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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/59284


    Title: 追蹤季節性時間數列模型之流程資料
    Monitoring process data with seasonal time series model
    Authors: 王儀茹
    Contributors: 楊素芬
    鄭宗記
    王儀茹
    Keywords: 季節性時間數列
    信賴帶
    自我相關製程
    Seasonal time series model
    Confidence band
    Autocorrelated process
    Date: 2012
    Issue Date: 2013-09-02 15:36:09 (UTC+8)
    Abstract: 追蹤季節性時間數列模型之流程資料
    Control charts are designed and evaluated under the assumption that the observations from the process are independent and identically distributed. However, the independence assumption is often violated in practice. Autocorrelation may be represented in many processes. To solve this problem, it is becoming more common to obtain profiles at each time period. Profile monitoring is the use of control charts for cases in which the quality of a process or product can be characterized by a functional relationship between a response variable and one or more explanatory variables. For the data with seasonal time series model, we propose several monitoring approaches to detect the out-of-control profiles. After considering both Phase I and Phase II schemes, a real example is given to illustrate the results.
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    Description: 碩士
    國立政治大學
    統計研究所
    100354004
    101
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0100354004
    Data Type: thesis
    Appears in Collections:[Department of Statistics] Theses

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