Page 8
Page 8
String Theory and Fundamental Interactions : Gabriele Veneziano and Theoretical Physics : Historical and Contemporary Perspectives
Examines the many ramifications this and similar early work has spawned over the past decades and the reader will find state-of-the art tutorial reviews on string cosmology, string dualities and symmetries, and much more. The book includes a concise updated scientific biography of, and an interview with, Prof. Veneziano, in which he relates his personal views about the present and future of fundamental physics.
String Theory : from Gauge Interactions to Cosmology ; Proceedings of the NATO Advanced Study Institute on String Theory: From Gauge Interactions to Cosmology, Cargèse, France, from 7 to 19 June 2004
String Theory is our current best candidate for the unification of all fundamental forces, including gravity, in a consistent quantum framework. In this collection of lectures delivered at the Cargèse Summer School "String Theory: from Gauge Interactions to Cosmology'', world leading experts provide an up-to-date survey of the latest developments in this topic, including the gauge/gravity correspondence, superstring cosmology and cosmic strings, topological string theory and matrix models, physics beyond the standard model and the landscape of vacua of string theory, conformal field theory and critical phenomena in statistical mechanics.
Stochastic Discrete Event Systems : Modeling, Evaluation, Applications
The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model. An abstract model class for SDES is presented as a pivotal unifying result. Several important model classes, including queuing networks, Petri nets and automata, are detailed together with their formal translation into this abstract model class. Standard and recently developed algorithms for the performance evaluation, optimization and control of SDES are presented in the context of the abstract model class. The necessary software tool support is also covered. The book is completed with nontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management, highlighting the application of the techniques presented.
Stochastic and Integral Geometry
Stochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and engineering, and in its theoretical foundations and mathematical expansion. This book, by two eminent specialists of the subject, provides a solid mathematical treatment of the basic models of stochastic geometry -- random sets, point processes of geometric objects (particles, flats), and random mosaics. It develops, in a measure-theoretic setting, the integral geometry for the motion and the translation group, as needed for the investigation of these models under the usual invariance assumptions. A characteristic of the book is the interplay between stochastic and geometric arguments, leading to various major results. Its main theme, once the foundations have been laid, is the quantitative investigation of the basic models.
Stochastic Analysis and Applications ; The Abel Symposium 2005
The Abel Symposium 2005 was organized as a tribute to the work of Kiyosi Ito on the occasion of his 90th birthday. Distinguished researchers from all over the world were invited to present the newest developments within the exciting and fast growing field of stochastic analysis. The present volume combines both papers from the invited speakers and contributions by the presenting lecturers.
Stochastic Algorithms : Foundations and Applications; 3rd International Symposium, SAGA 2005, Moscow, Russia, October 20-22, 2005
Constitutes the refereed proceedings of the Third International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2005, held in Moscow, Russia in October 2005. This title includes papers that cover both theoretical as well as applied aspects of stochastic computations with a special focus on the algorithmic ideas.
Statsitical Genetics of Quantitative Traits : Linkage, Map, and QTL
Introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlife species.
Statistics of Financial Markets : An Introduction
Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods to evaluate option contracts, to analyse financial time series, to select portfolios and manage risks making realistic assumptions of the market behaviour. The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic.
Statistics for business and economics : Compendium of essential formulas, 3rd ed.
Includes explanations on the use of so-called dummy variables, which are useful because of their operational relevance in practice, especially in financial statistics. topics covered include: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and indexes, correlation analysis, regression analysis, inferential statistics, probability, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the peren-clement index, and standard statistical tables.
Statistical Tools for Finance and Insurance
Presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field of quantitative finance and insurance, this book offers a unique combination of topics from which every market analyst and risk manager will benefit.
Statistical quantitative methods in finance : From theory to quantitative portfolio management
Explores the theoretical foundations of statistical models, from ordinary least squares (OLS) to the generalized method of moments (GMM) used in econometrics. additionally, the book delves into non-linear methods and bayesian approaches, which are becoming increasingly popular among practitioners thanks to advancements in computational resources. the book also offers valuable insights into quantitative portfolio management, showcasing how traditional data science tools can be enhanced with machine learning models. these enhancements are illustrated through real-world examples from finance and econometrics, accompanied by python code.
