Welcome to our book review site go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science
  • Language: en
  • Pages: 503
Frontiers in Statistical Quality Control 9
  • Language: en
  • Pages: 367

Frontiers in Statistical Quality Control 9

The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".

Frontiers in Statistical Quality Control 12
  • Language: en
  • Pages: 366

Frontiers in Statistical Quality Control 12

  • Type: Book
  • -
  • Published: 2018-06-15
  • -
  • Publisher: Springer

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.

Frontiers in Statistical Quality Control 11
  • Language: en
  • Pages: 398

Frontiers in Statistical Quality Control 11

  • Type: Book
  • -
  • Published: 2015-04-24
  • -
  • Publisher: Springer

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.

Frontiers in Statistical Quality Control 13
  • Language: en
  • Pages: 410

Frontiers in Statistical Quality Control 13

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.

Interdisciplinary Perspectives on COVID-19 and the Caribbean, Volume 2
  • Language: en
  • Pages: 588

Interdisciplinary Perspectives on COVID-19 and the Caribbean, Volume 2

Caribbean countries have had to navigate multiple crises, which have tested their collective resolve through time. In this regard, the region’s landscape has been shaped by an interplay of vulnerability and resilience which has brought to the fore possibilities and contradictions. It is within this context that the effects of the COVID-19 pandemic must be considered. Interdisciplinary Perspectives on COVID-19 and the Caribbean, Volume 2: Society, Education and Human Behaviour provides a comprehensive, multi- and interdisciplinary assessment of the impact of the COVID-19 pandemic, using the Caribbean as the site of enquiry. The edited collection mobilises critical perspectives brought to be...

Frontiers in Statistical Quality Control 10
  • Language: en
  • Pages: 418

Frontiers in Statistical Quality Control 10

The 10th International Workshop on Intelligent Statistical Quality Control took place in Seattle, USA, Aug 18-20, 2010. It was hosted by Professor C. M. Mastrangelo, Department of Industrial and Systems Engineering, University of Washington, Seattle. The workshop was jointly organized by Professors H. J. Lenz, C. M. Mastrangelo, W. Schmid and P.T. Wilrich. The twenty-seven papers in this volume were carefully selected by the scientific program committee, reviewed by its members, revised by the authors and, finally, adapted for this volume by the editors. The book is divided into two parts: Part I "On-line Control" covers fields like control charting, monitoring and surveillance as well as acceptance sampling. Part II "Off-line Control" is devoted to experimental design, process capability analysis and data quality. The purpose of the book is on the one hand to provide insights into important new developments in the area of statistical quality control – especially surveillance and monitoring – and on the other hand to critically discuss methods used in on-line and off-line statistical quality control.

Advances in Stochastic Models for Reliablity, Quality and Safety
  • Language: en
  • Pages: 390

Advances in Stochastic Models for Reliablity, Quality and Safety

Fast technological development produces systems of ever-increasing complex ity. The demand for reliable functioning of these systems has become more and more important. Thus, there is a need for highly reliable technical devices and systems, for monitoring and controlling their functioning and for planning maintenance and corrective actions to fulfill given requirements considering eco nomic limitations. These tasks reflect the wide field of engineering activities that are accompa nied by and based on a wide range of stochastical models. The book presents the main contributions to a workshop on Stochastic Models of Reliability, Qual ity, and Safety held in Schierke near Magdeburg, Germany. This workshop was part of a series of meetings that take place every two years organized by the Society of Reliability, Quality and Safety. The basic idea of these workshops is to bring together theorists, applied statisticians, and practitioners to exchange experiences and ideas of common interest. The book contains recent results in reliability and related fields. The presentation aims at making at least a part of the results accessible to engineers.

Advances in Stochastic Models for Reliablity, Quality and Safety
  • Language: en
  • Pages: 426

Advances in Stochastic Models for Reliablity, Quality and Safety

In 24 papers from a 1997 workshop near Magdeburg, Germany, theoreticians, applied statisticians, and practitioners discuss their current work and compare and evaluate models and methods. Within sections on lifetime analysis, reliability analysis, network analysis, and process control, they consider such topics as acceptance regions and their application in lifetime estimation, stochastic models for the return of used devices, a unified approach to the reliability of recurrent structures, and controlling a process with three different states. Annotation copyrighted by Book News, Inc., Portland, OR

Frontiers in Statistical Quality Control 6
  • Language: en
  • Pages: 379

Frontiers in Statistical Quality Control 6

In the 1920's, Walter Shewhart visualized that the marriage of statistical methods and manufacturing processes would produce reliable and consistent quality products. Shewhart (1931) conceived the idea of statistical process control (SPC) and developed the well-known and appropriately named Shewhart control chart. However, from the 1930s to the 1990s, literature on SPC schemes have been "captured" by the Shewhart paradigm of normality, independence and homogeneous variance. When in fact, the problems facing today's industries are more inconsistent than those faced by Shewhart in the 1930s. As a result of the advances in machine and sensor technology, process data can often be collected on-li...