Statistics and Analysis of Scientific Data

Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, Mathematics, Statistics
Cover of the book Statistics and Analysis of Scientific Data by Massimiliano Bonamente, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Massimiliano Bonamente ISBN: 9781493965724
Publisher: Springer New York Publication: November 8, 2016
Imprint: Springer Language: English
Author: Massimiliano Bonamente
ISBN: 9781493965724
Publisher: Springer New York
Publication: November 8, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Theory, Analysis and Design of RF Interferometric Sensors by Massimiliano Bonamente
Cover of the book The Achilles Tendon by Massimiliano Bonamente
Cover of the book Numerical Approximation Methods by Massimiliano Bonamente
Cover of the book Family Firms by Massimiliano Bonamente
Cover of the book Aerodynamic Noise by Massimiliano Bonamente
Cover of the book International Handbook of Psychological Well-Being in Children and Adolescents by Massimiliano Bonamente
Cover of the book Reviews of Environmental Contamination and Toxicology by Massimiliano Bonamente
Cover of the book Men's Health by Massimiliano Bonamente
Cover of the book Operative Strategy in General Surgery by Massimiliano Bonamente
Cover of the book Handbook of Mindfulness in Education by Massimiliano Bonamente
Cover of the book The Neurophysiological Bases of Auditory Perception by Massimiliano Bonamente
Cover of the book Nanotechnology in Electrocatalysis for Energy by Massimiliano Bonamente
Cover of the book Epistemological Dimensions of Evolutionary Psychology by Massimiliano Bonamente
Cover of the book Atlas of Intestinal Stomas by Massimiliano Bonamente
Cover of the book Advances in Schizophrenia Research 2009 by Massimiliano Bonamente
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy