Probabilities Data Reduction And Error Analysis In The Physical Sciences
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Data Reduction And Error Analysis For The Physical Sciences
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Author : Philip Bevington
language : en
Publisher:
Release Date : 2003
Data Reduction And Error Analysis For The Physical Sciences written by Philip Bevington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.
The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to justify the results, but emphasizing methods of handling data more than theory. The text provides a variety of numerical and graphical techniques. Computer programs that support these techniques will be available on an accompanying website in both Fortran and C++.
Probabilities Data Reduction And Error Analysis In The Physical Sciences
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Author : Daniel Taupin
language : en
Publisher:
Release Date : 1988
Probabilities Data Reduction And Error Analysis In The Physical Sciences written by Daniel Taupin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Data reduction categories.
Subject and author index
Probabilities Data Reduction And Error Analysis In The Physical Sciences
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Author : D. Taupin
language : it
Publisher:
Release Date :
Probabilities Data Reduction And Error Analysis In The Physical Sciences written by D. Taupin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Data Reduction And Error Analysis For The Physical Sciences
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Author : Philip R. Bevington
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1992
Data Reduction And Error Analysis For The Physical Sciences written by Philip R. Bevington and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.
This book is designed as a laboratory companion, student textbook or reference book for professional scientists. The text is for use in one-term numerical analysis, data and error analysis, or computer methods courses, or for laboratory use. It is for the sophomore-junior level, and calculus is a prerequisite. The new edition includes applications for PC use.
Probability And Statistics For Physical Sciences
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Author : Brian Martin
language : en
Publisher: Elsevier
Release Date : 2023-09-05
Probability And Statistics For Physical Sciences written by Brian Martin and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Mathematics categories.
Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines. - Provides a collection of useful formulas with mathematical background - Includes worked examples throughout and end-of-chapter problems for practice - Offers a logical progression through topics and methods in statistics and probability
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"--
Probability In Physics
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Author : Andy Lawrence
language : en
Publisher: Springer Nature
Release Date : 2019-09-01
Probability In Physics written by Andy Lawrence and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-01 with Science categories.
This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and of statistical inference, as well the importance of probability in information theory, quantum mechanics, and stochastic processes, in a unified manner. The book also presents a harmonised view of frequentist and Bayesian approaches to inference, emphasising their complementary value. The aim is to steer a middle course between the "cookbook" style and an overly dry mathematical statistics style. The treatment is driven by real physics examples throughout, but developed with a level of mathematical clarity and rigour appropriate to mid-career physics undergraduates. Exercises and solutions are included.
Probability Statistics And Life Cycle Assessment
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Author : Reinout Heijungs
language : en
Publisher: Springer Nature
Release Date : 2024-05-20
Probability Statistics And Life Cycle Assessment written by Reinout Heijungs and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Science categories.
This textbook discusses the use of uncertainty analysis and sensitivity analysis in environmental life cycle assessment (LCA). This is a topic which has received a lot of attention by journals, including the leading (Springer) International Journal of Life Cycle Assessment. Despite its importance, no coherent textbook exists that summarizes the progress that has been made in the last 20 years. This book attempts to fill that gap. Its audience is practitioners (professional and academic) of LCA, teachers, and Ph.D. students. It gives a very broad overview of the field: probability theory, descriptive statistics, inferential statistics, error analysis, sensitivity analysis, decision theory, etc., all in relation to LCA. Much effort has been taken to give a balanced overview, with a uniform terminology and mathematical notation.
Foundations Of Mathematical Physics
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Author : Chirag Verma
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Foundations Of Mathematical Physics written by Chirag Verma and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
"Foundations of Mathematical Physics" is a compelling introduction for undergraduates venturing into the intricate relationship between mathematics and physics. We navigate the core principles that sculpt the universe, from the quantum to the cosmic scale, making this book an essential companion for students unraveling the physical world's mysteries through mathematical lenses. Structured to bridge theoretical concepts with practical applications, we meticulously unfold the marvels of mathematical physics, ensuring each topic is approachable without sacrificing depth. This book offers a unique blend of theory, worked examples, and problem sets that challenge and engage students, facilitating deep comprehension. We stand out by demystifying complex ideas, making this an invaluable resource for students with varied proficiency in mathematics or physics. Whether you aim to grasp the fundamentals of quantum mechanics, delve into special relativity's elegance, or understand general relativity's geometric beauty, this book paves the path for a profound understanding of the universe through mathematical frameworks. Embark on this intellectual journey to discover how mathematical physics illuminates the universe's workings in an accessible and inspiring way.
Data Analysis For Scientists And Engineers
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Author : Edward L. Robinson
language : en
Publisher: Princeton University Press
Release Date : 2016-09-20
Data Analysis For Scientists And Engineers written by Edward L. Robinson and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-20 with Science categories.
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)