Автор: Aris Spanos Название: Probability Theory and Statistical Inference: Empirical Modeling with Observational Data ISBN: 1316636372 ISBN-13(EAN): 9781316636374 Издательство: Cambridge Academ Цена: 8554.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: Doubt over the trustworthiness of published empirical results is often a result of statistical mis-specification or invalid probabilistic assumptions. This course in empirical research methods enables the specification and validation of statistical models, facilitating their informed implementation and giving rise to trustworthy evidence.
Старое издание
Автор: Anatolyev, Stanislav Gospodinov, Nikolay Название: Methods for estimation and inference in modern econometrics ISBN: 1439838240 ISBN-13(EAN): 9781439838242 Издательство: Taylor&Francis Рейтинг: Цена: 15312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book.
Topics covered include:
Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference
Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models
Non-conventional asymptotic tools that lead to improved finite sample inference, such as higher-order asymptotic analysis that allows for more accurate approximations via various asymptotic expansions, and asymptotic approximations based on drifting parameter sequences
Offering a unified approach to studying econometric problems, Methods for Estimation and Inference in Modern Econometrics links most of the existing estimation and inference methods in a general framework to help readers synthesize all aspects of modern econometric theory. Various theoretical exercises and suggested solutions are included to facilitate understanding.
Автор: Arnold Zellner, Hugo A. Keuzenkamp, Michael McAleer Название: Simplicity, Inference and Modelling ISBN: 0521121353 ISBN-13(EAN): 9780521121354 Издательство: Cambridge Academ Рейтинг: Цена: 6653.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham`s Razor, `entia non sunt multiplicanda praeter necessitatem`: entities are not to be multiplied beyond necessity. Using a multidisciplinary perspective this 2002 monograph asks `What is meant by simplicity?`
Автор: Jean-Pierre Florens Название: Econometric Modeling and Inference ISBN: 052170006X ISBN-13(EAN): 9780521700061 Издательство: Cambridge Academ Рейтинг: Цена: 6493.00 р. Наличие на складе: Поставка под заказ.
Описание: For over 20 years, James Herriot has captivated millions of readers and viewers with his tales of the triumphs, disasters, pride and heartache that filled his life as a vet in the Yorkshire Dales. Once again the storytelling magic shines through in this long-awaited addition to the series. A major lead title backed by advertising in four major daily newspapers and colour ads in Radio Times and selected magazines. BA CATALOGUE.
Автор: Thijssen Jacco Название: Concise Introduction to Statistical Inference ISBN: 1498755771 ISBN-13(EAN): 9781498755771 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses.
The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers.
Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.
Автор: Mariano, Roberto S. Название: Simulation-based Inference in Econometrics ISBN: 052108802X ISBN-13(EAN): 9780521088022 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. This substantial international volume provides an overview of the applications and techniques at the cutting edge of the subject as well as providing a comprehensive survey of the existing literature.
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