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Principles of Statistics for Engineers and Scientists
Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that is focused on applications. By presenting ideas in the context of real-world data sets and with plentiful examples of computer output, the book is great for motivating students to understand the importance of statistics in their careers and their lives. The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
Statistics for Engineers and Scientists
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
Statistics for Engineers and Scientists
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. McGraw-Hill's Connect, is also available ...
SuperHubs
A BLOOMBERG BEST BOOK OF THE YEAR WINNER - SILVER MEDAL, AXIOM BUSINESS BOOK AWARDS 2018 FOREWORD BY NOURIEL ROUBINI SuperHubs is a rare, behind-the-scenes look at the global financial system and the powerful personal networks through which it is run, at the centre of which sit the Elites - the SuperHubs. Combining an insider's knowledge with principles of network science, Sandra Navidi offers a startling new perspective on how the financial system really operates. SuperHubs reveals what happens at the exclusive, invitation-only platforms - The World Economic Forum in Davos, the meetings of the International Monetary Fund, think-tank gatherings, power lunches, charity events, and private parties. This is the most vivid portrait to date of the global elite: the bank CEOs, fund managers, billionaire financiers and politicians who, through their interlocking relationships and collective influence are transforming the future of our financial system and, for better or worse, shaping our world.
Statistics for Engineers and Scientists
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
Data Analysis for the Geosciences
An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program. This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences. Volume highlights include: Se...
