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| Author | : Di Xu |
| Publisher | : |
| Total Pages | : 232 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
| Author | : Jhareswar Maiti |
| Publisher | : CRC Press |
| Total Pages | : 421 |
| Release | : 2022-10-25 |
| Genre | : Business & Economics |
| ISBN | : 1000618420 |
The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution. Key features: Links data generation process with statistical distributions in multivariate domain Provides step by step procedure for estimating parameters of developed models Provides blueprint for data driven decision making Includes practical examples and case studies relevant for intended audiences The book will help everyone involved in data driven problem solving, modeling and decision making.
| Author | : Hoang Pham |
| Publisher | : Springer Nature |
| Total Pages | : 1136 |
| Release | : 2023-04-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1447175034 |
In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.
| Author | : Kai Yang |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 318 |
| Release | : 2004-03-17 |
| Genre | : Technology & Engineering |
| ISBN | : 0071501371 |
Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods
| Author | : Geoffrey Vining |
| Publisher | : CRC Press |
| Total Pages | : 504 |
| Release | : 1999-11-24 |
| Genre | : Business & Economics |
| ISBN | : 1482276763 |
Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range o
| Author | : Ershi Qi |
| Publisher | : Springer |
| Total Pages | : 927 |
| Release | : 2016-01-29 |
| Genre | : Technology & Engineering |
| ISBN | : 9462391807 |
Being the premier forum for the presentation of new advances and research results in the fields of Industrial Engineering, IEEM 2015 aims to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and applications face and face, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. All the goals of the international conference are to fulfill the mission of the series conference which is to review, exchange, summarize and promote the latest achievements in the field of industrial engineering and engineering management over the past year, and to propose prospects and vision for the further development. This volume is the first of the two proceedings volumes from this conference.
| Author | : Sung Hyun Park |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 558 |
| Release | : 2008-09-26 |
| Genre | : Technology & Engineering |
| ISBN | : 9813107073 |
This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.
| Author | : Mengxi Yi |
| Publisher | : Springer Nature |
| Total Pages | : 500 |
| Release | : 2023-04-19 |
| Genre | : Mathematics |
| ISBN | : 3031226879 |
This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.
| Author | : Sung Park |
| Publisher | : Boom Koninklijke Uitgevers |
| Total Pages | : 356 |
| Release | : 1996-09-30 |
| Genre | : Business & Economics |
| ISBN | : 9780412556203 |
This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.
| Author | : Edgar Santos-Fernández |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 134 |
| Release | : 2012-09-22 |
| Genre | : Business & Economics |
| ISBN | : 1461454522 |
The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
