Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.
Название: Cambridge international as & a level mathematics: probability & statistics 2 practice book ISBN: 110844492X ISBN-13(EAN): 9781108444927 Издательство: Cambridge Education Рейтинг: Цена: 3213.00 р. Наличие на складе: Есть (1 шт.) Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.
Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.
Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.
Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.
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.
Описание: This two-volume anthology uses engaging examples from the world of sports to introduce students to critical concepts in mathematics and statistics. Volume 2 contains key lessons in probability and odds, supplementary counting rules, discrete random variables, and continuous random variables as they pertain to football, hockey, NASCAR, bowling, and more. The text also includes lessons on sampling distribution, single sample inferences, and linear regression, offering data from golf, gymnastics, swimming, soccer, and more to fully illustrate and support the learned concepts. Each lesson includes Common Core Standards, a comprehensive teaching guide, printable practice problems, and solutions. Lessons for Teaching Concepts in Mathematics and Statistics Using Sports, Volume 2 is well-suited for undergraduate courses in mathematics, statistics, and education. The book may be used independently or as a companion text. It can also be used for middle school and high school statistics courses.
Автор: Jawlik Название: Statistics from A to Z - Confusing Concepts Clarified ISBN: 1119272033 ISBN-13(EAN): 9781119272038 Издательство: Wiley Рейтинг: Цена: 6486.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed.
Автор: Gould, William Название: The Mata book ISBN: 159718263X ISBN-13(EAN): 9781597182638 Издательство: Taylor&Francis Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata.
Автор: Dale P. Mood, James R. Morrow Jr, Matthew McQueen Название: Introduction to Statistics in Human Performance: Using SPSS and R ISBN: 0815381204 ISBN-13(EAN): 9780815381204 Издательство: Taylor&Francis Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Statistics in Human Performance provides students facing statistical problems for the first time with an accessible introduction to the key concepts and procedures of statistical analysis. The second edition covers processes involved in using both SPSS and R.
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.
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