Электронный каталог

31
F 23 us
Fan, Jianqing.
    Nonlinear time series: Nonparametric and Parametric Methods [Электронный ресурс] / Jianqing Fan, Qiwei Yao. - New York : Springer, 2003. - 571 p. - ISBN 0-387-95170-9 : Б. ц.

УДК

31

Кл.слова (ненормированные):
Statistical methods -- Theory of nonlinear time series
Аннотация: This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.
Доп.точки доступа:
Yao, Qiwei

Свободных экз. нет

31
G 17 us
Gao, Jiti.
    Nonlinear time series, semiparametric and nonparametric methods [Электронный ресурс] / Jiti Gao. - [S. l.] : Chapman & Hall/CRC, 2007. - 237 p. - (Monographs on Statistics and Applied Probability). - Б. ц.

УДК

31

Кл.слова (ненормированные):
Statistical methods -- Theory of nonlinear time series
Аннотация: Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, "Nonlinear Time Series: Semiparametric and Nonparametric Methods" focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data.After a brief introduction, this book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though this book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines. This resource covers key methods in time series analysis and provides the necessary theoretical details. The latest applied finance and financial econometrics results and applications presented in this book enable researchers and graduate students to keep abreast of developments in the field.
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31
R 12 us
Racine, J. S.
    Nonparametric Econometrics: A Primer [Электронный ресурс] / J. S. Racine. - Boston : NOW, 2008. - ISBN 978-1-60198-110-3 : Б. ц.

УДК

31

Кл.слова (ненормированные):
Statistical methods -- Nonparametric Econometrics
Аннотация: Nonparametric Econometrics is a primer for those who wish to familiarize themselves with nonparametric econometrics. While the underlying theory for many of these methods can be daunting for practitioners, this monograph presents a range of nonparametric methods that can be deployed in a fairly straightforward manner. Nonparametric methods are statistical techniques that do not require a researcher to specify functional forms for objects being estimated. The methods surveyed are known as kernel methods, which are becoming increasingly popular for applied data analysis. The appeal of nonparametric methods stems from the fact that they relax the parametric assumptions imposed on the data generating process and let the data determine an appropriate model. Nonparametric Econometrics focuses on a set of touchstone topics while making liberal use of examples for illustrative purposes. The author provides settings in which the user may wish to model a dataset comprised of continuous, discrete, or categorical data (nominal or ordinal), or any combination thereof. Recent developments are considered, including some where the variables involved may in fact be irrelevant, which alters the behavior of the estimators and optimal bandwidths in a manner that deviates substantially from conventional approaches.
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Greene, William H.
    Econometric analysis [Текст] / William H. Greene, 4-th ed. - New Jersey : Prentice-Hall, 2000. - 1004 p. - ISBN 0-13-013297-7 : Б. ц.

Кл.слова (ненормированные):
Econometric analysis -- Physics -- Statistical methods -- System on Chip
Аннотация: This book has two objectives. The first is to introduce students to applied econometrics, including basic techniques in regression analysis and some of the rich variety of models thar are used when the linear model proves inadequate or inappropriate. The second is to present students with sufficient theoretical background that they will recognize new variants of the models learned about here as merely natural extensions that fit within a common body of principles.
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David, Rayner.
    Complete Mathematics for Cambridge IGCSE [Текст] : core / Rayner David, Fourth Edition. - United Kingdom : Oxford, 2016. - 408 p. - ISBN 978-0-19-837837-2 : Б. ц.

Кл.слова (ненормированные):
Algebraic -- Complete Mathematics for Cambridge -- Economic -- Geometry -- Statistical methods
Аннотация: Complete Mathematics for Cambridge IGCSE: Core directly mathes the latest Cambridge IGCSE Mathematics syllabus, with worked examples and plenty of practice exercises to develop thorouh understanding of key concepts. A stretching, skills-based approach progressively strenghens srudent ability, enabling confident exam performance.
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Alex, Rosenberg.
    Philosophy of science [Текст] : a Contemprorary Introduction / Paul K. Moser, Loyola University of Chicago. - New York and London : Routledge Tayylor& Francis Group, 2012. - 308 p. - 293p. - ISBN 978-0-415-89176-9 : 8130-00t.тг.

Кл.слова (ненормированные):
History -- Methodical -- Philosophy of science -- Statistical methods
Аннотация: This innovative, well-structured series is for students who have already done an introductory course in philosophy. Each book introduces a core general subject in contemprorary philosophy and offers students an accesible but substantial transition from introductory to higher-level college work in that subject. The series is accessible to non-specialists and eash book clearly motivates and expounds the problems and positions introduced. An orientating chapter briefly introduces its topic and reminds readers of any crucial material they need to have retained from a typical introductory course. Considerable attention is given to explaining the central philosophical problems of a subject and the main competing solutions and arguments for those solutions. Te primary aim is to educate students in the main problems, positions and arguments of contemprorary philosophy rather than to convince students of a single position.
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811.1
J76
Jon, Curwin and Roger Slater.
    Quantitative Methods for Business Decisions [Текст] : Textbook / Curwin and Roger Slater Jon, 6th edition. - China : Thomson, 2008. - 790 p. - ISBN 978-1844805747 : 16263-00t.тг.

УДК

811.1

Кл.слова (ненормированные):
Economics -- Mathematics -- Quantitative Methods for Business Decisions -- Statistical methods
Аннотация: Now in its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum. Using a rigorous exercise- based approach this title provideos in-depth guidance on how to apply the most widely-used statistical metods in business. The wide-ranging coverage provided makes tis the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels.
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