Statistical Methods For Physical Science

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Statistical Methods for Physical Science

Author : Anonim
Publisher : Academic Press
Page : 563 pages
File Size : 55,6 Mb
Release : 1994-12-13
Category : Science
ISBN : 9780080860169

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Statistical Methods for Physical Science by Anonim Pdf

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

Author : Brian Martin
Publisher : Academic Press
Page : 313 pages
File Size : 49,9 Mb
Release : 2012-01-19
Category : Mathematics
ISBN : 9780123877604

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Statistics for Physical Sciences by Brian Martin Pdf

"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"--

Statistical Data Analysis for the Physical Sciences

Author : Adrian Bevan
Publisher : Cambridge University Press
Page : 233 pages
File Size : 49,9 Mb
Release : 2013-05-09
Category : Science
ISBN : 9781107067592

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Statistical Data Analysis for the Physical Sciences by Adrian Bevan Pdf

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.

Statistical Methods for Data Analysis in Particle Physics

Author : Luca Lista
Publisher : Springer
Page : 257 pages
File Size : 54,7 Mb
Release : 2017-10-13
Category : Science
ISBN : 9783319628400

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Statistical Methods for Data Analysis in Particle Physics by Luca Lista Pdf

This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).

Statistics

Author : R. J. Barlow
Publisher : John Wiley & Sons
Page : 232 pages
File Size : 44,9 Mb
Release : 2013-06-05
Category : Science
ISBN : 9781118723234

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Statistics by R. J. Barlow Pdf

The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett Written by a physicist, Statistics is tailored to the needs of physical scientists, containing and explaining all they need to know. It concentrates on parameter estimation, especially the methods of Least Squares and Maximum Likelihood, but other techniques, such as hypothesis testing, Bayesian statistics and non-parametric methods are also included. Intended for reasonably numerate scientists it contains all the basic formulae, their derivations and applications, together with some more advanced ones. Statistics features: * Comprehensive coverage of the essential techniques physical scientists are likely to need. * A wealth of examples, and problems with their answers. * Flexible structure and organisation allows it to be used as a course text and a reference. * A review of the basics, so that little prior knowledge is required.

Statistical Methods in Experimental Physics

Author : Frederick James
Publisher : World Scientific
Page : 366 pages
File Size : 40,5 Mb
Release : 2006
Category : Science
ISBN : 9789812567956

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Statistical Methods in Experimental Physics by Frederick James Pdf

The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis. This second edition contains all the important material of the first, much of it unavailable from any other sources. In addition, many chapters have been updated with considerable new material, especially in areas concerning the theory and practice of confidence intervals, including the important Feldman-Cousins method. Both frequentist and Bayesian methodologies are presented, with a strong emphasis on techniques useful to physicists and other scientists in the interpretation of experimental data and comparison with scientific theories. This is a valuable textbook for advanced graduate students in the physical sciences as well as a reference for active researchers.

Statistical Methods in Radiation Physics

Author : James E. Turner,Darryl J. Downing,James S. Bogard
Publisher : John Wiley & Sons
Page : 1 pages
File Size : 47,7 Mb
Release : 2012-08-27
Category : Science
ISBN : 9783527646562

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Statistical Methods in Radiation Physics by James E. Turner,Darryl J. Downing,James S. Bogard Pdf

This statistics textbook, with particular emphasis on radiation protection and dosimetry, deals with statistical solutions to problems inherent in health physics measurements and decision making. The authors begin with a description of our current understanding of the statistical nature of physical processes at the atomic level, including radioactive decay and interactions of radiation with matter. Examples are taken from problems encountered in health physics, and the material is presented such that health physicists and most other nuclear professionals will more readily understand the application of statistical principles in the familiar context of the examples. Problems are presented at the end of each chapter, with solutions to selected problems provided online. In addition, numerous worked examples are included throughout the text.

Data Analysis in High Energy Physics

Author : Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 42,8 Mb
Release : 2013-08-30
Category : Science
ISBN : 9783527653430

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Data Analysis in High Energy Physics by Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius Pdf

This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems. The basic methods for inferring results from data are presented as well as tools for advanced tasks such as improving the signal-to-background ratio, correcting detector effects, determining systematics and many others. Concrete applications are discussed in analysis walkthroughs. Each chapter is supplemented by numerous examples and exercises and by a list of literature and relevant links. The book targets a broad readership at all career levels - from students to senior researchers. An accompanying website provides more algorithms as well as up-to-date information and links. * Free solutions manual available for lecturers at www.wiley-vch.de/supplements/

Methods of Statistical Physics

Author : A. I. Akhiezer,S. V. Peletminskii
Publisher : Elsevier
Page : 467 pages
File Size : 43,6 Mb
Release : 2013-10-22
Category : Science
ISBN : 9781483189376

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Methods of Statistical Physics by A. I. Akhiezer,S. V. Peletminskii Pdf

Methods of Statistical Physics is an exposition of the tools of statistical mechanics, which evaluates the kinetic equations of classical and quantized systems. The book also analyzes the equations of macroscopic physics, such as the equations of hydrodynamics for normal and superfluid liquids and macroscopic electrodynamics. The text gives particular attention to the study of quantum systems. This study begins with a discussion of problems of quantum statistics with a detailed description of the basics of quantum mechanics along with the theory of measurement. An analysis of the asymptotic behavior of universal quantities is also explained. Strong consideration is given to the systems with spontaneously broken system. Theories such as the kinetic theory of gases, the theory of Brownian motion, the theory of the slowing down of neutrons, and the theory of transport phenomena in crystals are discussed. The book will be a useful tool for physicists, mathematicians, students, and researchers in the field of statistical mechanics.

Statistical Analysis Techniques in Particle Physics

Author : Ilya Narsky,Frank C. Porter
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 44,5 Mb
Release : 2013-10-24
Category : Science
ISBN : 9783527677290

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Statistical Analysis Techniques in Particle Physics by Ilya Narsky,Frank C. Porter Pdf

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.

Statistical Methods for Materials Science

Author : Jeffrey P. Simmons,Lawrence F. Drummy,Charles A. Bouman,Marc De Graef
Publisher : CRC Press
Page : 537 pages
File Size : 44,5 Mb
Release : 2019-02-13
Category : Science
ISBN : 9781498738217

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Statistical Methods for Materials Science by Jeffrey P. Simmons,Lawrence F. Drummy,Charles A. Bouman,Marc De Graef Pdf

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.

Statistical Data Analysis

Author : Glen Cowan
Publisher : Oxford University Press
Page : 218 pages
File Size : 46,6 Mb
Release : 1998
Category : Mathematics
ISBN : 9780198501565

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Statistical Data Analysis by Glen Cowan Pdf

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

Statistical Physics

Author : Josef Honerkamp
Publisher : Springer Science & Business Media
Page : 557 pages
File Size : 44,6 Mb
Release : 2012-06-19
Category : Science
ISBN : 9783642286841

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Statistical Physics by Josef Honerkamp Pdf

The application of statistical methods to physics is essential. This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with. Therefore the text contains more concepts and methods in statistics than the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are discussed as well. The book is divided into two parts, focusing first on the modeling of statistical systems and then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge. The third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com.

Statistical Physics

Author : Daijiro Yoshioka
Publisher : Springer Science & Business Media
Page : 206 pages
File Size : 42,9 Mb
Release : 2007-05-30
Category : Science
ISBN : 9783540286066

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Statistical Physics by Daijiro Yoshioka Pdf

This book provides a comprehensive presentation of the basics of statistical physics. The first part explains the essence of statistical physics and how it provides a bridge between microscopic and macroscopic phenomena, allowing one to derive quantities such as entropy. Here the author avoids going into details such as Liouville’s theorem or the ergodic theorem, which are difficult for beginners and unnecessary for the actual application of the statistical mechanics. In the second part, statistical mechanics is applied to various systems which, although they look different, share the same mathematical structure. In this way readers can deepen their understanding of statistical physics. The book also features applications to quantum dynamics, thermodynamics, the Ising model and the statistical dynamics of free spins.

Monte Carlo Simulation in Statistical Physics

Author : Kurt Binder,Dieter W. Heermann
Publisher : Springer Science & Business Media
Page : 132 pages
File Size : 46,7 Mb
Release : 2013-11-11
Category : Science
ISBN : 9783662302736

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Monte Carlo Simulation in Statistical Physics by Kurt Binder,Dieter W. Heermann Pdf

When learning very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "realiife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects.