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1 Borda, Monica Randomness and Elements of Decision Theory Applied to Signals I11928 2021 eBook  
2 Baum, Scott Methods in Urban Analysis I11821 2021 eBook  
3 Akmaykin, Denis Alexandrovich Theoretical Foundations of Radar Location and Radio Navigation I11794 2021 eBook  
4 Nielsen, Frank Progress in Information Geometry I11629 2021 eBook  
5 Bonamente, Massimiliano Statistics and Analysis of Scientific Data I10326 2017 eBook  
6 Ma??a, Carlos Probability and Statistics for Particle Physics I10178 2017 eBook  
7 C??ceres, Manuel Osvaldo Non-equilibrium Statistical Physics with Application to Disordered Systems I10110 2017 eBook  
8 Taylor, Alexander John Analysis of Quantised Vortex Tangle I10040 2017 eBook  
9 Lista, Luca Statistical Methods for Data Analysis in Particle Physics I09963 2016 eBook  
10 Harney, Hanns Ludwig Bayesian Inference I09850 2016 eBook  
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TitleRandomness and Elements of Decision Theory Applied to Signals
Author(s)Borda, Monica;Terebes, Romulus;Malutan, Raul;Ilea, Ioana;Cislariu, Mihaela;Miclea, Andreia;Barburiceanu, Stefania
PublicationCham, Springer International Publishing, 2021.
DescriptionXVII, 242 p. 254 illus., 168 illus. in color : online resource
Abstract NoteThis book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes
ISBN,Price9783030903145
Keyword(s)1. Computer science???Mathematics 2. EBOOK 3. EBOOK - SPRINGER 4. MATHEMATICAL STATISTICS 5. OPERATIONS RESEARCH 6. Operations Research and Decision Theory 7. Probability and Statistics in Computer Science 8. SIGNAL PROCESSING 9. Signal, Speech and Image Processing 10. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 11. Statistics??
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TitleMethods in Urban Analysis
Author(s)Baum, Scott
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionVII, 205 p. 23 illus., 16 illus. in color : online resource
Abstract NoteThis book highlights major quantitative and qualitative methods and approaches used in the field of urban analysis. The respective chapters cover the background and relevance of various approaches to urban studies and offer guidance on implementing specific methodologies. Each chapter also provides links to real-world examples. The book is unique in its focus on Australian examples and subject matter, presented by recognized experts in the field.
ISBN,Price9789811616778
Keyword(s)1. COMPLEX SYSTEMS 2. EBOOK 3. EBOOK - SPRINGER 4. Environmental sciences???Mathematics 5. Human geography 6. Mathematical Applications in Environmental Science 7. Sociology, Urban 8. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 9. Statistics?? 10. SYSTEM THEORY 11. Urban economics 12. Urban Sociology
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TitleTheoretical Foundations of Radar Location and Radio Navigation
Author(s)Akmaykin, Denis Alexandrovich;Bolelov, Eduard Anatolyevich;Kozlov, Anatoliy Ivanovich;Lezhankin, Boris Valentinovich;Svistunov, Alexander Evgenievich;Shatrakov, Yury Grigorievich
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVII, 325 p. 213 illus., 38 illus. in color : online resource
Abstract NoteThe book represents a study guide reciting theoretical basics of radar location and radio navigation systems of air and sea transport. This is the distinctive feature of this study guide. The study guide states the principal physics of radar location and radio navigation, main measuring methods of proper and relative movement parameters of an object, tactical and technical characteristics of radar location and radio navigation systems, including examining issues on radiofrequency signals detection and its parameters estimation against background and interference of different type, filtering, combined detection and rating of signals, signals resolution and classification. The structural and functioning principles of the current and advanced radar location and radio navigation systems of air and sea transport are represented in the study guide with an adequate completeness. The study guide features the result of years long lecturing on radar location and radio navigation theoretical courses at the Moscow State Technical University of Civil Aviation and G.I.Nevelskiy Maritime State Technical Academy. The study guide is designated for students of radio-engineering specialties in area of air and sea transport. The study guide can be useful for radio engineers working in the field of air and maritime transport, and for graduate students and academic researchers as well
ISBN,Price9789813365148
Keyword(s)1. Aerospace engineering 2. Aerospace Technology and Astronautics 3. ASTRONAUTICS 4. CLASSICAL ELECTRODYNAMICS 5. EBOOK 6. EBOOK - SPRINGER 7. ELECTRODYNAMICS 8. Security Science and Technology 9. Security systems 10. SIGNAL PROCESSING 11. Signal, Speech and Image Processing 12. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 13. Statistics??
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TitleProgress in Information Geometry : Theory and Applications
Author(s)Nielsen, Frank
PublicationCham, Springer International Publishing, 2021.
