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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 |
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2 |
Edward L. Robinson |
Data analysis for scientists and engineers |
026580 |
2016 |
Book |
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1.
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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 self-contained 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
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Keyword(s) | 1. DATA ANALYSIS
2. PROBABILITY THEORY
3. SEQUENTIAL DATA ANALYSIS
4. STATISTICS
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Item Type | Book |
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
026494 |
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519.22/.25/MAR/026949 |
On Shelf |
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+Copy Specific Information |
2.
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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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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,Price | 9780691169927 : $ 75.00(HB) |
Classification | 519.22/.25
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Keyword(s) | 1. ANALYSIS OF SEQUENCES
2. BAYESIAN STATISTICS
3. FOURIER ANALYSIS
4. LEAST SQUARES ESTIMATION
5. MONTE CARLO METHODS
6. PROBABILITY
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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 |
|
+Copy Specific Information | |