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1 Bonamente, Massimiliano Statistics and Analysis of Scientific Data I10326 2017 eBook  
2 Ma??a, Carlos Probability and Statistics for Particle Physics I10178 2017 eBook  
3 C??ceres, Manuel Osvaldo Non-equilibrium Statistical Physics with Application to Disordered Systems I10110 2017 eBook  
4 Lista, Luca Statistical Methods for Data Analysis in Particle Physics I09963 2016 eBook  
5 Harney, Hanns Ludwig Bayesian Inference I09850 2016 eBook  
6 Kanazawa, Kiyoshi Statistical Mechanics for Athermal Fluctuation I09662 2017 eBook  
7 Roe, Byron P Probability and Statistics in the Physical Sciences I09593 2020 eBook  
8 Cataldo, Andrea Basic Theory and Laboratory Experiments in Measurement and Instrumentation I09499 2020 eBook  
9 Dunger, Jack Event Classification in Liquid Scintillator Using PMT Hit Patterns I09315 2019 eBook  
10 Young, Carl S Risk and the Theory of Security Risk Assessment I08998 2019 eBook  
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TitleStatistics and Analysis of Scientific Data
Author(s)Bonamente, Massimiliano
PublicationNew York, NY, 1. Imprint: Springer 2. 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, 1. Imprint: Springer 2. 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, 1. Imprint: Springer 2. 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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TitleStatistical Methods for Data Analysis in Particle Physics
Author(s)Lista, Luca
PublicationCham, 1. Imprint: Springer 2. 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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TitleBayesian Inference : Data Evaluation and Decisions
Author(s)Harney, Hanns Ludwig
PublicationCham, 1. Imprint: Springer 2. 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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TitleStatistical Mechanics for Athermal Fluctuation : Non-Gaussian Noise in Physics
Author(s)Kanazawa, Kiyoshi
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2017.
DescriptionXVI, 222 p. 53 illus., 46 illus. in color : online resource
Abstract NoteThe author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies. First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the au thor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods
ISBN,Price9789811063329
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Applications in the Physical Sciences 6. MATHEMATICAL PHYSICS 7. STATISTICAL PHYSICS 8. Statistical Physics and Dynamical Systems 9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 10. Statistics?? 11. THERMODYNAMICS
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TitleProbability and Statistics in the Physical Sciences
Author(s)Roe, Byron P
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXIII, 285 p. 54 illus., 5 illus. in color : online resource
Abstract NoteThis book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes??? theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems
ISBN,Price9783030536947
Keyword(s)1. ASTRONOMY 2. Astronomy, Astrophysics and Cosmology 3. ASTROPHYSICS 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Mathematical Methods in Physics 9. NUCLEAR PHYSICS 10. Particle and Nuclear Physics 11. PHYSICS 12. Sociophysics 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics??
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TitleBasic Theory and Laboratory Experiments in Measurement and Instrumentation : A Practice-Oriented Guide
Author(s)Cataldo, Andrea;Giaquinto, Nicola;De Benedetto, Egidio;Masciullo, Antonio;Cannazza, Giuseppe;Lorenzo, Ilaria;Nicolazzo, Jacopo;Meo, Maria Teresa;De Monte, Alessando;Parisi, Gianluca;Gaetani, Federico
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXIV, 191 p. 168 illus., 41 illus. in color : online resource
Abstract NoteThis textbook offers a unique compendium of measurement procedures for experimental data acquisition. After introducing readers to the basic theory of uncertainty evaluation in measurements, it shows how to apply it in practice to conduct a range of laboratory experiments with instruments and procedures operating both in the time and frequency domains. Offering extensive practical information and hands-on tips on using oscilloscopes, spectrum analyzers and reflectometric instrumentation, the book shows readers how to deal with e.g. filter characterization, operational amplifiers, digital and analogic spectral analysis, and reflectometry-based measurements. For each experiment, it describes the corresponding uncertainty evaluation in detail. Bridging the gap between theory and practice, the book offers a unique, self-contained guide for engineering students and professionals alike. It also provides university teachers and professors with a valuable resource for their laboratory courses on electric and electronic measurements
ISBN,Price9783030467401
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. ELECTRONICS 4. Electronics and Microelectronics, Instrumentation 5. Measurement Science and Instrumentation 6. Measurement?????? 7. MICROELECTRONICS 8. PHYSICAL MEASUREMENTS 9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 10. Statistics??
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TitleEvent Classification in Liquid Scintillator Using PMT Hit Patterns : for Neutrinoless Double Beta Decay Searches
Author(s)Dunger, Jack
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionXVII, 223 p. 166 illus., 102 illus. in color : online resource
Abstract NoteThe search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages. One promising experimental approach involves the use of large volumes of isotope-loaded liquid scintillator, but new techniques for background identification and suppression must be developed in order to reach the required sensitivity levels and clearly distinguish the signal. The results from this thesis constitute a significant advance in this area, laying the groundwork for several highly effective and novel approaches based on a detailed evaluation of state-of-the-art detector characteristics. This well written thesis includes a particularly clear and comprehensive description of the theoretical motivations as well as impressively demonstrating the effective use of diverse statistical techniques. The professionally constructed signal extraction framework contains clever algorithmic solutions to efficient error propagation in multi-dimensional space. In general, the techniques developed in this work will have a notable impact on the field
ISBN,Price9783030316167
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. IMAGE PROCESSING 4. Measurement Science and Instrumentation 5. Measurement?????? 6. Particle acceleration 7. Particle Acceleration and Detection, Beam Physics 8. PHYSICAL MEASUREMENTS 9. SIGNAL PROCESSING 10. Signal, Image and Speech Processing 11. Speech processing systems 12. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 13. Statistics??
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TitleRisk and the Theory of Security Risk Assessment
Author(s)Young, Carl S
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionXXIII, 274 p. 81 illus : online resource
Abstract NoteThis book provides the conceptual foundation of security risk assessment and thereby enables reasoning about risk from first principles. It presents the underlying theory that is the basis of a rigorous and universally applicable security risk assessment methodology. Furthermore, the book identifies and explores concepts with profound operational implications that have traditionally been sources of ambiguity if not confusion in security risk management. Notably, the text provides a simple quantitative model for complexity, a significant driver of risk that is typically not addressed in security-related contexts. Risk and The Theory of Security Risk Assessment is a primer of security risk assessment pedagogy, but it also provides methods and metrics to actually estimate the magnitude of security risk. Concepts are explained using numerous examples, which are at times both enlightening and entertaining. As a result, the book bridges a longstanding gap between theory and practice, and therefore will be a useful reference to students, academics and security practitioners.
ISBN,Price9783030306007
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SECURITY 3. EBOOK 4. EBOOK - SPRINGER 5. Risk management 6. Security Science and Technology 7. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 8. Statistics?? 9. System safety 10. SYSTEM THEORY 11. Systems and Data Security
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