DescriptionXII, 274 p. 105 illus., 35 illus. in color : online resource
Abstract NoteThis book focuses on information-geometric manifolds of structured data and models and related applied mathematics. It features new and fruitful interactions between several branches of science: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Statistics on Manifolds, Topology/Machine/Deep Learning and Artificial Intelligence. The selection of applications makes the book a substantial information source, not only for academic scientist but it is also highly relevant for industry. The book project was initiated following discussions at the international conference GSI???2019 ??? Geometric Science of Information that was held at ENAC, Toulouse (France)
ISBN,Price9783030654597
Keyword(s)1. Coding and Information Theory 2. CODING THEORY 3. Communications Engineering, Networks 4. COMPLEX SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. GLOBAL ANALYSIS (MATHEMATICS) 8. Global Analysis and Analysis on Manifolds 9. INFORMATION THEORY 10. Manifolds (Mathematics) 11. SIGNAL PROCESSING 12. Signal, Speech and Image Processing 13. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics?? 15. SYSTEM THEORY 16. TELECOMMUNICATION
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TitleStatistics and Analysis of Scientific Data
Author(s)Bonamente, Massimiliano
PublicationNew York, NY, Springer New York, 2017.
DescriptionXVII, 318 p. 40 illus., 4 illus. in color : online resource
Abstract NoteThe revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: ??? a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. ??? a new chapter on the various measures of the mean including logarithmic averages. ??? new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. ??? a new case study and additional worked examples. ??? mathematical derivations and theoretical background material have been appropriately marked,to improve the readability of the text. ??? end-of-chapter summary boxes, for easy reference. As in the first edition, 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 practical application of the material. 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 readers' understanding of the topic
ISBN,Price9781493965724
Keyword(s)1. APPLIED MATHEMATICS 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical and Computational Engineering 8. Mathematical Methods in Physics 9. PHYSICS 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. Statistics for Business, Management, Economics, Finance, Insurance 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics??
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TitleProbability and Statistics for Particle Physics
Author(s)Ma??a, Carlos
PublicationCham, Springer International Publishing, 2017.
DescriptionX, 244 p. 27 illus., 11 illus. in color : online resource
Abstract NoteThis book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.
ISBN,Price9783319557380
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Mathematical Methods in Physics 4. NUCLEAR PHYSICS 5. Particle and Nuclear Physics 6. PHYSICS 7. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 8. Statistics??
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TitleNon-equilibrium Statistical Physics with Application to Disordered Systems
Author(s)C??ceres, Manuel Osvaldo
PublicationCham, Springer International Publishing, 2017.
DescriptionXXIV, 556 p. 51 illus : online resource
Abstract NoteThis textbook is the result of the enhancement of several courses on non-equilibrium statistics, stochastic processes, stochastic differential equations, anomalous diffusion and disorder. The target audience includes students of physics, mathematics, biology, chemistry, and engineering at undergraduate and graduate level with a grasp of the basic elements of mathematics and physics of the fourth year of a typical undergraduate course. The little-known physical and mathematical concepts are described in sections and specific exercises throughout the text, as well as in appendices. Physical-mathematical motivation is the main driving force for the development of this text. It presents the academic topics of probability theory and stochastic processes as well as new educational aspects in the presentation of non-equilibrium statistical theory and stochastic differential equations.. In particular it discusses the problem of irreversibility in that context and the dynamics of Fokker-Planck. An introduction on fluctuations around metastable and unstable points are given. It also describes relaxation theory of non-stationary Markov periodic in time systems. The theory of finite and infinite transport in disordered networks, with a discussion of the issue of anomalous diffusion is introduced. Further, it provides the basis for establishing the relationship between quantum aspects of the theory of linear response and the calculation of diffusion coefficients in amorphous systems
ISBN,Price9783319515533
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Engineering Thermodynamics, Heat and Mass Transfer 6. Heat engineering 7. HEAT TRANSFER 8. MASS TRANSFER 9. MATHEMATICAL PHYSICS 10. PHYSICAL CHEMISTRY 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics?? 15. THERMODYNAMICS
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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
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TitleStatistical Methods for Data Analysis in Particle Physics
Author(s)Lista, Luca
PublicationCham, Springer International Publishing, 2016.
DescriptionXIX, 172 p. 63 illus., 59 illus. in color : online resource
Abstract NoteThis concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data
ISBN,Price9783319201764
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Elementary particles (Physics) 4. Elementary Particles, Quantum Field Theory 5. Measurement Science and Instrumentation 6. Measurement?????? 7. PHYSICAL MEASUREMENTS 8. QUANTUM FIELD THEORY 9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 10. Statistics??
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10.    
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TitleBayesian Inference : Data Evaluation and Decisions
Author(s)Harney, Hanns Ludwig
PublicationCham, Springer International Publishing, 2016.
DescriptionXIII, 243 p. 39 illus., 3 illus. in color : online resource
Abstract NoteThis new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos
ISBN,Price9783319416441
Keyword(s)1. Computational Mathematics and Numerical Analysis 2. Computer mathematics 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Methods in Physics 6. Medical and Radiation Physics 7. Medical physics 8. NUCLEAR PHYSICS 9. Particle and Nuclear Physics 10. PHYSICS 11. PROBABILITIES 12. Probability Theory and Stochastic Processes 13. RADIATION 14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 15. Statistics??
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