Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 76850.00 T Наличие на складе: Заказано в издательстве. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Glasserman Название: Monte Carlo Methods in Financial Engineering ISBN: 0387004513 ISBN-13(EAN): 9780387004518 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not."
Автор: Boos Название: Essential Statistical Inference ISBN: 1461448174 ISBN-13(EAN): 9781461448174 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Нет в наличии. Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.
Автор: Lai, Tze Leung Xing, Haipeng Название: Statistical models and methods for financial markets ISBN: 1441926682 ISBN-13(EAN): 9781441926685 Издательство: Springer Рейтинг: Цена: 68900.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The authors here present statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making. They provide basic statistical background as well as in-depth applications.
Автор: Cont, Tankov Название: Financial modelling with jump processes ISBN: 1584884134 ISBN-13(EAN): 9781584884132 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.
Автор: Carmona, Rene Название: Statistical Analysis of Financial Data in R ISBN: 1461487870 ISBN-13(EAN): 9781461487876 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Addressing the most challenging issues faced by financial engineers, this book shows how sophisticated mathematics and modern statistical techniques can be used in concrete financial problems. Includes practical examples solved in the R computing environment.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: T. W. Anderson Название: An Introduction to Multivariate Statistical Analysis, Third Edition ISBN: 0471360910 ISBN-13(EAN): 9780471360919 Издательство: Wiley Рейтинг: Цена: 184750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Finance and insurance companies are facing a wide range of parametric statistical problems. Statistical experiments generated by a sample of independent and identically distributed random variables are frequent and well understood, especially those consisting of probability measures of an exponential type. However, the aforementioned applications also offer non-classical experiments implying observation samples of independent but not identically distributed random variables or even dependent random variables.
Three examples of such experiments are treated in this book. First, the Generalized Linear Models are studied. They extend the standard regression model to non-Gaussian distributions. Statistical experiments with Markov chains are considered next. Finally, various statistical experiments generated by fractional Gaussian noise are also described.
In this book, asymptotic properties of several sequences of estimators are detailed. The notion of asymptotical efficiency is discussed for the different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software are given throughout the text.
Examines a range of statistical inference methods in the context of finance and insurance applications
Presents the LAN (local asymptotic normality) property of likelihoods
Combines the proofs of LAN property for different statistical experiments that appears in financial and insurance mathematics
Provides the proper description of such statistical experiments and invites readers to seek optimal estimators (performed in R) for such statistical experiments
Автор: John C. Hull Название: Risk management and financial institutions, 4th ed ISBN: 1118955943 ISBN-13(EAN): 9781118955949 Издательство: Wiley Рейтинг: Цена: 105600.00 T Наличие на складе: Невозможна поставка. Описание: All Finance Professionals Need to Understand Risk Companies must take risks to survive and prosper, but deciding which risks are acceptable, which are not, and what action to take is the tricky part. To be successful, all finance professionals need a solid understanding of risk. Risk Management and Financial Institutions, written by one of the most respected authorities on financial risk management, is thorough, textbook–level instruction for all finance professionals, on all aspects of financial risk. Fully revised and updated, this top–selling book clarifies such complex topics as the diff erent types of financial institutions and how they are regulated, valuation and scenario analysis, credit risk, margin and collateral, volatility, and much more. You?ll find new coverage of timely subjects, such as central clearing, scenario analysis, enterprise risk management, and the latest regulatory issues and gain access to a supplementary website with additional software and helpful learning aids. try." JOURNAL OF MOLECULAR GRAPHICS AND MODELLING "One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)." JOURNAL OF THE AMERICAN CHEMICAL SOCIETY find indispensable. ny ways to invest in residential income property Considerations for foreclosures, REOs, and probate sales What you need to know about property inspections and closings Advice on setting rental policies and finding trustworthy tenants The lowdown on recordkeeping, accounting, and taxes Ways to increase a property?s return Ten insider?s steps to real estate investing success , over 255 papers; and given more than 160 conference presentations. aluation. Olofsson is the author of Probability, Statistics, and Stochastic Processes, Second Edition, also published by Wiley. ned to be used every day in the fast–paced veterinary setting Includes dosages for a wide range of species, including dogs, cats, exotic animals, and farm animals Provides a must–have reference for veterinarians and veterinary students se pathways can be individually assessed and compared to one another. The book describes both the strengths and limitations of the current molecular and atomistic modelling toolkit so that the professional interested in using these techniques can determine whether or not a given tool is appropriate for simulating the corrosion phenomenon at hand. The book also can serve as a reference for researchers seeking to build new research programs that will extend the current molecular modelling toolkit into exciting new directions. Molecular Modeling of Corrosion Processes features: Recent examples of applications of molecular modeling to corrosion phenomena throughout the text An introduction to mechanisms and models in corrosion science and engineering Methods such as kinetic Monte Carlo simulation, thermodynamic analysis, simulation of adsorption phenomena, statistical mechanics, and conventional transition state theory Presents current challenges and likely developments in this field for the future Various recent examples of applications of molecular modeling to corrosion phenomena are provided throughout the text. Some of these applications include the molecular dynamics of interfaces, dissolution mechanisms and dealloying, interrogating surface chemistry, properties of passive films, localized corrosion, the metal/metal oxide interface, hydrogen embrittlement, stress corrosion cracking, the modeling of corrosion inhibitors, and computational materials discovery. Christopher Taylor Ph.D. is a Senior Researcher in the Research and Innovation Group at DNV GL, and an Associate Research Professor in the Fontana Corrosion Center of The Ohio Stat
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
