Statistics for Physical Sciences Book

Statistics for Physical Sciences


  • Author : Brian Martin
  • Publisher : Academic Press
  • Release Date : 2012-01-19
  • Genre: Mathematics
  • Pages : 313
  • ISBN 10 : 9780123877604

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Statistics for Physical Sciences Excerpt :

"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 and Statistics in the Physical Sciences Book

Probability and Statistics in the Physical Sciences


  • Author : Byron P. Roe
  • Publisher : Springer Nature
  • Release Date : 2020-09-26
  • Genre: Science
  • Pages : 285
  • ISBN 10 : 9783030536947

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Probability and Statistics in the Physical Sciences Excerpt :

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.

Bayesian Logical Data Analysis for the Physical Sciences Book

Bayesian Logical Data Analysis for the Physical Sciences


  • Author : Phil Gregory
  • Publisher : Cambridge University Press
  • Release Date : 2005-04-14
  • Genre: Mathematics
  • Pages : null
  • ISBN 10 : 9781139444286

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Bayesian Logical Data Analysis for the Physical Sciences Excerpt :

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.

Statistics and Analysis of Scientific Data Book

Statistics and Analysis of Scientific Data


  • Author : Massimiliano Bonamente
  • Publisher : Springer
  • Release Date : 2016-11-08
  • Genre: Science
  • Pages : 318
  • ISBN 10 : 9781493965724

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Statistics and Analysis of Scientific Data Excerpt :

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.

Statistics Book

Statistics


  • Author : R. J. Barlow
  • Publisher : John Wiley & Sons
  • Release Date : 2013-06-05
  • Genre: Science
  • Pages : 224
  • ISBN 10 : 9781118723234

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Statistics Excerpt :

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 Physics of Biomolecules Book
Score: 5
From 1 Ratings

Statistical Physics of Biomolecules


  • Author : Daniel M. Zuckerman
  • Publisher : CRC Press
  • Release Date : 2010-06-02
  • Genre: Mathematics
  • Pages : 356
  • ISBN 10 : 9781420073799

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Statistical Physics of Biomolecules Excerpt :

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 Book

Applied Statistics for Engineers and Physical Scientists


  • Author : Robert V. Hogg
  • Publisher : Prentice Hall
  • Release Date : 1992
  • Genre: Computers
  • Pages : 506
  • ISBN 10 : UOM:39015025277420

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Applied Statistics for Engineers and Physical Scientists Excerpt :

"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.

Statistics for Physical Sciences Book

Statistics for Physical Sciences


  • Author : Brian Martin
  • Publisher : Academic Press
  • Release Date : 2012-01-25
  • Genre: Mathematics
  • Pages : 320
  • ISBN 10 : 9780123877659

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Statistics for Physical Sciences Excerpt :

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

The Practice of Time Series Analysis Book

The Practice of Time Series Analysis


  • Author : Hirotugu Akaike
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Mathematics
  • Pages : 386
  • ISBN 10 : 9781461221623

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The Practice of Time Series Analysis Excerpt :

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.

Probability and Statistics in Experimental Physics Book

Probability and Statistics in Experimental Physics


  • Author : Byron P. Roe
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • Genre: Science
  • Pages : 208
  • ISBN 10 : 9781475721867

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Probability and Statistics in Experimental Physics Excerpt :

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.

Statistics for Engineering and the Sciences Student Solutions Manual Book

Statistics for Engineering and the Sciences Student Solutions Manual


  • Author : William M. Mendenhall
  • Publisher : CRC Press
  • Release Date : 2016-11-17
  • Genre: Mathematics
  • Pages : 452
  • ISBN 10 : 9781498731850

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Statistics for Engineering and the Sciences Student Solutions Manual Excerpt :

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.

Uncertainty Analysis for Engineers and Scientists Book

Uncertainty Analysis for Engineers and Scientists


  • Author : Faith A. Morrison
  • Publisher : Cambridge University Press
  • Release Date : 2021-01-07
  • Genre: Computers
  • Pages : 389
  • ISBN 10 : 9781108478359

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Uncertainty Analysis for Engineers and Scientists Excerpt :

Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.

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

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


  • Author : N. Balakrishnan
  • Publisher : Wiley
  • Release Date : 2011-04-12
  • Genre: Mathematics
  • Pages : 750
  • ISBN 10 : 0470405082

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

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.