000 04834nam a22005535i 4500
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020 _a9781493965724
_9978-1-4939-6572-4
024 7 _a10.1007/978-1-4939-6572-4
_2doi
040 _cCUS
050 4 _aQC5.53
072 7 _aPHU
_2bicssc
072 7 _aSCI040000
_2bisacsh
072 7 _aPHU
_2thema
082 0 4 _a530.15
_223
100 1 _aBonamente, Massimiliano.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aStatistics and Analysis of Scientific Data
_h[electronic resource] /
_cby Massimiliano Bonamente.
250 _a2nd ed. 2017.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2017.
300 _aXVII, 318 p. 40 illus., 4 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aGraduate Texts in Physics,
_x1868-4513
505 0 _aTheory 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–Variate Analysis (NEW).
520 _aThe 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.
650 0 _aPhysics.
650 0 _aStatistics .
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aStatistical physics.
650 0 _aDynamical systems.
650 1 4 _aMathematical Methods in Physics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P19013
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17020
650 2 4 _aStatistics for Business, Management, Economics, Finance, Insurance.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17010
650 2 4 _aMathematical and Computational Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11006
650 2 4 _aComplex Systems.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P33000
650 2 4 _aStatistical Physics and Dynamical Systems.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P19090
830 0 _aGraduate Texts in Physics,
_x1868-4513
856 4 0 _uhttps://doi.org/10.1007/978-1-4939-6572-4
912 _aZDB-2-PHA
912 _aZDB-2-SXP
942 _cEBK
999 _c208316
_d208316