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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Taylor, Alexander John |
Analysis of Quantised Vortex Tangle |
I10040 |
2017 |
eBook |
|
| 2 |
Vitali, Ettore |
Theory and Simulation of Random Phenomena |
I09810 |
2018 |
eBook |
|
| 3 |
Eliazar, Iddo |
Power Laws |
I08903 |
2020 |
eBook |
|
| 4 |
Sharp, Kim |
Entropy and the Tao of Counting |
I08704 |
2019 |
eBook |
|
| 5 |
Harney, Hanns L |
Bayesian Inference |
I11266 |
2003 |
eBook |
|
| 6 |
Feigelson, Eric D |
Statistical Challenges in Astronomy |
I10925 |
2003 |
eBook |
|
| 7 |
Starck, J.-L |
Astronomical Image and Data Analysis |
I07208 |
2006 |
eBook |
|
| 8 |
Bonamente, Massimiliano |
Statistics and Analysis of Scientific Data |
I06072 |
2013 |
eBook |
|
| 9 |
Mathai, A.M |
The H-Function |
I05634 |
2010 |
eBook |
|
| 10 |
Roussas, G.G |
Nonparametric Functional Estimation and Related Topics |
I04765 |
1991 |
eBook |
|
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1.
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| Title | Analysis of Quantised Vortex Tangle |
| Author(s) | Taylor, Alexander John |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVI, 197 p. 95 illus., 84 illus. in color : online resource |
| Abstract Note | In this thesis, the author develops numerical techniques for tracking and characterising the convoluted nodal lines in three-dimensional space, analysing their geometry on the small scale, as well as their global fractality and topological complexity---including knotting---on the large scale. The work is highly visual, and illustrated with many beautiful diagrams revealing this unanticipated aspect of the physics of waves. Linear superpositions of waves create interference patterns, which means in some places they strengthen one another, while in others they completely cancel each other out. This latter phenomenon occurs on 'vortex lines' in three dimensions. In general wave superpositions modelling e.g. chaotic cavity modes, these vortex lines form dense tangles that have never been visualised on the large scale before, and cannot be analysed mathematically by any known techniques. |
| ISBN,Price | 9783319485560 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. MATHEMATICAL PHYSICS
4. Numerical and Computational Physics, Simulation
5. PHYSICS
6. Statistical Theory and Methods
7. Statistics??
8. TOPOLOGY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10040 |
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On Shelf |
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2.
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| Title | Theory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications |
| Author(s) | Vitali, Ettore;Motta, Mario;Galli, Davide Emilio |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XIII, 235 p. 5 illus : online resource |
| Abstract Note | The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which typically are presented in textbooks that require a very strong mathematical background. Second, while leading the reader on this journey, it aims to impart the knowledge needed in order to develop algorithms that simulate realistic physical systems. Connections with several fields of pure and applied physics, from quantum mechanics to econophysics, are provided. Furthermore, the inclusion of fully solved exercises will enable the reader to learn quickly and to explore topics not covered in the main text. The book will appeal especially to graduate students wishing to learn how to simulate physical systems and to deepen their knowledge of the mathematical framework, which has very deep connections with modern quantum field theory |
| ISBN,Price | 9783319905150 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Mathematical Applications in the Physical Sciences
4. Mathematical Methods in Physics
5. MATHEMATICAL PHYSICS
6. Numerical and Computational Physics, Simulation
7. PHYSICS
8. PROBABILITIES
9. Probability Theory and Stochastic Processes
10. Statistical Theory and Methods
11. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09810 |
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On Shelf |
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3.
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| Title | Power Laws : A Statistical Trek |
| Author(s) | Eliazar, Iddo |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XX, 203 p. 1 illus : online resource |
| Abstract Note | This monograph is a comprehensive and cohesive exposition of power-law statistics. Following a bottom-up construction from a foundational bedrock ??? the power Poisson process ??? this monograph presents a unified study of an assortment of power-law statistics including: Pareto laws, Zipf laws, Weibull and Fr??chet laws, power Lorenz curves, L??vy laws, power Newcomb-Benford laws, sub-diffusion and super-diffusion, and 1/f and flicker noises. The bedrock power Poisson process, as well as the assortment of power-law statistics, are investigated via diverse perspectives: structural, stochastic, fractal, dynamical, and socioeconomic. This monograph is poised to serve researchers and practitioners ??? from various fields of science and engineering ??? that are engaged in analyses of power-law statistics |
| ISBN,Price | 9783030332358 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. EBOOK
5. EBOOK - SPRINGER
6. STATISTICAL PHYSICS
7. Statistical Physics and Dynamical Systems
8. Statistical Theory and Methods
9. Statistics??
10. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08903 |
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On Shelf |
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5.
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| Title | Bayesian Inference : Parameter Estimation and Decisions |
| Author(s) | Harney, Hanns L |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. |
| Description | XIII, 263 p : online resource |
| Abstract Note | The book provides a generalization of Gaussian error intervals to situations where the data follow non-Gaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chi-squared-criterion, but this long-standing problem is solved here. The book is based on Bayes' theorem, symmetry and differential geometry. In addition to solutions of practical problems, the text provides an epistemic insight: The logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. However, no knowledge of quantum mechanics is required. The text, examples and exercises are written at an introductory level |
| ISBN,Price | 9783662060063 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. QUANTUM COMPUTERS
10. Quantum Information Technology, Spintronics
11. QUANTUM PHYSICS
12. SPINTRONICS
13. STATISTICAL PHYSICS
14. Statistical Theory and Methods
15. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11266 |
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On Shelf |
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6.
