The Resource Data Analysis : Statistical and Computational Methods for Scientists and Engineers, by Siegmund Brandt, (electronic resource)
Data Analysis : Statistical and Computational Methods for Scientists and Engineers, by Siegmund Brandt, (electronic resource)
 Summary
 The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples, and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The programs (source code, Java classes, and documentation) and extensive appendices to the main text are available for free download from the book{u2019}s page at www.springer.com. Contents Probabilities. Random variables. Random numbers and the Monte Carlo Method. Statistical distributions (binomial, Gauss, Poisson). Samples. Statistical tests. Maximum Likelihood. Least Squares. Regression. Minimization. Analysis of Variance. Time series analysis. Audience The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, working for bachelor or master degrees, in thesis work, and in research and professional work. 2The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysis; it can be of great use to all who are involved with data analysis.3 Physicalia 2This lively and erudite treatise covers the theory of the main statistical tools and their practical applications{u2026}a first rate university textbook, and good background material for the practicing physicist.3 Physics Bulletin The Author Siegmund Brandt is Emeritus Professor of Physics at the University of Siegen. With his group he worked on experiments in elementaryparticle physics at the research centers DESY in Hamburg and CERN in Geneva in which the analysis of the experimental data plays an important role. He is author or coauthor of textbooks which have appeared in ten languages
 Language
 eng
 Edition
 4th ed. 2014.
 Extent
 XX, 523 p. 134 illus.
 Contents

 Introduction
 Probabilities
 Random Variables: Distributions
 ComputerGenerated Random Numbers: The Monte Carlo Method
 Some Important Distributions and Theorems
 Samples
 The Method of Maximum Likelihood
 Testing Statistical Hypotheses
 The Method of Least Squares
 Function Minimization
 Analysis of Variance
 Linear and Polynomial Regression
 TimeSeries Analysis
 A) Matrix Calculations
 B) Combinatorics
 C) Formulas and Methods for the Computation of Statistical Functions
 D) The Gamma Function and Related Functions: Methods and Programs for their Computation
 E) Utility Programs
 F) The Graphics Class DatanGraphics
 G) Problems, Hints and Solutions and Programming Problems
 H) Collection of Formulas
 I) Statistical Formulas
 List of Computer Programs
 Isbn
 9783319037622
 Label
 Data Analysis : Statistical and Computational Methods for Scientists and Engineers
 Title
 Data Analysis
 Title remainder
 Statistical and Computational Methods for Scientists and Engineers
 Statement of responsibility
 by Siegmund Brandt
 Subject

 Numerical and Computational Physics
 Appl.Mathematics/Computational Methods of Engineering
 Chemistry  Mathematics
 Mathematical physics
 Engineering mathematics
 Math. Applications in Chemistry
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Physics
 Mathematical Methods in Physics
 Language
 eng
 Summary
 The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples, and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The programs (source code, Java classes, and documentation) and extensive appendices to the main text are available for free download from the book{u2019}s page at www.springer.com. Contents Probabilities. Random variables. Random numbers and the Monte Carlo Method. Statistical distributions (binomial, Gauss, Poisson). Samples. Statistical tests. Maximum Likelihood. Least Squares. Regression. Minimization. Analysis of Variance. Time series analysis. Audience The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, working for bachelor or master degrees, in thesis work, and in research and professional work. 2The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysis; it can be of great use to all who are involved with data analysis.3 Physicalia 2This lively and erudite treatise covers the theory of the main statistical tools and their practical applications{u2026}a first rate university textbook, and good background material for the practicing physicist.3 Physics Bulletin The Author Siegmund Brandt is Emeritus Professor of Physics at the University of Siegen. With his group he worked on experiments in elementaryparticle physics at the research centers DESY in Hamburg and CERN in Geneva in which the analysis of the experimental data plays an important role. He is author or coauthor of textbooks which have appeared in ten languages
 Image bit depth
 0
 Literary form
 non fiction
 Label
 Data Analysis : Statistical and Computational Methods for Scientists and Engineers, by Siegmund Brandt, (electronic resource)
 Related Authorities

 Engineering mathematics
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Appl.Mathematics/Computational Methods of Engineering
 Chemistry
 Mathematics
 Physics
 Mathematical Methods in Physics
 Mathematical physics
 Numerical and Computational Physics
 Math. Applications in Chemistry
 Related Subjects

 Numerical and Computational Physics
 Appl.Mathematics/Computational Methods of Engineering
 Chemistry  Mathematics
 Mathematical physics
 Engineering mathematics
 Math. Applications in Chemistry
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Physics
 Mathematical Methods in Physics
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Introduction  Probabilities  Random Variables: Distributions  ComputerGenerated Random Numbers: The Monte Carlo Method  Some Important Distributions and Theorems  Samples  The Method of Maximum Likelihood  Testing Statistical Hypotheses  The Method of Least Squares  Function Minimization  Analysis of Variance  Linear and Polynomial Regression  TimeSeries Analysis  A) Matrix Calculations  B) Combinatorics  C) Formulas and Methods for the Computation of Statistical Functions  D) The Gamma Function and Related Functions: Methods and Programs for their Computation  E) Utility Programs  F) The Graphics Class DatanGraphics  G) Problems, Hints and Solutions and Programming Problems  H) Collection of Formulas  I) Statistical Formulas  List of Computer Programs
 http://library.link/vocab/cover_art
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 unknown
 http://library.link/vocab/discovery_link
 {'f': 'http://opac.lib.rpi.edu/record=b3552141'}
 Edition
 4th ed. 2014.
 Extent
 XX, 523 p. 134 illus.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783319037622
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
Subject
 Appl.Mathematics/Computational Methods of Engineering
 Chemistry  Mathematics
 Engineering mathematics
 Math. Applications in Chemistry
 Mathematical Methods in Physics
 Mathematical physics
 Numerical and Computational Physics
 Physics
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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