Multivariate Statistical Modeling In Engineering And Management

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Multivariate Statistical Modeling in Engineering and Management

Author : Jhareswar Maiti
Publisher : CRC Press
ISBN 13 : 1000618420
Total Pages : 421 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Multivariate Statistical Modeling in Engineering and Management by : Jhareswar Maiti

Download or read book Multivariate Statistical Modeling in Engineering and Management written by Jhareswar Maiti and published by CRC Press. This book was released on 2022-10-25 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate Statistical Modeling in Engineering and Management

Author : Jhareswar Maiti
Publisher : CRC Press
ISBN 13 : 1000618390
Total Pages : 637 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Multivariate Statistical Modeling in Engineering and Management by : Jhareswar Maiti

Download or read book Multivariate Statistical Modeling in Engineering and Management written by Jhareswar Maiti and published by CRC Press. This book was released on 2022-10-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate Statistical Methods in Quality Management

Author : Kai Yang
Publisher : McGraw Hill Professional
ISBN 13 : 0071432086
Total Pages : 319 pages
Book Rating : 4.0/5 (714 download)

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Book Synopsis Multivariate Statistical Methods in Quality Management by : Kai Yang

Download or read book Multivariate Statistical Methods in Quality Management written by Kai Yang and published by McGraw Hill Professional. This book was released on 2004-02-25 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

MULTIVARIATE STATISTICAL PROCESS CONTROL

Author : RONG. RIGDON PAN (STEVEN E.. CHAMP, CHARLES.)
Publisher :
ISBN 13 : 9781138197824
Total Pages : pages
Book Rating : 4.1/5 (978 download)

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Book Synopsis MULTIVARIATE STATISTICAL PROCESS CONTROL by : RONG. RIGDON PAN (STEVEN E.. CHAMP, CHARLES.)

Download or read book MULTIVARIATE STATISTICAL PROCESS CONTROL written by RONG. RIGDON PAN (STEVEN E.. CHAMP, CHARLES.) and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Elements of Copula Modeling with R

Author : Marius Hofert
Publisher : Springer
ISBN 13 : 3319896350
Total Pages : 267 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Elements of Copula Modeling with R by : Marius Hofert

Download or read book Elements of Copula Modeling with R written by Marius Hofert and published by Springer. This book was released on 2019-01-09 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate margins. They are increasingly applied to modeling dependence among random variables in fields such as risk management, actuarial science, insurance, finance, engineering, hydrology, climatology, and meteorology, to name a few. In the spirit of the Use R! series, each chapter combines key theoretical definitions or results with illustrations in R. Aimed at statisticians, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without an overwhelming amount of mathematics, the book can also be used for teaching a course on copula modeling.

Multivariate Analysis in Management, Engineering and the Sciences

Author : Beata Akselsen
Publisher :
ISBN 13 : 9781681174624
Total Pages : 268 pages
Book Rating : 4.1/5 (746 download)

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Book Synopsis Multivariate Analysis in Management, Engineering and the Sciences by : Beata Akselsen

Download or read book Multivariate Analysis in Management, Engineering and the Sciences written by Beata Akselsen and published by . This book was released on 2016-04-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Many statistical techniques focus on just one or two variables; Multivariate analysis (MVA) techniques allow more than two variables to be analysed at once. Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics. Researchers use multivariate procedures in studies that involve more than one dependent variable (also known as the outcome or phenomenon of interest), more than one independent variable (also known as a predictor) or both. This type of analysis is desirable because researchers often hypothesize that a given outcome of interest is effected or influenced by more than one thing. Uses for multivariate analysis include: design for capability (also known as capability-based design); inverse design, where any variable can be treated as an independent variable; analysis of alternatives (AoA), the selection of concepts to fulfil a customer need; analysis of concepts with respect to changing scenarios; identification of critical designdrivers and correlations across hierarchical levels. Multivariate Analysis in Management, Engineering and the Sciences presents significant topics on fundamental theoretical aspects of the field as well as on other aspects concerned with significant applications of new theoretical methods. Through real-life applications of statistical methodology, this book elucidates the implications of behavioural science studies for statistical analysis. In addition to helping to stimulate research in multivariate analysis, the book aims to bring about interactions among mathematical statisticians, probabilists, and scientists in other disciplines broadly interested in the area. "

Proceedings of the Seventh International Conference on Management Science and Engineering Management

Author : Jiuping Xu
Publisher : Springer Science & Business Media
ISBN 13 : 3642400787
Total Pages : 770 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Proceedings of the Seventh International Conference on Management Science and Engineering Management by : Jiuping Xu

Download or read book Proceedings of the Seventh International Conference on Management Science and Engineering Management written by Jiuping Xu and published by Springer Science & Business Media. This book was released on 2013-09-20 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the Seventh International Conference on Management Science and Engineering Management (ICMSEM2013) held from November 7 to 9, 2013 at Drexel University, Philadelphia, Pennsylvania, USA and organized by the International Society of Management Science and Engineering Management, Sichuan University (Chengdu, China) and Drexel University (Philadelphia, Pennsylvania, USA). The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research findings. The selected papers cover various areas in management science and engineering management, such as Decision Support Systems, Multi-Objective Decisions, Uncertain Decisions, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic Models and Simulation, Fuzzy Programming, Heuristics Algorithms, Risk Control, Organizational Behavior, Green Supply Chains, and Carbon Credits. The proceedings introduce readers to novel ideas on and different problem-solving methods in Management Science and Engineering Management. We selected excellent papers from all over the world, integrating their expertise and ideas in order to improve research on Management Science and Engineering Management.