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| Title | Statistical Challenges in Astronomy |
| Author(s) | Feigelson, Eric D;Babu, Jogesh |
| Publication | New York, NY, Springer New York, 2003. |
| Description | XXII, 506 p : online resource |
| Abstract Note | Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus emerge when astronomers and statisticians join in examining astrostatistical problems and approaches. The book begins with an historical overview and tutorial articles on basic cosmology for statisticians and the principles of Bayesian analysis for astronomers. As in earlier volumes in this series, research contributions discussing topics in one field are joined with commentary from scholars in the other. Thus, for example, an overview of Bayesian methods for Poissonian data is joined by discussions of planning astronomical observations with optimal efficiency and nested models to deal with instrumental effects. The principal theme for the volume is the statistical methods needed to model fundamental characteristics of the early universe on its largest scales |
| ISBN,Price | 9780387215297 |
| Keyword(s) | 1. Astronomy, Observations and Techniques
2. Astronomy???Observations
3. COSMOLOGY
4. EBOOK
5. EBOOK - SPRINGER
6. Observations, Astronomical
7. SPACE SCIENCES
8. Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
9. Statistical Theory and Methods
10. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10925 |
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On Shelf |
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7.
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| Title | Astronomical Image and Data Analysis |
| Author(s) | Starck, J.-L;Murtagh, F |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2006. |
| Description | XIV, 338 p : online resource |
| Abstract Note | With information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis using a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field and draw upon decades of experience. They have been playing leading roles in international projects such as the Virtual Observatory and the Grid. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools. This second edition of Starck and Murtagh's highly appreciated reference again deals with topics that are at or beyond the state of the art. It presents material which is more algorithmically oriented than most alternatives and broaches new areas like ridgelet and curvelet transforms. Throughout the book various additions and updates have been made |
| ISBN,Price | 9783540330257 |
| Keyword(s) | 1. Astronomy, Observations and Techniques
2. Astronomy???Observations
3. DATABASE MANAGEMENT
4. EBOOK
5. EBOOK - SPRINGER
6. Information storage and retrieval
7. Observations, Astronomical
8. Statistical Theory and Methods
9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
10. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07208 |
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On Shelf |
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8.
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| Title | Statistics and Analysis of Scientific Data |
| Author(s) | Bonamente, Massimiliano |
| Publication | New York, NY, Springer New York, 2013. |
| Description | XV, 301 p : online resource |
| Abstract Note | 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 |
| ISBN,Price | 9781461479840 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. Numerical and Computational Physics, Simulation
6. PHYSICS
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. Statistical Theory and Methods
12. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06072 |
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On Shelf |
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9.
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| Title | The H-Function : Theory and Applications |
| Author(s) | Mathai, A.M;Saxena, Ram Kishore;Haubold, Hans J |
| Publication | New York, NY, Springer New York, 2010. |
| Description | XIV, 268 p : online resource |
| Abstract Note | The topics of special H-function and fractional calculus are currently undergoing rapid changes both in theory and application. Taking into account the latest research results, the authors delve into these topics as they relate to applications to problems in statistics, physics, and engineering, particularly in condensed matter physics, plasma physics, and astrophysics. The book sets forth the definitions, contours, existence conditions, and particular cases for the H-function, then explores the properties and relationships among the Laplace, Fourier, Hankel, and other transforms. From here, the H-functions are utilized for applications in statistical distribution theory, structures of random variables, generalized distributions, Mathai???s pathway models, and versatile integrals. Functions of matrix argument are introduced with a focus on real-valued scalar functions when the matrices are real or Hermitian positive-definite. The text concludes with important recent applications to physical problems in reaction, diffusion, reaction-diffusion theory and statistics, and superstatistics. Generalized entropies as well as applications in astrophysics are dealt with. Over the last few years, material in this book has been added to various courses and developed to meet the needs of scholars at the PhD level. All exercises in the book have been used to probe the knowledge and ability of mathematics, statistics, and physics to students and researchers. |
| ISBN,Price | 9781441909169 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. EBOOK
3. EBOOK - SPRINGER
4. ENGINEERING MATHEMATICS
5. FUNCTIONAL ANALYSIS
6. Mathematical and Computational Engineering
7. Mathematical Methods in Physics
8. MATHEMATICAL PHYSICS
9. PHYSICS
10. SPECIAL FUNCTIONS
11. Statistical Theory and Methods
12. Statistics??
13. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05634 |
|
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On Shelf |
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10.
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| Title | Nonparametric Functional Estimation and Related Topics |
| Author(s) | Roussas, G.G |
| Publication | Dordrecht, Springer Netherlands, 1991. |
| Description | XIII, 708 p : online resource |
| Abstract Note | About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility of holding an international conference, focusing exclusively on nonparametric curve estimation. The fruition of this idea came about with the enthusiastic support of this project by Luc Devroye of McGill University, Canada, and Peter Robinson of the London School of Economics, UK. The response of colleagues, contacted to ascertain interest in participation in such a conference, was gratifying and made the effort involved worthwhile. Devroye and Robinson, together with this editor and George Metakides of the University of Patras, Greece and of the European Economic Communities, Brussels, formed the International Organizing Committee for a two week long Advanced Study Institute (ASI) sponsored by the Scientific Affairs Division of the North Atlantic Treaty Organization (NATO). The ASI was held on the Greek Island of Spetses between July 29 and August 10, 1990. Nonparametric functional estimation is a central topic in statistics, with applications in numerous substantive fields in mathematics, natural and social sciences, engineering and medicine. While there has been interest in nonparametric functional estimation for many years, this has grown of late, owing to increasing availability of large data sets and the ability to process them by means of improved computing facilities, along with the ability to display the results by means of sophisticated graphical procedures |
| ISBN,Price | 9789401132220 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. PROBABILITIES
4. Probability Theory and Stochastic Processes
5. Statistical Theory and Methods
6. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04765 |
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On Shelf |
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