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 #  AuthorTitleAccn#YearItem Type Claims
1 Douglas G. Martinson Quantitative methods of data analysis for the physical sciences and engineering 026494 2018 Book  
2 Edward L. Robinson Data analysis for scientists and engineers 026580 2016 Book  
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TitleQuantitative methods of data analysis for the physical sciences and engineering
Author(s)Douglas G. Martinson
PublicationCambridge, Cambridge University Press, 2018.
Descriptionxiv,614p.
Abstract NoteThis book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as self-contained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes.
ISBN,Price9781107029767 : £ 49.99(HB)
Classification519.22/.25
Keyword(s)1. DATA ANALYSIS 2. PROBABILITY THEORY 3. SEQUENTIAL DATA ANALYSIS 4. STATISTICS
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
026494   519.22/.25/MAR/026949  On Shelf    

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TitleData analysis for scientists and engineers
Author(s)Edward L. Robinson
PublicationNew Jersey, Princeton University Press, 2016.
Descriptionxiii, 393p.
Abstract Note Hardcover Price: $75.00 / £62.00 ISBN: Published: 10/04/2016 Copyright: 2017 Pages: 408 Size: 8 x 10 in. Illus: 96 line illus. 7 tables. ebook Price: $75.00 / £62.00 ISBN: Published: 10/04/2016 Copyright: 2017 Pages: 408 Size: 8 x 10 in. Illus: 96 line illus. 7 tables. Buy This Request Exam Copy Download Cover Overview Author(s) Reviews 2 Supplementary Materials Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix.
ISBN,Price9780691169927 : $ 75.00(HB)
Classification519.22/.25
Keyword(s)1. ANALYSIS OF SEQUENCES 2. BAYESIAN STATISTICS 3. FOURIER ANALYSIS 4. LEAST SQUARES ESTIMATION 5. MONTE CARLO METHODS 6. PROBABILITY
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
026580   519.22/.25/ROB/026580  Issued MS26: Sourabh Magare 20/Sep/2023

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