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Author  Title  Accn#  Year  Item 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 


1.


Title  Quantitative methods of data analysis for the physical sciences and engineering 
Author(s)  Douglas G. Martinson 
Publication  Cambridge, Cambridge University Press, 2018. 
Description  xiv,614p. 
Abstract Note  This 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 selfcontained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes. 
ISBN,Price  9781107029767 : £ 49.99(HB) 
Classification  519.22/.25

Keyword(s)  1. DATA ANALYSIS
2. PROBABILITY THEORY
3. SEQUENTIAL DATA ANALYSIS
4. STATISTICS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026494 

519.22/.25/MAR/026949 
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2.
 
Title  Data analysis for scientists and engineers 
Author(s)  Edward L. Robinson 
Publication  New Jersey, Princeton University Press, 2016. 
Description  xiii, 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.
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Author(s)
Reviews 2
Supplementary Materials
Data Analysis for Scientists and Engineers is a modern, graduatelevel 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 selfcontained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. 
ISBN,Price  9780691169927 : $ 75.00(HB) 
Classification  519.22/.25

Keyword(s)  1. ANALYSIS OF SEQUENCES
2. BAYESIAN STATISTICS
3. FOURIER ANALYSIS
4. LEAST SQUARES ESTIMATION
5. MONTE CARLO METHODS
6. PROBABILITY

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026580 

519.22/.25/ROB/026580 
Issued 
MS26: Sourabh Magare 
15/May/2024 

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