Reliability and Statistics in Transportation and Communication, Igor Kabashkin; Irina Yatskiv (Jackiva); Olegas Pr
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Jeng-Shyang Pan; Tsu-Yang Wu; Yong Zhao; Lakhmi C. Название: Advances in Smart Vehicular Technology, Transportation, Communication and Applications ISBN: 3319707299 ISBN-13(EAN): 9783319707297 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017).
Автор: Joseph K. Blitzstein, Jessica Hwang Название: Introduction to Probability, Second Edition ISBN: 1138369918 ISBN-13(EAN): 9781138369917 Издательство: Taylor&Francis Рейтинг: Цена: 74510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: Kabashkin Название: Reliability and Statistics in Transportation and Communication ISBN: 3319744534 ISBN-13(EAN): 9783319744537 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
Автор: Strobel Название: Communication In Transportation Systems ISBN: 1466629762 ISBN-13(EAN): 9781466629769 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 184800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Typically, communication technology breakthroughs adding to the convenience of the user at home, work, or over cellular and mobile networks are widely heralded. Mobile communications in transportation systems are often overlooked, yet they are equally as important. <br><br><em>Communication in Transportation Systems</em> brilliantly bridges theoretical knowledge and practical applications of the cutting edge technologies for communication in automotive applications. This reference source carefully covers innovative technologies which will continue to advance transportation systems. Researchers, developers, scholars, engineers, and graduate students in the transportation and automotive system, communication, electrical, and information technology fields will especially benefit from this advanced publication.
Автор: Jeng-Shyang Pan; Tsu-Yang Wu; Yong Zhao; Lakhmi C. Название: Advances in Smart Vehicular Technology, Transportation, Communication and Applications ISBN: 3319889850 ISBN-13(EAN): 9783319889856 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Поставка под заказ. Описание: This book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Kaohsiung University of Applied Sciences in Taiwan. The book is a valuable resource for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications.
Автор: Yong Zhao; Tsu-Yang Wu; Tang-Hsien Chang; Jeng-Shy Название: Advances in Smart Vehicular Technology, Transportation, Communication and Applications ISBN: 3030045846 ISBN-13(EAN): 9783030045845 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights papers presented at the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018), which was held at Mount Emei, Sichuan Province, China from 25 to 28 October 2018. The conference was co-sponsored by Springer, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and the National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology). The conference was intended as an international forum for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications.
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.
Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making.
The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.
Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.
Автор: Machlis Название: Practical R for Mass Communication and Journalism ISBN: 1138726915 ISBN-13(EAN): 9781138726918 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: People working in the media deal with data constantly. Journalists who are interested in improving their data skills will find this book useful. The book will concentrate on teaching R and will not go into statistical details. Data sets and projects chosen for the book are especially important in the journalism market.
Автор: Kristofor Paulson Название: Breaking through the World of Statistics ISBN: 1516508769 ISBN-13(EAN): 9781516508761 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 100280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Breaking through the World of Statistics introduces students to statistics and processes that organize, summarize, and apply data to authentic situations. Instruction within the text is based on the principle of learning-by-doing. Each chapter first presents a specific theory or process for problem-solving, and then applies that theory or process to real-world problems.The content features information drawn from diverse disciplines including business and sports. Over the course of the text, students will learn about statistics and their measurement, data organization, descriptive statistics, and probability, both discrete and continuous. They will also study sampling and sampling distributions, confidence intervals, hypothesis testing, analysis of the variance, and both simple and multiple linear regression.The book has been developed to demonstrate that statistics is not a single discipline, but rather has broad applications for numerous areas of life and work. Breaking through the World of Statistics is designed for introductory statistics courses and to successfully prepare students for intermediate-level study.
Автор: Donoghue Anthony Название: Statistical Thinking through Media Examples ISBN: 1516565533 ISBN-13(EAN): 9781516565535 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 69350.00 T Наличие на складе: Нет в наличии. Описание: Statistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding – the meaning behind mathematical calculations rather than the calculations themselves. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for subsequent chapters on questioning study design including polls and surveys, reasoning with variation in data measurements, understanding probability, confidence intervals, hypothesis testing, and linear regression. Students also learn how statistics can be misused and manipulated by researchers to provide a desired result. The second edition features new coverage of select topics, including ANOVA, Chi-Square tests, and multiple linear regression. Every chapter references online resources or includes in-depth discussion to draw connections between statistical concepts and media examples, such as studies on alcohol consumption and cardiovascular health, American football and brain injury, public mass shootings, dishonesty in scientific research, and more. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.
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