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Statistical Quality Technologies

Theory and Practice

  • Yuhlong Lio
  • Hon Keung Tony Ng
  • Tzong-Ru Tsai
  • Ding-Geng Chen
Book

Part of the ICSA Book Series in Statistics book series (ICSABSS)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Statistical Process Control

    1. Front Matter
      Pages 1-1
    2. Mu’azu Ramat Abujiya, Muhammad Hisyam Lee
      Pages 79-108
    3. Jyun-You Chiang, Hon Keung Tony Ng, Tzong-Ru Tsai, Yuhlong Lio, Ding-Geng Chen
      Pages 109-126
  3. Acceptance Sampling Plans

    1. Front Matter
      Pages 151-151
    2. Jyun-You Chiang, Hon Keung Tony Ng, Tzong-Ru Tsai, Yuhlong Lio, Ding-Geng Chen
      Pages 211-230
  4. Reliability Testing and Designs

  5. Back Matter
    Pages 395-402

About this book

Introduction

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.

Keywords

Industrial Statistics Statistical Process Control Statistical System Monitoring (SSM) Acceptance Sampling Plans Economical Sampling Plans Degradation Data Analysis Average Run Length Cumulative Sum Chart Exponentially Weighted Moving Average Control Chart Nonparametric Control Chart Process Capability Indices Multiple Deferred State Sampling Plan Bayesian Sampling Plan Reliability Testing Sequential Design

Editors and affiliations

  • Yuhlong Lio
    • 1
  • Hon Keung Tony Ng
    • 2
  • Tzong-Ru Tsai
    • 3
  • Ding-Geng Chen
    • 4
  1. 1.Department of Mathematical SciencesUniversity of South DakotaVermillionUSA
  2. 2.Department of Statistical ScienceSouthern Methodist UniversityDallasUSA
  3. 3.Department of StatisticsTamkang UniversityNew TaipeiTaiwan
  4. 4.Department of StatisticsUniversity of PretoriaPretoriaSouth Africa

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-20709-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-030-20708-3
  • Online ISBN 978-3-030-20709-0
  • Series Print ISSN 2199-0980
  • Series Online ISSN 2199-0999
  • Buy this book on publisher's site