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Statistics For Physical Sciences

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Statistics for Physical Sciences

Statistics for Physical Sciences Book
Author : Brian Martin
Publisher : Academic Press
Release : 2012-01-19
ISBN : 0123877601
Language : En, Es, Fr & De

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Book Description :

"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 Methods for Physical Science

Statistical Methods for Physical Science Book
Author : Anonim
Publisher : Academic Press
Release : 1994-12-13
ISBN : 9780080860169
Language : En, Es, Fr & De

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Book Description :

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

Probability and Statistics in the Physical Sciences

Probability and Statistics in the Physical Sciences Book
Author : Byron P. Roe
Publisher : Springer Nature
Release : 2020-09-26
ISBN : 3030536947
Language : En, Es, Fr & De

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Book Description :

This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.

Statistics

Statistics Book
Author : R. J. Barlow
Publisher : John Wiley & Sons
Release : 2013-06-05
ISBN : 1118723236
Language : En, Es, Fr & De

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Book Description :

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.

Bayesian Logical Data Analysis for the Physical Sciences

Bayesian Logical Data Analysis for the Physical Sciences Book
Author : Phil Gregory
Publisher : Cambridge University Press
Release : 2005-04-14
ISBN : 113944428X
Language : En, Es, Fr & De

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Book Description :

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

Generalized Hypergeometric Functions with Applications in Statistics and Physical Sciences

Generalized Hypergeometric Functions with Applications in Statistics and Physical Sciences Book
Author : A. M. Mathai,R. K. Saxena
Publisher : Springer
Release : 2006-11-15
ISBN : 3540378006
Language : En, Es, Fr & De

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Book Description :

Download Generalized Hypergeometric Functions with Applications in Statistics and Physical Sciences book written by A. M. Mathai,R. K. Saxena, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Statistics and Analysis of Scientific Data

Statistics and Analysis of Scientific Data Book
Author : Massimiliano Bonamente
Publisher : Springer
Release : 2016-11-08
ISBN : 1493965727
Language : En, Es, Fr & De

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Book Description :

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: • a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. • a new chapter on the various measures of the mean including logarithmic averages. • new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. • a new case study and additional worked examples. • mathematical derivations and theoretical background material have been appropriately marked, to improve the readability of the text. • end-of-chapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic.

Statistical Physics of Biomolecules

Statistical Physics of Biomolecules Book
Author : Daniel M. Zuckerman
Publisher : CRC Press
Release : 2010-06-02
ISBN : 1420073796
Language : En, Es, Fr & De

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Book Description :

From the hydrophobic effect to protein-ligand binding, statistical physics is relevant in almost all areas of molecular biophysics and biochemistry, making it essential for modern students of molecular behavior. But traditional presentations of this material are often difficult to penetrate. Statistical Physics of Biomolecules: An Introduction brin

Applied Statistics for Engineers and Physical Scientists

Applied Statistics for Engineers and Physical Scientists Book
Author : Robert V. Hogg,Johannes Ledolter
Publisher : Prentice Hall
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments. provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots. explores principles of probability, probability distributions, and sampling distribution theory. discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs.

Probability and Statistics for the Engineering Computing and Physical Sciences

Probability and Statistics for the Engineering  Computing  and Physical Sciences Book
Author : Edward R. Dougherty
Publisher : Unknown
Release : 1990
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Probability and Statistics for the Engineering Computing and Physical Sciences book written by Edward R. Dougherty, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Statistics for Food Scientists

Statistics for Food Scientists Book
Author : Frank Rossi,Victor Mirtchev
Publisher : Academic Press
Release : 2015-10-06
ISBN : 0124171907
Language : En, Es, Fr & De

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Book Description :

The practical approached championed in this book have led to increasing the quality on many successful products through providing a better understanding of consumer needs, current product and process performance and a desired future state. In 2009, Frank Rossi and Viktor Mirtchev brought their practical statistical thinking forward and created the course “Statistics for Food Scientists . The intent of the course was to help product and process developers increase the probability of their project’s success through the incorporation of practical statistical thinking in their challenges. The course has since grown and has become the basis of this book. Presents detailed descriptions of statistical concepts and commonly used statistical tools to better analyze data and interpret results Demonstrates thorough examples and specific practical problems of what food scientists face in their work and how the tools of statistics can help them to make more informed decisions Provides information to show how statistical tools are applied to improve research results, enhance product quality, and promote overall product development

Statistics for Engineering and the Sciences Student Solutions Manual

Statistics for Engineering and the Sciences Student Solutions Manual Book
Author : William M. Mendenhall,Terry L. Sincich,Nancy S. Boudreau
Publisher : CRC Press
Release : 2016-11-17
ISBN : 1498731856
Language : En, Es, Fr & De

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Book Description :

A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

Numerical Analysis Using R

Numerical Analysis Using R Book
Author : Graham W. Griffiths
Publisher : Cambridge University Press
Release : 2016-04-22
ISBN : 1107115612
Language : En, Es, Fr & De

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Book Description :

This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs. The author offers practical methods that can be adapted to solve wide ranges of problems and illustrates them in the increasingly popular open source computer language R, allowing integration with more statistically based methods. The book begins with standard techniques, followed by an overview of 'high resolution' flux limiters and WENO to solve problems with solutions exhibiting high gradient phenomena. Meshless methods using radial basis functions are then discussed in the context of scattered data interpolation and the solution of PDEs on irregular grids. Three detailed case studies demonstrate how numerical methods can be used to tackle very different complex problems. With its focus on practical solutions to real-world problems, this book will be useful to students and practitioners in all areas of science and engineering, especially those using R.

