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Synopsis
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:
• 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Max Bonamente is Professor of Astrophysics at the University of Alabama, Huntsville.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Statistics and Analysis of Scientific Data
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Springer New York, 2018
ISBN 10 : 1493982397
ISBN 13 : 9781493982394
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the statistical techniques most commonly employed in physical sciences and engineeringMakes clear distinction between material that is strictly mathematical and theoretical, and practical applications of statistical methodsExpande. N° de réf. du vendeur 447957798
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Statistics and Analysis of Scientific Data
Edité par
Springer New York Jun 2018, 2018
ISBN 10 : 1493982397
ISBN 13 : 9781493982394
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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:- 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. 336 pp. Englisch. N° de réf. du vendeur 9781493982394
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Statistics and Analysis of Scientific Data (Graduate Texts in Physics)
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Statistics and Analysis of Scientific Data (Paperback or Softback)
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ISBN 10 : 1493982397
ISBN 13 : 9781493982394
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Paperback or Softback
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Paperback or Softback. Etat : New. Statistics and Analysis of Scientific Data 1.04. Book. N° de réf. du vendeur BBS-9781493982394
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Statistics and Analysis of Scientific Data
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PF. Etat : New. N° de réf. du vendeur 6666-IUK-9781493982394
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Statistics and Analysis of Scientific Data
Edité par
Springer New York, Springer US Jun 2018, 2018
ISBN 10 : 1493982397
ISBN 13 : 9781493982394
Neuf
Taschenbuch
Edition originale
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -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:¿ 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch. N° de réf. du vendeur 9781493982394
Quantité disponible : 2 disponible(s)
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Statistics and Analysis of Scientific Data
Edité par
Springer New York, Springer US, 2018
ISBN 10 : 1493982397
ISBN 13 : 9781493982394
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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:- 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. N° de réf. du vendeur 9781493982394
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Statistics and Analysis of Scientific Data
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Statistics and Analysis of Scientific Data
Edité par
Springer-Verlag New York Inc., 2018
ISBN 10 : 1493982397
ISBN 13 : 9781493982394
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Statistics and Analysis of Scientific Data
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