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The Resource Statistics and Analysis of Scientific Data, by Massimiliano Bonamente, (electronic resource)

Statistics and Analysis of Scientific Data, by Massimiliano Bonamente, (electronic resource)

Label
Statistics and Analysis of Scientific Data
Title
Statistics and Analysis of Scientific Data
Statement of responsibility
by Massimiliano Bonamente
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Author
Subject
Language
eng
Summary
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: {u2022} a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. {u2022} a new chapter on the various measures of the mean including logarithmic averages. {u2022} new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. {u2022} a new case study and additional worked examples. {u2022} mathematical derivations and theoretical background material have been appropriately marked,to improve the readability of the text. {u2022} 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
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0
Literary form
non fiction
Series statement
Graduate Texts in Physics,
Statistics and Analysis of Scientific Data, by Massimiliano Bonamente, (electronic resource)
Label
Statistics and Analysis of Scientific Data, by Massimiliano Bonamente, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-1-4939-6572-4
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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
Theory of Probability -- Random Variables and Their Distribution -- Sum and Functions of Random Variables -- Estimate of Mean and Variance and Confidence Intervals -- Median, Weighted Mean and Linear Average (NEW) -- Distribution Function of Statistics and Hypothesis Testing -- Maximum Likelihood Fit to a Two-Variable Dataset -- Goodness of Fit and Parameter Uncertainty -- Systematic Errors and Intrinsic Scatter (NEW) -- Fitting Data with Bivariate Errors (NEW) -- Comparison Between Models -- Monte Carlo Methods -- Markov Chains and Monte Carlo Markov Chains -- Statistics for Business Sciences and Addition of Multi{u2013}Variate Analysis (NEW)
http://library.link/vocab/cover_art
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unknown
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{'f': 'http://opac.lib.rpi.edu/record=b4257685'}
Edition
2nd ed. 2017.
Extent
XVII, 318 p. 40 illus., 4 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9781493965724
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

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