Econometric Modeling Of Japan And Asia-Pacific Economies, Kinoshita Soshichi
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521139813 ISBN-13(EAN): 9780521139816 Издательство: Cambridge Academ Рейтинг: Цена: 11722.00 р. Наличие на складе: Ожидается поступление.
Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.
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.
Описание: Econometric Model Specification reviews and extends the studies on consistent model specification testing and semi-nonparametric modeling and inference.
Автор: Baltagi, Badi H. Название: Companion to econometric analysis of panel data ISBN: 0470744030 ISBN-13(EAN): 9780470744031 Издательство: Wiley Рейтинг: Цена: 6645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: `Econometric Analysis of Panel Data` has become established as the leading textbook for postgraduate courses in panel data - this book is intended as a companion to the main text.
Автор: Ron C. Mittelhammer Название: Econometric Foundations ISBN: 0521623944 ISBN-13(EAN): 9780521623940 Издательство: Cambridge Academ Рейтинг: Цена: 9346.00 р. Наличие на складе: Поставка под заказ.
Описание: This integrated textbook and CD-ROM develop step by step a modern approach to econometric problems. Aimed at upper-level undergraduates, graduate students, and professionals, they describe the principles and procedures for processing and recovering information from samples of economic data. In the real world such data are usually limited or incomplete, and the parameters sought are unobserved and not subject to direct observation or measurement. The text provides a complete working knowledge of a rich set of estimation and inference tools for mastery of such data, including traditional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjunction with the computer to address economic problems. The CD-ROM contains reviews of probability theory and principles of classical estimation and inference in text-searchable electronic documents, a review ofhandling ill-posed inverse problems, an interactive Matrix Review Manual with Gauss software, an electronic Examples Manual, and solutions to the questions and problems in the text. An electronic tutorial is available separately.
Автор: Winkelmann, Rainer Название: Econometric analysis of count data ISBN: 3540776486 ISBN-13(EAN): 9783540776482 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling.
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521196604 ISBN-13(EAN): 9780521196604 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.
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