Автор: Becketti Название: Introduction to Time Series Using Stata ISBN: 1597181323 ISBN-13(EAN): 9781597181327 Издательство: Taylor&Francis Рейтинг: Цена: 7732 р. Наличие на складе: Невозможна поставка.
Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.
Описание: Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context of physical theories are both areas that have been neglected by philosophers of physics. This book fills an important gap in the literature by providing a most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics. The book explores both subjectivist and objectivist accounts of probability, and takes full measure of work in the foundations of probability theory, in statistical mechanics, and in mathematical theory. It will be of particular interest to philosophers of science, physicists and mathematicians interested in foundational issues, and also to historians of science.
Описание: A reference for physicists desiring to master the finer points of statistical data analysis. It contains material, especially in areas concerning the theory and practice of confidence intervals, including the important Feldman-Cousins method. It also presents both frequentist and Bayesian methodologies.
Описание: Presents frequentist and Bayesian methodologies, with an emphasis on techniques useful to physicists and other scientists in the interpretation of experimental data and comparison with scientific theories. This is a useful textbook for advanced graduate students in the physical sciences as well as a reference for active researchers.
Описание: The first six chapters of this volume present the author`s `predictive` or information theoretic` approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le.
Автор: Mecke Название: Statistical Physics and Spatial Statistics ISBN: 354067750X ISBN-13(EAN): 9783540677505 Издательство: Springer Рейтинг: Цена: 9345 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modern physics is confronted with a large variety of complex spatial patterns. Although both spatial statisticians and statistical physicists study random
geometrical structures, there has been only little interaction between the two up to now because of different traditions and languages. This volume aims to change this situation by
presenting in a clear way fundamental concepts of spatial statistics which are of great potential value for condensed matter physics and materials sciences in general, and for porous
media, percolation and Gibbs processes in particular.
Geometric aspects, in particular ideas of stochastic and integral geometry, play a central role throughout. With
nonspecialist researchers and graduate students also in mind, prominent physicists give an excellent introduction here to modern ideas of statistical physics pertinent to this exciting field
Автор: Newman, Mark Barkema, G.t. Название: Monte carlo methods in statistical physics ISBN: 0198517971 ISBN-13(EAN): 9780198517979 Издательство: Oxford Academ Рейтинг: Цена: 8014 р. Наличие на складе: Невозможна поставка.
Описание: Provides an introduction to the use of Monte Carlo computer simulation methods suitable for beginning graduate students and beyond. This title is suitable for a course text for physics or chemistry departments or for self-teaching.
Автор: Reichl, L.e. Название: Modern course in statistical physics ISBN: 0471595209 ISBN-13(EAN): 9780471595205 Издательство: Wiley Цена: 12768 р. Наличие на складе: Поставка под заказ.
Описание: This text on statistical physics includes special topic sections at the end of each chapter and demonstration exercises to help the student understand the material and solve homework problems.
Описание: Presents a collection of courses introducing the reader to the progress with attention being paid to laying solid grounds and developing various basic tools. This title includes an introductory chapter on lattice spin models which is useful as a background for other lectures of the collection.
Описание: Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
Описание: Low-dimensional statistical models are instrumental in improving our understanding of emerging fields, such as quantum computing and cryptography, complex systems, and quantum fluids. This book of lectures by international leaders in the field sets these issues into a larger and more coherent theoretical perspective than is currently available.
Описание: This 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).
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