Kang-Ping Lu

• National Taichung University of Science and Technology

Two problems concerning detecting change-points in linear regression models are considered. One involves discontinuous jumps in a regression model and the other involves regression lines connected at unknown places. Significant literature has been developed for estimating piecewise regression models because of their broad range of applications. The...

This paper presents a robust method for dealing with switching regression problems. Regression models with switch-points are broadly employed in diverse areas. Many traditional methods for switching regressions can falter in the presence of outliers or heavy-tailed distributions because of the modeling assumptions of Gaussian errors. The outlier co...

Regression models with change-points have been widely applied in various fields. Most methodologies for change-point regressions assume Gaussian errors. For many real data having longer-than-normal tails or atypical observations, the use of normal errors may unduly affect the fit of change-point regression models. This paper proposes two robust alg...

This article presents a robust fuzzy procedure for estimating change-point regression models. We propose incorporating the fuzzy change-point algorithm with the M-estimation technique for robust estimations. The fuzzy c partitions concept is embedded into the change-point regression model so the fuzzy c-regressions and fuzzy c-means clustering can...

In the analysis of survival data, the problems of competing risks arise frequently in medical applications where individuals fail from multiple causes. Semiparametric mixture regression models have become a prominent approach in competing risks analysis due to their flexibility and easy interpretation of resultant estimates. The literature presents...

This paper proposes a robust procedure for solving multiphase regression problems that is efficient enough to deal with data contaminated by atypical observations due to measurement errors or those drawn from heavy-tailed distributions. Incorporating the expectation and maximization algorithm with the M-estimation technique, we simultaneously deriv...

Process data provide important information for monitoring product quality. A common problem of process readings is their deviation from in-control values due to systematic errors or instrument biases. Timely detection and modification of instrument fault is crucial for process manipulation. Monitoring changes in process mean and variance simultaneo...

Piecewise regression models have been widely applied to various areas in which break-point detection is important and break locations in piecewise regression models are essential to know when and how the pattern of data structure changes. One major difficulty with likelihood approaches to break-point location for regression models is the non-smooth...

Knowing the time of changes, called change-point (CP), in a process is crucial for engineers to recognize the root cause fast and accurately. Since special causes may induce simultaneous changes in mean and variance, detecting changes in both at once is required. Many methodologies in quality control were developed for detecting changes in either m...

Change-point (CP) regression models have been widely applied in various fields, where detecting CPs is an important problem. Detecting the location of CPs in regression models could be equivalent to partitioning data points into clusters of similar individuals. In the literature, fuzzy clustering has been widely applied in various fields, but it is...

In 1993, Hathaway and Bezdek combined switching regressions with fuzzy c-means (FCM) to create fuzzy c-regressions (FCR). The FCR algorithm had been widely studied and applied in various areas. However, membership of the FCR does not always correspond to the degree of belonging and it can be inaccurate in a noisy environment. Krishnapuram and Kelle...

To assess the associated risk factors for daytime urinary frequency among Taiwanese women aged = 60 years. Daytime urinary frequency, defined by the International Continence Society, and its associated problems were evaluated, and medical history and sociodemographic variables were recorded. A total of 2,410 women were selected by a multistage rand...

To evaluate the prevalence of daytime urinary frequency among Taiwanese women aged 60 years and older. There were an estimated 1.25 million female residents aged 60 years and over in Taiwan in 2000. A sample of 2,410 women was selected using a multistage random sampling method. Face-to-face visits with 1,523 women were completed by trained professi...