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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/117068


    Title: Statistical Quality Technologies: Theory and Practice
    Authors: Yuh Long Lio;Hon Keung Tony Ng;Tzong-Ru Tsai(蔡宗儒);Ding-Geng Chen
    Date: 2019-08-10
    Issue Date: 2019-09-20 12:11:08 (UTC+8)
    Publisher: Springer
    Abstract: This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.
    Relation: ICSA Book Series in Statistics
    Appears in Collections:[Graduate Institute & Department of Statistics] Monograph

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