Author: Clsi
Publisher: NCCLC
ISBN: 9781562386139
Category :
Languages : en
Pages : 33
Book Description
This document provides definitions of analytical intervals, planning of quality control procedures, and guidance for quality control applications.
Statistical Quality Control for Quantitative Measurement Procedures
Author: Clsi
Publisher: NCCLC
ISBN: 9781562386139
Category :
Languages : en
Pages : 33
Book Description
This document provides definitions of analytical intervals, planning of quality control procedures, and guidance for quality control applications.
Publisher: NCCLC
ISBN: 9781562386139
Category :
Languages : en
Pages : 33
Book Description
This document provides definitions of analytical intervals, planning of quality control procedures, and guidance for quality control applications.
Statistical Quality Control for Quantitative Measurement Procedures
Statistical quality control for quantitative measurements
Author:
Publisher:
ISBN: 9781562383718
Category : Medical laboratories
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781562383718
Category : Medical laboratories
Languages : en
Pages :
Book Description
Statistical Quality Control for Quantitative Measurements
Author:
Publisher:
ISBN: 9781562383718
Category : Quality control
Languages : en
Pages : 20
Book Description
Publisher:
ISBN: 9781562383718
Category : Quality control
Languages : en
Pages : 20
Book Description
Frontiers in Statistical Quality Control 13
Author: Sven Knoth
Publisher: Springer Nature
ISBN: 3030678563
Category : Mathematics
Languages : en
Pages : 410
Book Description
This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.
Publisher: Springer Nature
ISBN: 3030678563
Category : Mathematics
Languages : en
Pages : 410
Book Description
This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.
Statistical Quality Control Methods
Author: Irving W. Burr
Publisher: Taylor & Francis
ISBN: 1351414208
Category : Business & Economics
Languages : en
Pages : 537
Book Description
This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.
Publisher: Taylor & Francis
ISBN: 1351414208
Category : Business & Economics
Languages : en
Pages : 537
Book Description
This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.
WS/T 641-2018 Translated English of Chinese Standard. (WST 641-2018, WS/T641-2018, WST641-2018)
Author: https://www.chinesestandard.net
Publisher: https://www.chinesestandard.net
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 28
Book Description
This Standard specifies the purpose of internal quality control for quantitative measurement items in clinical laboratory, the design of internal quality control method, the actual operation of internal quality control, the management of internal quality control data, the quality control method based on patient data as well as the comparison of internal quality control data between laboratories. This Standard is applicable to the quantitative measurement in clinical laboratory of the medical institution that carries out the clinical inspection service.
Publisher: https://www.chinesestandard.net
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 28
Book Description
This Standard specifies the purpose of internal quality control for quantitative measurement items in clinical laboratory, the design of internal quality control method, the actual operation of internal quality control, the management of internal quality control data, the quality control method based on patient data as well as the comparison of internal quality control data between laboratories. This Standard is applicable to the quantitative measurement in clinical laboratory of the medical institution that carries out the clinical inspection service.
Statistical Methods for Quality Assurance
Author: Stephen B. Vardeman
Publisher: Springer
ISBN: 038779106X
Category : Mathematics
Languages : en
Pages : 447
Book Description
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Publisher: Springer
ISBN: 038779106X
Category : Mathematics
Languages : en
Pages : 447
Book Description
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Foundations of Statistical Quality Control of Education Process
Author: Irina Milnikova
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659486180
Category :
Languages : en
Pages : 148
Book Description
Quality Control being one of the most important parts of Education Management has several dimensions. One of them is organizational issue, efficient implementation of which requires quantitative measurement and assessment of quality. The latter implies necessity of usage of Quantitative evaluation Methods - Statistical Quality Control (SQC), which makes the whole process of quality management more objective, unbiased and measurable. By its nature SQC can provide quantitative estimation of above most important characteristics of educational process: 1. interrelation between education level index and quality; 2. quantitative measurement and assessment of quality. Also SQC provides evaluating of assessment standards, provides comparing procedure of them to current outcomes (tests, exams grades) and decide to what extent the standards are met. The latter is core activity of Education Management process. For the first time the following new results are represented in this book: general principles of educational processes Statistical Quality Control were elaborated; a new equiscore equating method of students grades has been elaborated; the method permits to compare exam results of diffe
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659486180
Category :
Languages : en
Pages : 148
Book Description
Quality Control being one of the most important parts of Education Management has several dimensions. One of them is organizational issue, efficient implementation of which requires quantitative measurement and assessment of quality. The latter implies necessity of usage of Quantitative evaluation Methods - Statistical Quality Control (SQC), which makes the whole process of quality management more objective, unbiased and measurable. By its nature SQC can provide quantitative estimation of above most important characteristics of educational process: 1. interrelation between education level index and quality; 2. quantitative measurement and assessment of quality. Also SQC provides evaluating of assessment standards, provides comparing procedure of them to current outcomes (tests, exams grades) and decide to what extent the standards are met. The latter is core activity of Education Management process. For the first time the following new results are represented in this book: general principles of educational processes Statistical Quality Control were elaborated; a new equiscore equating method of students grades has been elaborated; the method permits to compare exam results of diffe
Quality Control in Laboratory
Author: Gaffar Zaman
Publisher: BoD – Books on Demand
ISBN: 1789234123
Category : Business & Economics
Languages : en
Pages : 160
Book Description
The book presents a qualitative and quantitative approach to understand, manage and enforce the integration of statistical concepts into quality control and quality assurance methods. Utilizing a sound theoretical and practical foundation and illustrating procedural techniques through scientific examples, this book bridges the gap between statistical quality control, quality assurance and quality management. Detailed procedures have been omitted because of the variety of equipment and commercial kits used in today's clinical laboratories. Instrument manuals and kit package inserts are the most reliable reference for detailed instructions on current analytical procedures.
Publisher: BoD – Books on Demand
ISBN: 1789234123
Category : Business & Economics
Languages : en
Pages : 160
Book Description
The book presents a qualitative and quantitative approach to understand, manage and enforce the integration of statistical concepts into quality control and quality assurance methods. Utilizing a sound theoretical and practical foundation and illustrating procedural techniques through scientific examples, this book bridges the gap between statistical quality control, quality assurance and quality management. Detailed procedures have been omitted because of the variety of equipment and commercial kits used in today's clinical laboratories. Instrument manuals and kit package inserts are the most reliable reference for detailed instructions on current analytical procedures.