Data Analysis for Scientists and Engineers

Data Analysis for Scientists and Engineers
Author :
Publisher : Princeton University Press
Total Pages : 408
Release :
ISBN-10 : 9780691169927
ISBN-13 : 0691169926
Rating : 4/5 (926 Downloads)

Book Synopsis Data Analysis for Scientists and Engineers by : Edward L. Robinson

Download or read book Data Analysis for Scientists and Engineers written by Edward L. Robinson and published by Princeton University Press. This book was released on 2016-10-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)


Data Analysis for Scientists and Engineers Related Books

Data Analysis for Scientists and Engineers
Language: en
Pages: 408
Authors: Edward L. Robinson
Categories: Science
Type: BOOK - Published: 2016-10-04 - Publisher: Princeton University Press

DOWNLOAD EBOOK

Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as
Data Analysis for Scientists and Engineers
Language: en
Pages: 536
Authors: Stuart L. Meyer
Categories: Mathematics
Type: BOOK - Published: 1975 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Introduction to scientific measurement; Introduction to graphical techniques and curve fitting; Probability; Some probability distributions and applications; St
Statistics for Engineers and Scientists
Language: en
Pages: 936
Authors: William Cyrus Navidi
Categories: Bootstrap (Statistics)
Type: BOOK - Published: 2008 - Publisher: McGraw-Hill

DOWNLOAD EBOOK

Statistical Methods for Engineers and Scientists
Language: en
Pages: 686
Authors: Robert M. Bethea
Categories: Mathematics
Type: BOOK - Published: 2018-04-20 - Publisher: Routledge

DOWNLOAD EBOOK

This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of
Statistics and Data Analysis for Engineers and Scientists
Language: en
Pages: 190
Authors: Tanvir Mustafy
Categories: Technology & Engineering
Type: BOOK - Published: 2024-02-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional