Statistical Methods In Experimental Physics

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Statistical Methods in Experimental Physics

Author : Frederick James
Publisher : World Scientific
Page : 366 pages
File Size : 42,7 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 Experimental Physics

Author : W. T. Eadie
Publisher : North-Holland
Page : 316 pages
File Size : 55,9 Mb
Release : 1971
Category : Mathematics
ISBN : UOM:39015018332182

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Statistical Methods in Experimental Physics by W. T. Eadie Pdf

Statistical Methods for Physical Science

Author : Anonim
Publisher : Academic Press
Page : 542 pages
File Size : 40,7 Mb
Release : 1994-12-13
Category : Science
ISBN : 0080860168

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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

Statistical Methods for Data Analysis in Particle Physics

Author : Luca Lista
Publisher : Springer
Page : 257 pages
File Size : 41,6 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).

Probability and Statistics in Experimental Physics

Author : Byron P. Roe
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 47,8 Mb
Release : 2013-03-09
Category : Science
ISBN : 9781475721867

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Probability and Statistics in Experimental Physics by Byron P. Roe Pdf

A practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced undergraduates. Intended as a practical guide, and not as a comprehensive text, the emphasis is on applications and understanding, on theorems and techniques that are actually used in experimental physics. Proofs of theorems are generally omitted unless they contribute to the intuition in understanding and applying the theorem. The problems, many with worked solutions, introduce the student to the use of computers; occasional reference is made to some of the Fortran routines available in the CERN library, but other systems, such as Maple, will also be useful.

Classical Methods of Statistics

Author : Otto J.W.F. Kardaun
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 55,5 Mb
Release : 2005-09-16
Category : Science
ISBN : 3540211152

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Classical Methods of Statistics by Otto J.W.F. Kardaun Pdf

Classical Methods of Statistics is a guidebook combining theory and practical methods. It is especially conceived for graduate students and scientists who are interested in the applications of statistical methods to plasma physics. Thus it provides also concise information on experimental aspects of fusion-oriented plasma physics. In view of the first three basic chapters it can be fruitfully used by students majoring in probability theory and statistics. The first part deals with the mathematical foundation and framework of the subject. Some attention is given to the historical background. Exercises are added to help readers understand the underlying concepts. In the second part, two major case studies are presented which exemplify the areas of discriminant analysis and multivariate profile analysis, respectively. To introduce these case studies, an outline is provided of the context of magnetic plasma fusion research. In the third part an overview is given of statistical software; separate attention is devoted to SAS and S-PLUS. The final chapter presents several datasets and gives a description of their physical setting. Most of these datasets were assembled at the ASDEX Upgrade Tokamak. All of them are accompanied by exercises in form of guided (minor) case studies. The book concludes with translations of key concepts into several languages.

Statistical Data Analysis

Author : Glen Cowan
Publisher : Oxford University Press
Page : 218 pages
File Size : 55,8 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).

Foundations of Experimental Physics

Author : Shailaja Mahamuni,Deepti Sidhaye,Sulabha Kulkarni
Publisher : CRC Press
Page : 375 pages
File Size : 51,8 Mb
Release : 2020-06-11
Category : Science
ISBN : 9781000202458

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Foundations of Experimental Physics by Shailaja Mahamuni,Deepti Sidhaye,Sulabha Kulkarni Pdf

All solids are composed of atoms or molecules and in order to explain their behavior, experiments and theories came forward. Simultaneously, many new materials were synthetically and systematically developed in the laboratories, properties of which needed to be understood before deploying them in various technologies. It is known that there is a strong correlation between structure and properties of materials. Therefore, experiments on solids involve understanding their structure with diffraction techniques using X-rays, electrons or neutrons. The materials may be in different forms like bulk solid, thin films or powders and need to be observed using microscopes. Finally the properties can be correlated to electronic structure which can be deciphered through various spectroscopy techniques. Magnetic measurements give the insight in to electron-electron correlation. The advantages and limitations of the techniques are also spelled out. In other words, this book takes into account the unaddressed needs of students and teachers associated with the experimental methods. Its relevance has increased manifold, as it addresses a wide scope of the topics in concise manner. Such as‚ improving signal-to-noise ratio, cryogenic methods, vacuum science, sources and detectors for electrons, photons (from infra-red to gamma rays), error analysis, statistical handling of data, etc. Please note: This title is co-published with Capital Publishers, New Delhi. Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

Statistics for Nuclear and Particle Physicists

Author : Louis Lyons
Publisher : Cambridge University Press
Page : 244 pages
File Size : 53,9 Mb
Release : 1989-04-06
Category : Science
ISBN : 0521379342

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Statistics for Nuclear and Particle Physicists by Louis Lyons Pdf

This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics which arise regularly in data analysis situations in nuclear and high-energy physics experiments. Rather than concentrating on formal proofs of theorems, an abundant use of simple examples illustrates the general ideas which are presented, showing the reader how to obtain the maximum information from the data in the simplest manner. Possible difficulties with the various techniques, and pitfalls to be avoided, are also discussed. Based on a series of lectures given by the author to both students and staff at Oxford, this common-sense approach to statistics will enable nuclear physicists to understand better how to do justice to their data in both analysis and interpretation.

Probability and Statistics for Particle Physics

Author : Carlos Maña
Publisher : Springer
Page : 244 pages
File Size : 51,9 Mb
Release : 2017-04-21
Category : Science
ISBN : 9783319557380

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Probability and Statistics for Particle Physics by Carlos Maña Pdf

This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.

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 : 53,7 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/

Understanding Statistics and Experimental Design

Author : Michael H. Herzog,Gregory Francis,Aaron Clarke
Publisher : Springer
Page : 146 pages
File Size : 54,5 Mb
Release : 2019-08-13
Category : Science
ISBN : 9783030034993

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Understanding Statistics and Experimental Design by Michael H. Herzog,Gregory Francis,Aaron Clarke Pdf

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Probability in Physics

Author : Yemima Ben-Menahem,Meir Hemmo
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 49,9 Mb
Release : 2012-01-25
Category : Science
ISBN : 9783642213281

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Probability in Physics by Yemima Ben-Menahem,Meir Hemmo Pdf

What is the role and meaning of probability in physical theory, in particular in two of the most successful theories of our age, quantum physics and statistical mechanics? Laws once conceived as universal and deterministic, such as Newton‘s laws of motion, or the second law of thermodynamics, are replaced in these theories by inherently probabilistic laws. This collection of essays by some of the world‘s foremost experts presents an in-depth analysis of the meaning of probability in contemporary physics. Among the questions addressed are: How are probabilities defined? Are they objective or subjective? What is their explanatory value? What are the differences between quantum and classical probabilities? The result is an informative and thought-provoking book for the scientifically inquisitive.

Statistical Methods in Experimental Physics

Author : Frederick James
Publisher : World Scientific Publishing Company
Page : 364 pages
File Size : 42,9 Mb
Release : 2006-11-29
Category : Science
ISBN : 9789813101845

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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.