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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Frederic Abergel (ed.) |
Econophysics and Sociophysics: Recent Progress and Future Directions |
I08636 |
2017 |
eBook |
|
| 2 |
Douglas G. Martinson |
Quantitative methods of data analysis for the physical sciences and engineering |
026494 |
2018 |
Book |
|
| 3 |
Claude A. Pruneau |
Data analysis techniques for physical scientists |
026279 |
2017 |
Book |
|
| 4 |
Christopher M. Bishop |
Pattern recognition and machine learning |
026213 |
2011 |
Book |
|
| 5 |
Randall Pruim |
Foundations and applications of statistics: An Introduction Using R |
026070 |
2011 |
Book |
|
| 6 |
Dietrich Stoyan |
Fractals, random shapes and point fields: Methods of Geometrical Statistics |
026079 |
1994 |
Book |
|
| 7 |
Frederick L. Coolidge |
Statistics: A Gentle Introduction |
024661 |
2013 |
Book |
|
| 8 |
Markus Aschwanden |
Self-organized criticality in astrophysics: The Statistics of nonlinear processes in the universe |
024385 |
2011 |
Book |
|
| 9 |
Bradley Efron |
Introduction to the bootstrap |
023404 |
1994 |
Book |
|
| 10 |
Xin Yan |
Linear regression analysis: Theory and computing |
023030 |
2009 |
Book |
|
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1.
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| Title | Econophysics and Sociophysics: Recent Progress and Future Directions |
| Author(s) | Frederic Abergel (ed.);Hideaki Aoyama (ed.);Bikas K. Chakrabarti (ed.);Anirban Chakraborti (ed.);Deo, Nivedita;Raina, Dhruv;Vodenska, Irena |
| Publication | Cham 2017. |
| Description | VIII, 256 p. 85 illus., 77 illus. in color : online resource |
| Abstract Note | This book presents the proceedings from ECONOPHYS-2015, an international workshop held in New Delhi, India, on the interrelated fields of "econophysics" and "sociophysics", which have emerged from the application of statistical physics to economics and sociology. Leading researchers from varied communities, including economists, sociologists, financial analysts, mathematicians, physicists, statisticians, and others, report on their recent work, discuss topical issues, and review the relevant contemporary literature. A society can be described as a group of people who inhabit the same geographical or social territory and are mutually involved through their shared participation in different aspects of life. It is possible to observe and characterize average behaviors of members of a society, an example being voting behavior. Moreover, the dynamic nature of interaction within any economic sector comprising numerous cooperatively interacting agents has many features in common with the interacting systems of statistical physics. It is on these bases that interest has grown in the application within sociology and economics of the tools of statistical mechanics. This book will be of value for all with an interest in this flourishing field |
| ISBN,Price | 9783319477053 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. Data-driven Science, Modeling and Theory Building
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOPHYSICS
6. Sociophysics
7. STATISTICS
8. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
9. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08636 |
|
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On Shelf |
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2.
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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
|
| 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 |
On Shelf |
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+Copy Specific Information |
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3.
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| Title | Data analysis techniques for physical scientists |
| Author(s) | Claude A. Pruneau |
| Publication | Cambridge, Cambridge University Press, 2017. |
| Description | xiii, 704p. |
| Abstract Note | A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques. |
| ISBN,Price | 9781108416788 : UKP 69.99(HB) |
| Classification | 53:681.3
|
| Keyword(s) | 1. DATA CORRECTION METHODS
2. EBOOK
3. EBOOK - CAMBRIDGE UNIVERSITY PRESS
4. Kalman filtering
5. MEASUREMENT TECHNIQUES
6. PROBABILITY
7. SIMULATION TECHNIQUES
8. STATISTICS
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 026279 |
|
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On Shelf |
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| OB1312 |
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53:681.3/PRU/ |
On Shelf |
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7.
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| Title | Statistics: A Gentle Introduction |
| Author(s) | Frederick L. Coolidge |
| Edition | 3rd. |
| Publication | London, Sage Publications, 2013. |
| Description | xxiv, 458p. |
| Abstract Note | Book is an introductory stats class neednât be difficult or dull! This textbook has been specifically designed to curtail studentsâ anxieties and minimize unnecessary formulas, while providing a comprehensive review of basic statistical designs and analyses. A wealth of additional real-world examples have been included to give a sense of how the science of statistics works, solves problems, and helps us make informed choices about the world we live in. The author minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes a glossary of key terms, symbols, and definitions at the end of each chapter. Every chapter also includes a short story about historical and contemporary statisticians who figured prominently in the evolution of the discipline of statistics. New to the Third Edition is the thorough incorporation of SPSS throughout, more visual material and figures, and an enhanced treatment of effect sizes, and more detailed explanation of statistical concepts. |
| ISBN,Price | 9781412991711 : US $70.00(PB) |
| Classification | 519.22
|
| Keyword(s) | 1. ANALYSIS OF VARIANCE
2. ANOVA
3. DESCRIPTIVE STATISTICS
4. STATISTICS
5. t TEST
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 024661 |
|
519.22/COO/024661 |
On Shelf |
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+Copy Specific Information |
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8.
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| Title | Self-organized criticality in astrophysics: The Statistics of nonlinear processes in the universe |
| Author(s) | Markus Aschwanden |
| Publication | Heidelberg, Springer, 2011. |
| Description | xiv, 416p. |
| Abstract Note | The concept of 'self-organized criticality' (SOC) has been applied to a variety of problems, ranging from population growth and traffic jams to earthquakes, landslides and forest fires. The technique is now being applied to a wide range of phenomena in astrophysics, such as planetary magnetospheres, solar flares, cataclysmic variable stars, accretion disks, black holes and gamma-ray bursts, and also to phenomena in galactic physics and cosmology. Self-organized Criticality in Astrophysics introduces the concept of SOC and shows that, due to its universality and ubiquity, it is a law of nature. The theoretical framework and specific physical models are described, together with a range of applications in various aspects of astrophyics. The mathematical techniques, including the statistics of random processes, time series analysis, time scale and waiting time distributions, are presented and the results are applied to specific observations of astrophysical phenomena. |
| ISBN,Price | 9783642150005 : Euro 89.95(HB) |
| Classification | 52-1/-8:530.16
|
| Keyword(s) | 1. ASTROPHYSICS
2. NONLINEAR PROCESSES
3. NONLINEAR THEORIES
4. SELF-ORGANIZED CRITICALIT
5. SOLAR FLARES
6. STATISTICS
7. STELLAR FLARES
|
| Item Type | Book |
Multi-Media Links
Please click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 024385 |
|
52-1/-8:530.16/ASC/024385 |
On Shelf |
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+Copy Specific Information | |