The Practice of Time Series Analysis

The Practice of Time Series Analysis Book
Author : Hirotugu Akaike,Genshiro Kitagawa
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461221625
Language : En, Es, Fr & De

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Book Description :

A collection of applied papers on time series, appearing here for the first time in English. The applications are primarily found in engineering and the physical sciences.

Statistical and Thermal Physics

Statistical and Thermal Physics Book
Author : M.D. Sturge
Publisher : CRC Press
Release : 2018-10-08
ISBN : 143986442X
Language : En, Es, Fr & De

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Book Description :

This book is based on many years of teaching statistical and thermal physics. It assumes no previous knowledge of thermodynamics, kinetic theory, or probability---the only prerequisites are an elementary knowledge of classical and modern physics, and of multivariable calculus. The first half of the book introduces the subject inductively but rigorously, proceeding from the concrete and specific to the abstract and general. In clear physical language the book explains the key concepts, such as temperature, heat, entropy, free energy, chemical potential, and distributions, both classical and quantum. The second half of the book applies these concepts to a wide variety of phenomena, including perfect gases, heat engines, and transport processes. Each chapter contains fully worked examples and real-world problems drawn from physics, astronomy, biology, chemistry, electronics, and mechanical engineering.

Data Reduction and Error Analysis for the Physical Sciences

Data Reduction and Error Analysis for the Physical Sciences Book
Author : Philip R. Bevington,D. Keith Robinson
Publisher : McGraw-Hill Science, Engineering & Mathematics
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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.

Statistics for Physical Sciences

Statistics for Physical Sciences Book
Author : Brian Martin
Publisher : Academic Press
Release : 2012-01-25
ISBN : 0123877652
Language : En, Es, Fr & De

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Book Description :

Statistics for Physical Sciences is an informal, relatively short, but systematic, guide to the more commonly used ideas and techniques in statistical analysis, as used in physical sciences, together with explanations of their origins. It steers a path between the extremes of a recipe of methods with a collection of useful formulas, and a full mathematical account of statistics, while at the same time developing the subject in a logical way. The book can be read in its entirety by anyone with a basic exposure to mathematics at the level of a first-year undergraduate student of physical science and should be useful for practising physical scientists, plus undergraduate and postgraduate students in these fields. Offers problems at the end of each chapter Features worked examples across all of the chapters Provides a collection of useful formulas in order to give a detailed account of mathematical statistics

Methods and Applications of Statistics in Engineering Quality Control and the Physical Sciences

Methods and Applications of Statistics in Engineering  Quality Control  and the Physical Sciences Book
Author : N. Balakrishnan
Publisher : Wiley
Release : 2011-04-12
ISBN : 9780470405086
Language : En, Es, Fr & De

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Book Description :

Inspired by the Encyclopedia of Statistical Sciences, Second Edition (ESS2e), this volume presents a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the fields of engineering, quality control, and the physical sciences. The book successfully upholds the goals of ESS2e by combining both previously-published and newly developed contributions written by over 100 leading academics, researchers, and practitioner in a comprehensive, approachable format. The result is a succinct reference that unveils modern, cutting-edge approaches to acquiring and analyzing data across diverse subject areas within these three disciplines, including operations research, chemistry, physics, the earth sciences, electrical engineering, and quality assurance. In addition, techniques related to survey methodology, computational statistics, and operations research are discussed, where applicable. Topics of coverage include: optimal and stochastic control, artificial intelligence, quantum mechanics, and fractals.

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences Book
Author : Daniel S. Wilks
Publisher : Academic Press
Release : 2011-07-04
ISBN : 0123850231
Language : En, Es, Fr & De

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Book Description :

Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines. In this new edition, what was a single chapter on multivariate statistics has been expanded to a full six chapters on this important topic. Other chapters have also been revised and cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, and time series analysis. There is now an expanded treatment of resampling tests and key analysis techniques, an updated discussion on ensemble forecasting, and a detailed chapter on forecast verification. In addition, the book includes new sections on maximum likelihood and on statistical simulation and contains current references to original research. Students will benefit from pedagogical features including worked examples, end-of-chapter exercises with separate solutions, and numerous illustrations and equations. This book will be of interest to researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines. Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting Many worked examples End-of-chapter exercises, with answers provided

Probabilities in Physics

Probabilities in Physics Book
Author : Claus Beisbart,Stephan Hartmann
Publisher : Oxford University Press
Release : 2011-09-15
ISBN : 0199577439
Language : En, Es, Fr & De

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Book Description :

This volume provides a philosophical appraisal of probabilities in all of physics. It makes sense of probabilistic statements as they occur in the various physical theories and models and presents a plausible epistemology and metaphysics of probabilities.