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Book
Frontiers in Statistical Quality Control 12
Authors: ---
ISBN: 3319752952 3319752944 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 – 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference’s scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.

Keywords

Statistics. --- Data mining. --- Quality control. --- Reliability. --- Industrial safety. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Quality Control, Reliability, Safety and Risk. --- Statistics and Computing/Statistics Programs. --- Data Mining and Knowledge Discovery. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Quality control --- Mathematical statistics --- Statistical methods --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- System safety. --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Prevention --- Statistics . --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Security systems. --- Biometry. --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Security Science and Technology. --- Statistics and Computing. --- Biostatistics. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Data processing. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Security measures --- Burglary protection


Book
Frontiers in Statistical Quality Control 13
Authors: ---
ISBN: 3030678563 3030678555 Year: 2021 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

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.

Keywords

Statistics . --- Quality control. --- Reliability. --- Industrial safety. --- Data mining. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Quality Control, Reliability, Safety and Risk. --- Data Mining and Knowledge Discovery. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics and Computing/Statistics Programs. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Prevention --- Quality control --- Mathematical statistics --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Control de qualitat --- Estadística matemàtica --- Estadística descriptiva --- Inferència estadística --- Matemàtica estadística --- Mètodes estadístics --- Estadística --- Anàlisi d'error (Matemàtica) --- Anàlisi de regressió --- Anàlisi de sèries temporals --- Anàlisi de variància --- Anàlisi multivariable --- Anàlisi seqüencial --- Astronomia estadística --- Correlació (Estadística) --- Dependència (Estadística) --- Estadística no paramètrica --- Estadística robusta --- Física estadística --- Mètode dels moments (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Teoria de l'estimació --- Teoria de la predicció --- Tests d'hipòtesi (Estadística) --- Biometria --- Mostreig (Estadística) --- Enginyeria industrial --- Fiabilitat (Enginyeria) --- Normalització --- Cercles de qualitat --- Control de processos --- Control de qualitat dels aliments --- Mètodes Taguchi (Control de qualitat) --- Sis Sigma (Norma de control de qualitat) --- Traçabilitat --- Garantia de qualitat --- Normes ISO 9000 --- Control de qualitat de l'assistència mèdica --- Qualitat de l'ensenyament --- Qualitat dels productes --- Qualitat total --- Statistics. --- Security systems. --- Biometry. --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Security Science and Technology. --- Biostatistics. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistics and Computing. --- Data processing. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Security measures --- Burglary protection


Digital
Frontiers in Statistical Quality Control 12
Authors: ---
ISBN: 9783319752952 Year: 2018 Publisher: Cham Springer International Publishing

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Abstract

This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 – 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference’s scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.


Digital
Frontiers in Statistical Quality Control 11
Authors: ---
ISBN: 9783319123554 9783319123561 9783319123547 9783319355450 Year: 2015 Publisher: Cham Springer International Publishing

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Abstract

The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent. The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields. The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.


Multi
Frontiers in Statistical Quality Control 13
Authors: ---
ISBN: 9783030678562 9783030678579 9783030678586 9783030678555 Year: 2021 Publisher: Cham Springer International Publishing

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Abstract

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.


Book
Frontiers in Statistical Quality Control 13
Authors: --- ---
ISBN: 9783030678562 9783030678579 9783030678586 9783030678555 Year: 2021 Publisher: Cham Springer International Publishing :Imprint: Springer


Digital
Eyes wide shut? The US house market bubble through the lense of statistical process control
Authors: --- ---
Year: 2012 Publisher: Munich CESifo

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Book
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid.
Authors: --- ---
ISBN: 9783031691119 Year: 2024 Publisher: Cham : Springer,

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Keywords


Book
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid
Authors: --- ---
ISBN: 3031691113 Year: 2024 Publisher: Cham : Springer Nature Switzerland : Imprint: Springer,

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Abstract

This book presents a unique collection of contributions on modern methods and applications in three key areas of statistics, celebrating the significant work of Wolfgang Schmid in this field. It is structured thematically into parts focusing on statistical process monitoring, financial statistics, and spatial statistics with environmetrics, each featuring chapters from leading experts. The opening articles on statistical process monitoring present novel methodologies for the detection of anomalies and control charting techniques, which are crucial for maintaining quality in manufacturing processes. Detailed discussions are included on integrating multivariate statistical methods and real-time monitoring to enhance process reliability and efficiency. The part on financial statistics explores rigorous approaches in financial econometrics, with an emphasis on dynamic modelling of market volatility and risk assessment. Contributions cover advanced asset allocation strategies, leveraging high-dimensional data analysis, and the application of machine learning techniques. Spatial statistics and environmetrics are addressed through innovative research on the statistical analysis of environmental data. This includes the use of geostatistical models and hybrid models that combine traditional statistical techniques with machine learning to improve the prediction of environmental phenomena. Key topics here involve the modelling of extremes and airborne pollutants, the prediction of earthquakes using a smartphone-based sensor network, and reviews of selected topics essential in modern spatial statistics. Each part not only reflects Wolfgang Schmid’s interests and impact in these areas but also provides detailed theoretical and applied studies, demonstrating how these sophisticated statistical methods can be effectively employed in practical scenarios. This makes the book an indispensable resource for researchers and practitioners looking to apply cutting-edge statistical techniques in these complex fields.


Book
Frontiers in Statistical Quality Control 11
Authors: --- ---
ISBN: 9783319123554 3319123548 9783319123547 3319123556 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent. The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields. The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.

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