Statistics and Analysis of Scientific Data - Info and Reading Options
By Massimiliano Bonamente
"Statistics and Analysis of Scientific Data" was published by Springer in Aug 08, 2013 and it has 301 pages.
“Statistics and Analysis of Scientific Data” Metadata:
- Title: ➤ Statistics and Analysis of Scientific Data
- Author: Massimiliano Bonamente
- Number of Pages: 301
- Publisher: Springer
- Publish Date: Aug 08, 2013
- Library of Congress Classification: QA276 .B662 2013QC174.7-175.36
“Statistics and Analysis of Scientific Data” Subjects and Themes:
- Subjects: ➤ Mathematical statistics - Research - Statistical methods - Bioinformatics - Communication in science - Physics - Distribution (Probability theory) - Dynamical Systems and Complexity Statistical Physics - Probability Theory and Stochastic Processes - Statistical Theory and Methods - Numerical and Computational Physics
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL27987997M - OL20699280W
- Online Computer Library Center (OCLC) ID: 842364099
- Library of Congress Control Number (LCCN): 2013940514
- ISBN-13: 9781461479833
- ISBN-10: 1461479835
- All ISBNs: 1461479835 - 9781461479833
AI-generated Review of “Statistics and Analysis of Scientific Data”:
"Statistics and Analysis of Scientific Data" Description:
The Open Library:
Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data. 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 proactive use of the material for practical applications. 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 students' understanding of the topic.
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