Kuo-Ching Chiou

Average type‐II censoring times for two‐parameter Pareto and Rayleigh distributions

Reliability engineers must not only consider the consumption of energy, capital and material resources, but also seek more economic means of completing experiments effectively. This study derives formulae for computing ratios of expected type‐II censoring times and expected complete sampling times when the lifetime adheres to two‐parameter Pareto and Rayleigh distributions. Utilizing such formulae allows the construction of tables providing information about how much experiment time can be saved by employing a type‐II censoring plan instead of a complete sampling plan. Engineers can employ the proposed tables to determine the censoring number, the initial sample size and the other relevant parameters for reducing the total experiment time. Illustrative examples demonstrate the effectiveness of the proposed procedure.

Applying an eBook Tool with Lecturing Function and a Game-Based Student Response System in Flipped Classroom for a Seminar Course

The paper presents a teaching model using an ebook tool with lecturing function and a game-based student response system in flipped classroom for a seminar course for graduate students. The ebook tool with lecturing function helps presenters (students) to easily display their multimedia materials by dual-codes mode and to interact their presentation with students (audience) by handwriting, a screen including video and powerpoint slides, two-pages swapping, etc. The Game-based Student Response System is utilized in the teaching model to increase more interactions among presenter and audience by answering questions using mobile devices in a game-like fashion.

Develop the Interactive Feedback Portfolio System with iBeacon Technology Applied in Flipped Classroom Learning Activities.

The paper proposes an interactive feedback portfolio (IFEP) system with iBeacon technology which is used in classroom to support the flipped classroom learning activities. The use of the IFEP system aims at promoting high interaction in classroom learning, which consists of APPs students used and web-interface functions teachers utilized. Students enable the APP in their smart phones and then the APP scan iBeacon devices. The detection statuses of iBeacon devices in classrooms can be automatically recorded in the cloud space. As a result, students’ presence in classroom can be obtained automatically. Teachers can use another function the IFEP system offers to promote the interaction in classroom via displaying questions on the front screen in classroom. Meanwhile, it pushes (multicasts) these questions to students’ smart phones via web-socket technology. Subsequently, students employ APP to feedback their responses to these questions. During collecting students’ responses, the system also exhibits the temporary results of students’ responses on screen and displays count-down time signal. This way can inspire students’ interaction and interest to join the quiz-like activities. Teachers can quickly get the results of responses for students’ answers. These results including students’ presence in classroom and correction rates students’ responses can be readily analyzed for their correlations on learning performance in the future. Moreover, teachers can quickly obtain students’ learning achievements in classroom and then teachers may adjust their instructional strategies.

Evaluation of median rankit control charts based on statistical efficiency

Abstract The median rankit control chart produced by a quantile approach has been presented and discussed in some quality literature to place emphasis on usefulness for a process with non-normal observations. Nevertheless, the ability of median rankit charts to detect the process change has not been examined now. To fit this gap, this paper presents the performance of the median rankit chart in terms of the average run length that is widely used to assess the statistical efficiency of a control chart. Under the assumption of process observations from the normal distributions or from some non-normal distributions (heavytailed symmetric and skewed distributions), above results are also compared to that for the individual Shewhart chart and EWMA chart.

An evaluation of median Rankit control charts

The median rankit control chart produced by a quantile approach has been presented in some quality literature to place emphasis on usefulness for a process with non-normal observations. Nevertheless, the ability of the median rankit chart to detect the process change has not been examined. To bridge the gap, the average run length of the median rankit chart that is widely used to assess the performance of control charts is presented. Under the assumption of process observations from the normal distributions or from some non-normal distributions (heavy-tailed symmetric and skewed distributions), this study also compares the median rankit with the individual Shewhart chart and EWMA chart in terms of their average run length.

A Study on Imputing Censored Observations for Exponential Distribution Based on Random Censoring

Censoring models are frequently employed in reliability analysis to reduce experimental time. There are three censoring model: type-I, type-II and random censoring. In this study, we focus on the right-random censoring model. In the previous literature, an imputation of the censored observation is considered as the censoring time (Miller (1981), Lawless (1982), Lee (1992) and among others). Clearly, the censored observation is imputed by the censoring time to underestimate the original failure time. In this paper, we consider the failure time to follow an exponential distribution, and alternatively we attempt to propose three measures to impute the censored observations. By Monte Carlo simulation, the goodness of fit test is employed to compare the four methods of imputing censored observations. It is found that the method of imputing censored data by censoring time little outperforms the other three imputing methods.