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Probability and Statistics for Economists, Hansen, Bruce


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Цена: 7920.00р.
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Автор: Hansen, Bruce   (Брюс Хансен)
Название:  Probability and Statistics for Economists
Перевод названия: Брюс Хансен: Вероятность и статистика для экономистов
ISBN: 9780691235943
Издательство: Wiley
Классификация:



ISBN-10: 0691235945
Обложка/Формат: Hardback
Страницы: 416
Вес: 0.87 кг.
Дата издания: 18.10.2022
Язык: English
Иллюстрации: 111 b/w illus. 6 tables.; 111 b/w illus. 6 tables.
Размер: 209 x 262 x 29
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This textbook is aimed at those with an interest in contemporary social problems of the UK, such as crime, substance misuse and suicide. The book provides factual information and a socio-demographic analysis of each social problem, their causes and effects, policy and legislation together with strategies for micro intervention.


Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Stochastic Volatility Modeling

Автор: Bergomi
Название: Stochastic Volatility Modeling
ISBN: 1482244063 ISBN-13(EAN): 9781482244069
Издательство: Taylor&Francis
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Цена: 13473.00 р.
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Описание:

Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:

  • Which trading issues do we tackle with stochastic volatility?
  • How do we design models and assess their relevance?
  • How do we tell which models are usable and when does calibration make sense?

This manual covers the practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course of this exploration, the author, Risk's 2009 Quant of the Year and a leading contributor to volatility modeling, draws on his experience as head quant in Soci t G n rale's equity derivatives division. Clear and straightforward, the book takes readers through various modeling challenges, all originating in actual trading/hedging issues, with a focus on the practical consequences of modeling choices.

Fundamentals of Nonparametric Bayesian Inference

Автор: Ghosal, Subhashis.
Название: Fundamentals of Nonparametric Bayesian Inference
ISBN: 0521878268 ISBN-13(EAN): 9780521878265
Издательство: Cambridge Academ
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Цена: 12989.00 р.
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Описание: Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics. Appendices with prerequisites and numerous exercises support its use for graduate courses.

Income Distribution Dynamics of Economic Systems: An Econophysical Approach

Автор: Marcelo Byrro Ribeiro
Название: Income Distribution Dynamics of Economic Systems: An Econophysical Approach
ISBN: 1107092531 ISBN-13(EAN): 9781107092532
Издательство: Cambridge Academ
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Цена: 11563.00 р.
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Описание: Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income distributive dynamics of economic systems. It will be of interest to physicists interested in economic problems, economists who deal with inequality issues, statisticians and applied mathematicians.

Statistical Survey Design and Evaluating Impact

Автор: Roy
Название: Statistical Survey Design and Evaluating Impact
ISBN: 1107146453 ISBN-13(EAN): 9781107146457
Издательство: Cambridge Academ
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Цена: 9186.00 р.
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Описание: Sample surveys are a popular and viable alternative to official statistics and censuses. This book discusses some important methodologies for developing statistical designs, sample surveys and evaluation designs. Solved examples are included to illustrate each technique covered.

Probability And Statistics For Economists

Автор: Hong Yongmiao
Название: Probability And Statistics For Economists
ISBN: 9813228814 ISBN-13(EAN): 9789813228818
Издательство: World Scientific Publishing
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Цена: 16474.00 р.
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Описание:

Probability and Statistics have been widely used in various fields of science, including economics. Like advanced calculus and linear algebra, probability and statistics are indispensable mathematical tools in economics. Statistical inference in economics, namely econometric analysis, plays a crucial methodological role in modern economics, particularly in empirical studies in economics.

This textbook covers probability theory and statistical theory in a coherent framework that will be useful in graduate studies in economics, statistics and related fields. As a most important feature, this textbook emphasizes intuition, explanations and applications of probability and statistics from an economic perspective.

Fat chance :

Автор: Gross, Benedict H.,
Название: Fat chance :
ISBN: 1108728189 ISBN-13(EAN): 9781108728188
Издательство: Cambridge Academ
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Цена: 3802.00 р.
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Описание: Designed for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.

The Skew-Normal and Related Families

Автор: Azzalini Adelchi
Название: The Skew-Normal and Related Families
ISBN: 1108461131 ISBN-13(EAN): 9781108461139
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Blending theory and practice, this will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability and statistical inference, it is accessible to the wide range of researchers who use statistical modelling techniques. The author`s complementary R package helps readers put theory into practice.

Regression and Other Stories

Автор: Andrew Gelman, Jennifer Hill, Aki Vehtari
Название: Regression and Other Stories
ISBN: 1107676517 ISBN-13(EAN): 9781107676510
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: Real statistical problems are complex and subtle. This text is about using regression to solve real problems of comparison, estimation, prediction, and causal inference, based on real stories from the authors` experience. It offers practical advice for understanding assumptions and implementing methods through graphics and computing in R and Stan.

The Analysis of Time Series: An Introduction with R

Автор: Chris Chatfield, Haipeng Xing
Название: The Analysis of Time Series: An Introduction with R
ISBN: 1138066133 ISBN-13(EAN): 9781138066137
Издательство: Taylor&Francis
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Цена: 26796.00 р.
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Описание: This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis.

Pathwise Estimation and Inference for  Diffusion Market Models

Автор: Dokuchaev
Название: Pathwise Estimation and Inference for Diffusion Market Models
ISBN: 1138591645 ISBN-13(EAN): 9781138591646
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: This book discusses contemporary techniques for inferring, from options and bond prices, the market participants` aggregate view on important financial parameters such as implied volatility, discount rate, and future interest rate, and their uncertainty thereof.

Bayesian Statistical Methods

Автор: Brian J. Reich, Sujit K. Ghosh
Название: Bayesian Statistical Methods
ISBN: 0815378645 ISBN-13(EAN): 9780815378648
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Designed to provide a good balance of theory and computational methods that will appeal to students and practitioners with minimal mathematical and statistical background and no experience in Bayesian statistics to students and practitioners looking for advanced methodologies.


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