SLIM21

Sort Order Display Format Items / Page  
 
  Click the serial number on the left to view the details of the item.
 #  AuthorTitleAccn#YearItem 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  
(page:1 / 2) [#14]    Next Page   Last Page 

1.    
No image available
TitleAnalysis of Quantised Vortex Tangle
Author(s)Taylor, Alexander John
PublicationCham, Springer International Publishing, 2017.
DescriptionXVI, 197 p. 95 illus., 84 illus. in color : online resource
Abstract NoteIn 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,Price9783319485560
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10040     On Shelf    

2.     
No image available
TitleTheory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications
Author(s)Vitali, Ettore;Motta, Mario;Galli, Davide Emilio
PublicationCham, Springer International Publishing, 2018.
DescriptionXIII, 235 p. 5 illus : online resource
Abstract NoteThe 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,Price9783319905150
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09810     On Shelf    

3.     
No image available
TitlePower Laws : A Statistical Trek
Author(s)Eliazar, Iddo
PublicationCham, Springer International Publishing, 2020.
DescriptionXX, 203 p. 1 illus : online resource
Abstract NoteThis 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,Price9783030332358
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I08903     On Shelf    

4.     
No image available
TitleEntropy and the Tao of Counting : A Brief Introduction to Statistical Mechanics and the Second Law of Thermodynamics
Author(s)Sharp, Kim
PublicationCham, Springer International Publishing, 2019.
DescriptionIX, 63 p. 20 illus : online resource
Abstract NoteThis book provides a complete and accurate atomic level statistical mechanical explanation of entropy and the second law of thermodynamics. It assumes only a basic knowledge of mechanics and requires no knowledge of calculus. The treatment uses primarily geometric arguments and college level algebra. Quantitative examples are given at each stage to buttress physical understanding. This text is of benefit to undergraduate and graduate students, as well as educators and researchers in the physical sciences (whether or not they have taken a thermodynamics course) who want to understand or teach the atomic/molecular origins of entropy and the second law. It is particularly aimed at those who, due to insufficient mathematical background or because of their area of study, are not going to take a traditional statistical mechanics course
ISBN,Price9783030354572
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Engineering Thermodynamics, Heat and Mass Transfer 4. Heat engineering 5. HEAT TRANSFER 6. MASS TRANSFER 7. PHYSICAL CHEMISTRY 8. STATISTICAL PHYSICS 9. Statistical Physics and Dynamical Systems 10. Statistical Theory and Methods 11. Statistics?? 12. THERMODYNAMICS
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I08704     On Shelf    

5.     
No image available
TitleBayesian Inference : Parameter Estimation and Decisions
Author(s)Harney, Hanns L
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2003.
DescriptionXIII, 263 p : online resource
Abstract NoteThe 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,Price9783662060063
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11266     On Shelf    

6.     
No image available
TitleStatistical Challenges in Astronomy
Author(s)Feigelson, Eric D;Babu, Jogesh
PublicationNew York, NY, Springer New York, 2003.
DescriptionXXII, 506 p : online resource
Abstract NoteDigital 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,Price9780387215297
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10925     On Shelf    

7.     
No image available
TitleAstronomical Image and Data Analysis
Author(s)Starck, J.-L;Murtagh, F
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2006.
DescriptionXIV, 338 p : online resource
Abstract NoteWith 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,Price9783540330257
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I07208     On Shelf    

8.     
No image available
TitleStatistics and Analysis of Scientific Data
Author(s)Bonamente, Massimiliano
PublicationNew York, NY, Springer New York, 2013.
DescriptionXV, 301 p : online resource
Abstract NoteStatistics 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,Price9781461479840
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I06072     On Shelf    

9.     
No image available
TitleThe H-Function : Theory and Applications
Author(s)Mathai, A.M;Saxena, Ram Kishore;Haubold, Hans J
PublicationNew York, NY, Springer New York, 2010.
DescriptionXIV, 268 p : online resource
Abstract NoteThe 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,Price9781441909169
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I05634     On Shelf    

10.    
No image available
TitleNonparametric Functional Estimation and Related Topics
Author(s)Roussas, G.G
PublicationDordrecht, Springer Netherlands, 1991.
DescriptionXIII, 708 p : online resource
Abstract NoteAbout 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,Price9789401132220
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. PROBABILITIES 4. Probability Theory and Stochastic Processes 5. Statistical Theory and Methods 6. Statistics??
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I04765     On Shelf    

(page:1 / 2) [#14]    Next Page   Last Page