Displaying all 2 publications

Abstract:
Sort:
  1. Woon, You Huay
    MyJurnal
    The assumption when constructing a control chart is that the process parameters, i.e. mean and standard deviation, are known. Nevertheless, this assumption is not realistic in practical situations. In most of the application of a control chart, the mean and standard deviation are unknown and are estimated from an in-control Phase-I samples. When the process parameters are estimated, the control chart performs differently compared with the corresponding chart with known process parameters because of the variability of estimators. The usual practice to evaluate the performance of a control chart is to use the average run length (ARL). The ARL is the average number of samples plotted on a control chart before an out-of-control signal is detected. In addition, the expected ARL (EARL) is used as a performance measure for the random process mean shift. In this article, the performance of the side sensitive group runs (SSGR) chart with known and estimated process parameters are studied and examined in terms of ARL and EARL.
  2. Woon YH, Suhaini SA
    Data Brief, 2021 Apr;35:106501.
    PMID: 33997187 DOI: 10.1016/j.dib.2020.106501
    A caesarean section (CS) is a common birth delivery mode, which involves delivery of the baby through a surgical incision on the mother's abdomen and uterus. This article presents a survey dataset on the perception and response of women about the CS. This survey employed a quantitative research design. The data were collected by means of a face to face questionnaire. Majority of the respondents are in the age range of 31 - 40 years old. The findings indicate that the respondents mainly refer to the internet to obtain information about the birth delivery mode that helped the respondents to decide on their mode of preference. This is followed by obstetrician/midwife and friends. Various statements were used to determine the perception of respondents towards CS.
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links