Applied Statistical Modeling and Data Analytics

Author : Srikanta Mishra
Publisher : Elsevier
ISBN 13 : 0128032804
Total Pages : 250 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Applied Statistical Modeling and Data Analytics by : Srikanta Mishra

Download or read book Applied Statistical Modeling and Data Analytics written by Srikanta Mishra and published by Elsevier. This book was released on 2017-10-27 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains Written by practitioners for practitioners Presents an easy to follow narrative which progresses from simple concepts to more challenging ones Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications

Multivariate Statistical Modeling

Author : Ronald A. Christensen
Publisher :
ISBN 13 : 9780938986140
Total Pages : 726 pages
Book Rating : 4.9/5 (861 download)

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Book Synopsis Multivariate Statistical Modeling by : Ronald A. Christensen

Download or read book Multivariate Statistical Modeling written by Ronald A. Christensen and published by . This book was released on 1983 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Modeling of Reliability Structures and Industrial Processes

Author : Ioannis S. Trianntafyllou
Publisher : CRC Press
ISBN 13 : 1000614751
Total Pages : 223 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Statistical Modeling of Reliability Structures and Industrial Processes by : Ioannis S. Trianntafyllou

Download or read book Statistical Modeling of Reliability Structures and Industrial Processes written by Ioannis S. Trianntafyllou and published by CRC Press. This book was released on 2022-09-27 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text introduces advanced topics in the field of reliability engineering, introduces statistical modeling techniques, and probabilistic methods for diverse applications. It comprehensively covers important topics including consecutive-type reliability systems, coherent structures, multi-scale statistical modeling, the performance of reliability structures, big data analytics, prognostics, and health management. It covers real-life applications including optimization of telecommunication networks, complex infrared detecting systems, oil pipeline systems, and vacuum systems in accelerators or spacecraft relay stations. The text will serve as an ideal reference book for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.

Statistical Models in Engineering

Author : Gerald J. Hahn
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Models in Engineering by : Gerald J. Hahn

Download or read book Statistical Models in Engineering written by Gerald J. Hahn and published by John Wiley & Sons. This book was released on 1967 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.

Road Traffic Modeling and Management

Author : Fouzi Harrou
Publisher : Elsevier
ISBN 13 : 0128234334
Total Pages : 270 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Road Traffic Modeling and Management by : Fouzi Harrou

Download or read book Road Traffic Modeling and Management written by Fouzi Harrou and published by Elsevier. This book was released on 2021-10-05 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies

Advances in Mathematical and Statistical Modeling

Author : Barry Arnold
Publisher : Birkhäuser
ISBN 13 : 9780817646257
Total Pages : 368 pages
Book Rating : 4.6/5 (462 download)

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Book Synopsis Advances in Mathematical and Statistical Modeling by : Barry Arnold

Download or read book Advances in Mathematical and Statistical Modeling written by Barry Arnold and published by Birkhäuser. This book was released on 2008-09-02 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented.

Engineering Statistics

Author : Douglas C. Montgomery
Publisher : Wiley
ISBN 13 : 9780471448549
Total Pages : 0 pages
Book Rating : 4.4/5 (485 download)

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Book Synopsis Engineering Statistics by : Douglas C. Montgomery

Download or read book Engineering Statistics written by Douglas C. Montgomery and published by Wiley. This book was released on 2003-07-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Concise and complete coverage of probability. * Thorough coverage of regression modeling, design of engineering experiments, and statistical process control. * Wide range of problem levels.

Statistical Modeling Using Bayesian Latent Gaussian Models

Author : Birgir Hrafnkelsson
Publisher : Springer Nature
ISBN 13 : 3031397916
Total Pages : 256 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Statistical Modeling Using Bayesian Latent Gaussian Models by : Birgir Hrafnkelsson

Download or read book Statistical Modeling Using Bayesian Latent Gaussian Models written by Birgir Hrafnkelsson and published by Springer Nature. This book was released on 2023-12-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models. The structure of these models is described in a thorough introductory chapter, which explains how to construct prior densities for the model parameters, how to infer the parameters using Bayesian computation, and how to use the models to make predictions. The remaining six chapters focus on the application of Bayesian latent Gaussian models to real examples in glaciology, hydrology, engineering seismology, seismology, meteorology and climatology. These examples include: spatial predictions of surface mass balance; the estimation of Antarctica’s contribution to sea-level rise; the estimation of rating curves for the projection of water level to discharge; ground motion models for strong motion; spatial modeling of earthquake magnitudes; weather forecasting based on numerical model forecasts; and extreme value analysis of precipitation on a high-dimensional grid. The book is aimed at graduate students and experts in statistics, geophysics, environmental sciences, engineering, and related fields.

Statistical Models in Engineering

Author : Hahn GJ.
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (985 download)

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Book Synopsis Statistical Models in Engineering by : Hahn GJ.

Download or read book Statistical Models in Engineering written by Hahn GJ. and published by . This book was released on 1967 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Innovations in Multivariate Statistical Modeling

Author : Andriëtte Bekker
Publisher : Springer Nature
ISBN 13 : 3031139712
Total Pages : 434 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Innovations in Multivariate Statistical Modeling by : Andriëtte Bekker

Download or read book Innovations in Multivariate Statistical Modeling written by Andriëtte Bekker and published by Springer Nature. This book was released on 2022-12-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics. It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty. Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.