Data Analysis: Statistical and Computational Methods for Scientists and Engineers (Ohlin Lectures; 7) - Tapa dura
Sinopsis
Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasises concise but rigorous mathematics but always retains its focus on applications. Readers are assumed to have a sound basic knowledge of differential and integral calculus and some knowledge of vectors and matrices. After an introduction to probability, random variables, computer generation of random numbers and important distributions, the book turns to statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with several important statistical methods: least squares, analysis of variance, polynomial regression, and analysis of time series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae.
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Críticas
From the reviews:
"The 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." Physicalia
"... Serves as a nice reference guide for any scientist interested in the fundamentals of data analysis on the computer." The American Statistician
Reseña del editor
Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasises concise but rigorous mathematics but always retains its focus on applications. Readers are assumed to have a sound basic knowledge of differential and integral calculus and some knowledge of vectors and matrices. After an introduction to probability, random variables, computer generation of random numbers and important distributions, the book turns to statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with several important statistical methods: least squares, analysis of variance, polynomial regression, and analysis of time series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae.
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Data Analysis: Statistical and Computational Methods for Scientists and Engineers (Third Edition, Includes CD-ROM)
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Springer-Verlag, NY, 1999
ISBN 10: 0387984984
ISBN 13: 9780387984988
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Librería: Florida Mountain Book Co., Datil, NM, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Very Good. Hardcover, [xxxiv], 652 pages, plus CD-ROM. Very Good condition. Third edition. Size 9.5"x6.25". "Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasises concise but rigorous mathematics but always retains its focus on applications. Readers are assumed to have a sound basic knowledge of differential and integral calculus and some knowledge of vectors and matrices. After an introduction to probability, random variables, computer generation of random numbers and important distributions, the book turns to statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with several important statistical methods: least squares, analysis of variance, polynomial regression, and analysis of time series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae." Book has moderate exterior shelfwear, else Near Fine condition, clean and unmarked. CD-ROM is still sealed. Nº de ref. del artículo: 009723
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Data Analysis: Statistical and Computational Methods for Scientists and Engineers (Ohlin Lectures; 7)
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_424558536
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Data Analysis
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Condición: New. pp. 692 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. Nº de ref. del artículo: 7551250
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Data Analysis
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Condición: New. pp. 692 3rd Edition. Nº de ref. del artículo: 26296653
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Data Analysis
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Condición: New. pp. 692. Nº de ref. del artículo: 18296647
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Data Analysis - Statistical and Computational Methods for Scientists and Engineers
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Data Analysis - Statistical and Computational Methods for Scientists and Engineers
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABBB-165704
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Data Analysis: Statistical and Computational Methods for Scientists and Engineers (Ohlin Lectures; 7)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9780387984988_new
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Data Analysis
Publicado por
Springer New York Nov 1998, 1998
ISBN 10: 0387984984
ISBN 13: 9780387984988
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. An accompanying CD-ROM provides detailed code (in Fortran77 and in C) for implementing many of these algorithms (for IBM PS/2 or PC machines). The treatment emphasizes concise but rigorous mathematics but always retains its focus on applications. The reader is presumed to have a sound basic knowledge of differential and integral calulus and some knowledge of vectors and matrices (an appendix develops the vector and matrix methods used and provides a collection of related computer routines). After an introduction of probability, random variables, computer generation of random numbers (Monte Carlo methods) and impotrtant distributions (such as the biomial, Poisson, and normal distributions), the book turns to a discussion of statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with the discussion of several important stistical methods: least squares, analysis of variance, polynomial regression, and analysis of tiem series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae. The book is intended for graduate students setting out on experimental research, but it should also provide a useful reference and programming guide for experienced experimenters. 692 pp. Englisch. Nº de ref. del artículo: 9780387984988
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Data Analysis: Statistical and Computational Methods for Scientists and Engineers (Ohlin Lectures; 7)
Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
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hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-0387984984
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