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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 HFunction 
I05634 
2010 
eBook 

10 
Roussas, G.G 
Nonparametric Functional Estimation and Related Topics 
I04765 
1991 
eBook 


1.


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 threedimensional space, analysing their geometry on the small scale, as well as their global fractality and topological complexityincluding knottingon 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

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Call#  Status  Issued To  Return Due On  Physical Location 
I10040 


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2.


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 stepbystep 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??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09810 


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3.


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 powerlaw statistics. Following a bottomup construction from a foundational bedrock ??? the power Poisson process ??? this monograph presents a unified study of an assortment of powerlaw statistics including: Pareto laws, Zipf laws, Weibull and Fr??chet laws, power Lorenz curves, L??vy laws, power NewcombBenford laws, subdiffusion and superdiffusion, and 1/f and flicker noises. The bedrock power Poisson process, as well as the assortment of powerlaw 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 powerlaw 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 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I08903 


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5.


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 nonGaussian 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 chisquaredcriterion, but this longstanding 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??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11266 


On Shelf 




6.


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, highprecision astrometry from satellite data, deepspace 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??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10925 


On Shelf 




7.


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??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I07208 


On Shelf 




8.


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 presentday analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to twodimensional 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 theorythenapplication 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??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I06072 


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9.


Title  The HFunction : 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 Hfunction 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 Hfunction, then explores the properties and relationships among the Laplace, Fourier, Hankel, and other transforms. From here, the Hfunctions 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 realvalued scalar functions when the matrices are real or Hermitian positivedefinite. The text concludes with important recent applications to physical problems in reaction, diffusion, reactiondiffusion 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

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I05634 


On Shelf 




10.
 
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 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I04765 


On Shelf 



 