Fundamentals of Statistics with Fuzzy Data, Hung T. Nguyen; Berlin Wu
Автор: Bonamente Название: Statistics and Analysis of Scientific Data ISBN: 1493965700 ISBN-13(EAN): 9781493965700 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The 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.
Автор: Borradaile Название: Statistics of Earth Science Data ISBN: 3540436030 ISBN-13(EAN): 9783540436034 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is intended for both undergraduate and graduate students in all branches of Earth science needing an introduction to any aspect of data treatment in connection with thesis preparation or writing up a project. It will also aid professional earth scientists to make the most of the interpretation of numerical data using spreadsheets and non-specialized commercial software. This is not merely a traditional statistics primer, it covers sampling, time series, orientation data in two and three dimensions and is very well illustrated with meaningful examples.
Автор: Baldwin Название: Fundamentals of Stability Theory ISBN: 1107168090 ISBN-13(EAN): 9781107168091 Издательство: Cambridge Academ Рейтинг: Цена: 23918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introduction to first order stability theory, organized around the spectrum problem, contains the first publication of complete proofs of the Vaught conjecture for -stable theories and Shelah`s infamous example showing the necessity of his methods to solve the conjecture.
Автор: Franke Название: Statistics of Financial Markets, 3 ed. ISBN: 3642165206 ISBN-13(EAN): 9783642165207 Издательство: Springer Рейтинг: Цена: 10475.00 р. Наличие на складе: Поставка под заказ.
Описание: Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic. For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation.Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. H?rdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4.“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”
Автор: Bouchard Название: Fundamentals and Advanced Techniques in Derivatives Hedging ISBN: 3319389882 ISBN-13(EAN): 9783319389882 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book covers the theory of derivatives pricing and hedging as well as techniques used in mathematical finance. The authors use a top-down approach, starting with fundamentals before moving to applications, and present theoretical developments alongside various exercises, providing many examples of practical interest.
A large spectrum of concepts and mathematical tools that are usually found in separate monographs are presented here. In addition to the no-arbitrage theory in full generality, this book also explores models and practical hedging and pricing issues. Fundamentals and Advanced Techniques in Derivatives Hedging further introduces advanced methods in probability and analysis, including Malliavin calculus and the theory of viscosity solutions, as well as the recent theory of stochastic targets and its use in risk management, making it the first textbook covering this topic.
Graduate students in applied mathematics with an understanding of probability theory and stochastic calculus will find this book useful to gain a deeper understanding of fundamental concepts and methods in mathematical finance.
Описание: This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN). Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed. The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization – the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms.The distinguishing feature of this monograph is a great number of practical examples of CI technologies and methods application for solution of real problems in technology, economy and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution.
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