Data Analysis Techniques For Physical Scientists
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Data Analysis Techniques For Physical Scientists
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Author : Claude A. Pruneau
language : en
Publisher: Cambridge University Press
Release Date : 2017-10-05
Data Analysis Techniques For Physical Scientists written by Claude A. Pruneau and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Language Arts & Disciplines categories.
A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.
Data Analysis Techniques For Physical Scientists
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Author : Claude A. Pruneau
language : en
Publisher:
Release Date : 2017
Data Analysis Techniques For Physical Scientists written by Claude A. Pruneau and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Mathematical statistics categories.
A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques.
Data Analysis For Physical Scientists
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Author : Les Kirkup
language : en
Publisher:
Release Date : 2014-05-14
Data Analysis For Physical Scientists written by Les Kirkup and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Electronic spreadsheets categories.
Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.
Data Analysis For Physical Scientists
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Author : Les Kirkup
language : en
Publisher: Cambridge University Press
Release Date : 2012-02-16
Data Analysis For Physical Scientists written by Les Kirkup and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-16 with Computers categories.
Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.
Data Analysis For Physical Scientists
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Author : Les Kirkup
language : en
Publisher:
Release Date : 2012
Data Analysis For Physical Scientists written by Les Kirkup and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electronic books categories.
"The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excel® 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book"--Provided by publisher.
Statistical Data Analysis For The Physical Sciences
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Author : Adrian Bevan
language : en
Publisher: Cambridge University Press
Release Date : 2013-05-09
Statistical Data Analysis For The Physical Sciences written by Adrian Bevan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-09 with Science categories.
A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented.
Statistical Methods For Physical Science
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Author :
language : en
Publisher: Academic Press
Release Date : 1994-12-13
Statistical Methods For Physical Science written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-13 with Science categories.
This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. - Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods - Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares - Addresses time series analysis, including filtering and spectral analysis - Includes simulations of physical experiments - Features applications of statistics to atmospheric physics and radio astronomy - Covers the increasingly important area of modern statistical computing
Statistics For Physical Sciences
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Author : Brian Martin
language : en
Publisher: Academic Press
Release Date : 2012-01-19
Statistics For Physical Sciences written by Brian Martin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-19 with Mathematics categories.
"Statistics in physical science is principally concerned with the analysis of numerical data, so in Chapter 1 there is a review of what is meant by an experiment, and how the data that it produces are displayed and characterized by a few simple numbers"--
An Assessment Of The National Institute Of Standards And Technology Physical Measurement Laboratory
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2016-03-31
An Assessment Of The National Institute Of Standards And Technology Physical Measurement Laboratory written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-31 with Technology & Engineering categories.
The Physical Measurement Laboratory (PML) at the National Institute of Standards and Technology (NIST) is dedicated to three fundamental and complementary tasks: (1) increase the accuracy of our knowledge of the physical parameters that are the foundation of our technology-driven society; (2) disseminate technologies by which these physical parameters can be accessed in a standardized way by the stakeholders; and (3) conduct research at both fundamental and applied levels to provide knowledge that may eventually lead to advances in measurement approaches and standards. This report assesses the scientific and technical work performed by the PML and identifies salient examples of accomplishments, challenges, and opportunities for improvement for each of its nine divisions.
Handbook On Big Data And Machine Learning In The Physical Sciences In 2 Volumes
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Author :
language : en
Publisher: World Scientific
Release Date : 2020-03-10
Handbook On Big Data And Machine Learning In The Physical Sciences In 2 Volumes written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Computers categories.
This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.