While these models are popular in biological and medical studies, their application in engineering reliability data analysis is still limited. As a special advanced topic, we also...
Online reviews have been one of the important determinants to influence consumers' purchasing intention. This research builds a model to explore how online reviews influence consumers' purchasing intention. The empirical research results show that: Firstly, customers' perceived credibility of online reviews positively affects cognitive and emotional trust in online sellers, which results in purchasing...
The scale and speed of today's software development efforts impose unprecedented constraints on the pace and quality of decisions made during planning, implementation, and postrelease maintenance and support for software. Decisions during the planning process include level of staffing and choosing a development model given the scope of a project and timelines. Tracking progress, course correcting,...
Reliability growth methodology is a valuable tool to measure product reliability improvement either through planned, dedicated testing or the gradual upgrade and improvement of the fielded product. The methodology is well thought of with appropriate process mathematical assumptions so that when applied, it provides appropriate and justifiable information and tracking of reliability improvement. The...
Modern aerospace systems are often subject to multiple modes of failure. Unless the failure modes have radically different statistical characteristics, it can be very difficult to recognize in failure data that multiple failure modes are in play. When using graphical inferential methods for reliability analysis, the potential for multiple failure modes may be suggested by a bent regression line. Subsequent...
This paper presents various models to estimate reliability for a future profile with increased stress using the current observations to develop a model for future reliability. For the foreseeable future the equipment itself will not change, and thus the increase of the load or stress, that the system is exposed to, may decrease reliability and increase maintenance. The model is required to determine...
Reliability assessment method based on performance degradation data has been proven to be useful when dealing with products characterized as long-life and highly reliable. However, this method can hardly be applied when measurement of performance degradation is technically difficult or costly. To tackle this problem, this paper proposes to utilize the measurement data which are related to the performance...
Performance modelers typically use Markov models associated with their analysis of computer systems. This tutorial introduces additional probabilistic models (e.g., competing risks, proportional hazards) and the associated statistical methods that are commonly used in reliability engineering and biostatistics to complement the Markov models.
The accuracy and fairness of the assessment results to a large extent limited by the choice of methods of assessment data processing. In the current practice of the equipment support core competencies (ESCC) assessment, there are two methods of assessment data processing mainly used, which are named the simple arithmetic average method and the weighted arithmetic average method. In this paper, an...
Under various rules of failure intensity of repairable systems, a generalized reliability growth model has been presented to assess the reliability of repairable system. For the estimation of the model parameters, MLE method has been used, both for time censored and failure censored data. For the test data of some system, the goodness-of-fit test and reliability growth assessment were carried out...
According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree of traffic information based on floating car is designed considering sample sizes of floating car, and...
For long lifetime and high reliability products, it is difficult to obtain failure time data in a short time period. Hence, Accelerated Degradation Testing (ADT) is presented to deal with the cases that few or no failure time data could be obtained but degradation data of the primary parameter of the product are available. Step-Stress ADT (SSADT) is commonly used for the advantage that it needs only...
In the analysis of data for the reliability in CNC system, people commonly do not consider censored time. With the continuous improvement of reliability in CNC system, the failure rate is usually low in the timing censored test. All these produce a certain error in data analysis and parameter estimation. To solve this problem, this paper proposed to use censored data in the data analysis. First pre-process...
Constant Stress Accelerated Degradation Testing (CSADT) is commonly used to evaluate the lifetime of long lifetime and high reliable products, such as Super Luminescent Diode (SLD). Previous works on CSADT use deterministic function to describe the product degradation and they are not considered adequately. This paper proposes a CSADT data analysis method based on time series method. It proposes a...
Accelerated life testing (ALT) is used to obtain timely failure data to estimate life or reliability of the products under normal or special conditions. In the real situations, most failures at the system level are due to the failing of one component. The failed system is then repaired after the failure is detected. Most life data analysis of ALT addresses only non-repairable systems; no adequate...
The implementation of a NASA policy to collect R&M data to support ongoing and future projects has been limited, due in part to NASA's organization into largely independently operating programs and projects and the lack of a structured approach for the distribution of R&M data across those programs and projects. This paper describes the concept of a data collection and analysis environment...
This paper analyzes the relation between peer review and multi-indicators evaluation for scientific and technical assessment. Based on the data of the 2007 Times Higher-QS world university rankings, we use two methods, multiple linear regression analysis and kappa agreement test, for analysis. The results show that the data abundance affects the agreement between peer review and multi-indicators evaluation...
Consumers' loyalty is essential to the enterprises' success in e-commerce. In order to find out which factors have impact on consumer loyalty, a literature review was employed using content analysis and a "7C" model of consumer loyalty in B2C e-commerce was built. Then we did an empirical research to prove the reliability of the model. A questionnaire wad designed and data were collected...
Several vulnerability analysis techniques in web-based applications detect and report on different types of vulnerabilities. However, no single technique provides a generic technology-independent handling of Web-based vulnerabilities. In this paper we present our experience with and experimental exemplification of using the application vulnerability description language (AVDL) to realize a unified...
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