Statistical Physics : Including Applications to Condensed Matter
Statistical Physics bridges the properties of a macroscopic system and the microscopic behavior of its constituting particles, otherwise impossible due to the giant magnitude of Avogadro's number. Numerous systems of today's key technologies -- as e.g. semiconductors or lasers -- are macroscopic quantum objects; only statistical physics allows for understanding their fundamentals. Therefore, this graduate text also focuses on particular applications such as the properties of electrons in solids with applications, and radiation thermodynamics and the greenhouse effect.
Statistical Physics : An Introduction
Provides a comprehensive presentation of the basics of statistical physics. The first part explains the essence of statistical physics. In the second part, statistical mechanics is applied to various systems which. The book also features applications to quantum dynamics, thermodynamics, the Ising model and the statistical dynamics of free spins.
Statistical Models and Methods for Financial Markets
Pesents statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making. Part I provides basic background in statistics, which includes linear regression and extensions to generalized linear models and nonlinear regression, multivariate analysis, likelihood inference and Bayesian methods, and time series analysis. It also describes applications of these methods to portfolio theory and dynamic models of asset returns and their volatilities. Part II presents advanced topics in quantitative finance and introduces a substantive-empirical modeling approach to address the discrepancy between finance theory and market data. It describes applications to option pricing, interest rate markets, statistical trading strategies, and risk management.
Statistical Methods in Quantum Optics 2 : Non-Classical Fields
Statistical Methods in Quantum Optics 2 - Non-Classical Fields continues the development of the methods used in quantum optics to treat open quantum systems and their fluctuations. Its early chapters build upon the phase-space methods introduced in the first volume Statistical Methods in Quantum Optics 1 - Matter Equations and Fokker-Planck Equations: the difficulties these methods face in treating non-classical light are exposed, where the regime of large fluctuations – failure of the system size expansion – is shown to be particularly problematic. Cavity QED is adopted as a natural vehicle for extending quantum noise theory into this regime. In response to the issues raised, the theory of quantum trajectories is presented as a universal approach to the treatment of fluctuations in open quantum systems.
Statistical Mechanics
The completely revised new edition of the classical book on Statistical Mechanics covers the basic concepts of equilibrium and non-equilibrium statistical physics. In addition to a deductive approach to equilibrium statistics and thermodynamics based on a single hypothesis - the form of the microcanonical density matrix - this book treats the most important elements of non-equilibrium phenomena. Intermediate calculations are presented in complete detail. Problems at the end of each chapter help students to consolidate their understanding of the material. Beyond the fundamentals, this text demonstrates the breadth of the field and its great variety of applications.
Statistical Learning from a Regression Perspective
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical.
State of the Universe 2008 : New Images, Discoveries, and Events
Provides an annual astronomy review suitable for the popular science level reader to be published every September. The book will cover all major astronomical news on topics beyond the Solar System and place them in the context of the longer term goals of astronomers and astrophysicists around the world. The aim is to capture the excitement and vibrancy of modern astronomical research. This section also includes web links for all major news stories, providing a bridge between the public news stories and the actual research web sites.
Springer Handbook of Experimental Fluid Mechanics
Consolidates authoritative and state-of-the-art information from the large number of disciplines used in experimental fluid mechanics into a readable desk reference book. It comprises four parts covering Experiments in Fluid Mechanics, Measurement of Primary Quantities, Specific Experimental Environments and Techniques, and Analyses and Post-Processing of Data. Prepared for physicists and engineers in research and development in universities, industry and in governmental research institutions or national laboratories. Both experimental methodology and techniques are covered fundamentally and for a wide range of application fields.
Springer Handbook of Atomic, Molecular, and Optical Physics
Comprises a comprehensive reference source that unifies the entire fields of atomic, molecular, and optical (AMO) physics, assembling the principal ideas, techniques and results of the field from atomic spectroscopy to applications in comets. Its 92 chapters are written by over 100 authors, all leaders in their respective disciplines. Carefully edited to ensure uniform coverage and style, with extensive cross references, and acting as a guide to the primary research literature, it is both a source of information and an inspiration for graduate students and other researchers new to the field. Relevant diagrams, graphs, and tables of data are provided throughout the text
