Statistics and Analysis of Scientific Data
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The work Statistics and Analysis of Scientific Data represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Statistics and Analysis of Scientific Data
Resource Information
The work Statistics and Analysis of Scientific Data represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Statistics and Analysis of Scientific Data
 Statement of responsibility
 by Massimiliano Bonamente
 Subject

 Complex Systems
 Physics
 Statistical Physics and Dynamical Systems
 Statistics for Business/Economics/Mathematical Finance/Insurance
 Appl.Mathematics/Computational Methods of Engineering
 Statistics
 Engineering mathematics
 Statistics
 System theory
 Electronic resources
 Physics
 Engineering mathematics
 System theory
 Physics
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Mathematical Methods in Physics
 Applied mathematics
 Applied mathematics
 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 twodimensional 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. • endofchapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theorythenapplication 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
 Image bit depth
 0
 LC call number
 QC5.53
 Literary form
 non fiction
 Series statement
 Graduate Texts in Physics,
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