Statistics in Engineering: With Examples in MATLAB® and R, Second Edition, Metcalfe, Andrew Green, David Greenfield, Tony Man
Старое издание
Автор: Metcalfe, Andrew Green, David Greenfield, Tony Mansor, Mayhayaudin Smith, Andrew Tuke, Jonathan Название: Statistics in Engineering: With Examples in MATLAB® and R, Second Edition ISBN: 0367570629 ISBN-13(EAN): 9780367570620 Издательство: Taylor&Francis Цена: 50010 T Описание: This is a textbook for an undergraduate course in statistics for engineers with a minimal calculus prerequisite. The second edition differs from existing books in three main aspects: it is the only introductory statistics textbook written for engineers that uses R throughout the text, there is an emphasis on statistical methods most relevant to
Название: Barron`s AP Statistics, 9th Edition ISBN: 1438009046 ISBN-13(EAN): 9781438009049 Издательство: Kaplan & Barrons Рейтинг: Цена: 16540.00 T Наличие на складе: Невозможна поставка. Описание: This manual's in-depth preparation for the AP Statistics exam features the 35 absolutely best AP Statistics exam hints found anywhere, and includes:
A diagnostic test and five full-length and up-to-date practice exams
All test questions answered and explained
Additional multiple-choice and free-response questions with answers
A 14-chapter subject review, covering all test topics
A new review chapter highlighting statistical insights into social issues
a new chapter on the Investigative Task, which counts as one-eighth of the exam
A guide to basic uses of TI, Casio, and HP graphing calculators
BONUS ONLINE PRACTICE TEST: Students who purchase this book will also get FREE access to one additional full-length online AP Statistics test with all questions answered and explained. Want to boost your studies with even more practice and in-depth review? Try Barron's Ultimate AP Statistics for even more prep.
Автор: Boyd Stephen Название: Introduction to Applied Linear Algebra ISBN: 1316518965 ISBN-13(EAN): 9781316518960 Издательство: Cambridge Academ Рейтинг: Цена: 45410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.
Автор: Sternstein Martin Название: Barron`s AP Statistics, 8th Edition ISBN: 1438004982 ISBN-13(EAN): 9781438004983 Издательство: Ingram Цена: 17460.00 T Наличие на складе: Нет в наличии. Описание: This manual s in-depth preparation for the AP Statistics exam features the 35 absolutely best AP Statistics exam hints found anywhere, and includes:
A diagnostic test and five full-length and up-to-date practice exams
All test questions answered and explained
Additional multiple-choice and free-response questions with answers
A 15-chapter subject review covering all test topics
A guide to basic uses of TI-83/TI-84 calculators The manual can be purchased alone or with an enclosed CD-ROM that presents two additional practice tests with automatic scoring of the multiple-choice questions, as well as a second CD-ROM introducing the TI-Nspire. BONUS ONLINE PRACTICE TEST Students who purchase this book or package will also get FREE access to one additional full-length online AP Statistics test with all questions answered and explained."
Автор: Marwala Tshilidzi Название: Probabilistic Finite Element Model Updating Using Bayesian Statistics ISBN: 1119153034 ISBN-13(EAN): 9781119153030 Издательство: Wiley Рейтинг: Цена: 97100.00 T Наличие на складе: Поставка под заказ. Описание: Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering. The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure.
The Bayesian formulation achieves this by formulating the finite element model as the posterior distribution of the model given the measured data within the context of computational statistics and applies these in aeronautical and mechanical engineering. Probabilistic Finite Element Model Updating Using Bayesian Statistics contains simple explanations of computational statistical techniques such as Metropolis-Hastings Algorithm, Slice sampling, Markov Chain Monte Carlo method, hybrid Monte Carlo as well as Shadow Hybrid Monte Carlo and their relevance in engineering. Key features: * Contains several contributions in the area of model updating using Bayesian techniques which are useful for graduate students.
* Explains in detail the use of Bayesian techniques to quantify uncertainties in mechanical structures as well as the use of Markov Chain Monte Carlo techniques to evaluate the Bayesian formulations. The book is essential reading for researchers, practitioners and students in mechanical and aerospace engineering.
The next step in the evolution of the organizational quality field, Lean Six Sigma (LSS) has come of age. However, many challenges to using LSS in lieu of, in conjunction with, or integrated with other quality initiatives remain. An update on the current focus of quality management, Quality Management for Organizations Using Lean Six Sigma Techniques covers the concepts and principles of Lean Six Sigma and its origins in quality, total quality management (TQM), and statistical process control (SPC), and then explores how it can be integrated into manufacturing, logistics, and healthcare operations.
The book presents the background on quality and Lean Six Sigma (LSS) techniques and tools, previous history of LSS in manufacturing, and current applications of LSS in operations such as logistics and healthcare. It provides a decision model for choosing whether to use LSS or other quality initiatives, which projects should be selected and prioritized, and what to do with non-LSS projects. The author also details an integration model for integrating and developing integrated LSS and other quality initiatives, and common mathematical techniques that you can use for performing LSS statistical calculations. He describes methods to attain the different Six Sigma certifications, and closes with discussion of future directions of Lean Six Sigma and quality.
Case studies illustrate the integration of LSS principles into other quality initiatives, highlighting best practices as well as successful and failed integrations. This guide gives you a balanced description of the good, bad, and ugly in integrating LSS into modern operations, giving you the understanding necessary to immediately apply the concepts to your quality processes.
Автор: Montgomery Название: Engineering Statistics, 5th Edition SI Version ISBN: 0470646071 ISBN-13(EAN): 9780470646076 Издательство: Wiley Рейтинг: Цена: 59130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: * Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process.
Автор: Bajorski, Peter Название: Statistics for imaging, optics, and photonics ISBN: 0470509457 ISBN-13(EAN): 9780470509456 Издательство: Wiley Рейтинг: Цена: 93930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques.
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