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Time Series Models for Business and Economic Forecasting, Franses



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Цена: 4162р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 483 шт.  Склад Америка: 61 шт.  
При оформлении заказа до: 10 апр 2020
Ориентировочная дата поставки: середина Мая

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Автор: Franses
Название:  Time Series Models for Business and Economic Forecasting   (Франс Филип Ханс: Модели временных последовательностей для бизнеса и экономического предсказания)
Издательство: Cambridge Academ
Классификация:
Эконометрика
Экономический прогноз

ISBN: 0521520916
ISBN-13(EAN): 9780521520911
ISBN: 0-521-52091-6
ISBN-13(EAN): 978-0-521-52091-1
Обложка/Формат: Paperback
Страницы: 311
Вес: 0.694 кг.
Дата издания: 24.04.2014
Серия: Economics/Business/Finance
Язык: ENG
Издание: 2 revised edition
Иллюстрации: Worked examples or exercises; 17 tables, black and white; 81 line drawings, unspecified
Размер: 24.38 x 18.80 x 1.78 cm
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Econometrics,Economic statistics,Economic forecasting, BUSINESS & ECONOMICS / Econometrics
Основная тема: Economics, business studies
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.
Дополнительное описание:




      Старое издание

Strategic Business Forecasting

Название: Strategic Business Forecasting
ISBN: 1574442511 ISBN-13(EAN): 9781574442519
Издательство: Taylor&Francis
Рейтинг:
Цена: 9822 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A book on practical business forecasting belongs in the library of everyone interested in business. Forecasting is extremely important to finance and accounting executives, business economists and managers at all levels.Strategic Business Forecasting: The Complete Guide to Forecasting Real World Company Performance provides you with a working knowledge of the fundamentals of business forecasting that can be applied in the real world regardless of the size of the firm. The author explains the basic forecasting methodology and the practical applications. All aspects of business are discussed, making this a comprehensive and valuable reference.The author avoids theoretical and mathematical discussions to gets right into how, when , and why to use this book. Many practical examples, applications, illustrations, guidelines, measures, checklists, rules of thumb, tips, graphs, diagrams and tables aid your comprehension of the subject. The author displays and explains printouts obtained using many popular spreadsheet programs and software packages.T he book goes far beyond just sales forecasting, encompassing a wide range of topics of major importance to practical business managers and fin

Time Series Models for Business and Economic Forecasting

Автор: Franses
Название: Time Series Models for Business and Economic Forecasting
ISBN: 0521817706 ISBN-13(EAN): 9780521817707
Издательство: Cambridge Academ
Рейтинг:
Цена: 9991 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.

Forecasting, structural time series models and the kalman filter

Автор: Harvey, Andrew C.
Название: Forecasting, structural time series models and the kalman filter
ISBN: 0521405734 ISBN-13(EAN): 9780521405737
Издательство: Cambridge Academ
Рейтинг:
Цена: 4995 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose.

Forecasting non-stationary economic time series

Автор: Clements, Michael Hendry, David F.
Название: Forecasting non-stationary economic time series
ISBN: 0262531895 ISBN-13(EAN): 9780262531894
Издательство: Wiley
Рейтинг:
Цена: 730 р.
Наличие на складе: Поставка под заказ.

Описание: This text on economic forecasting asks why some practices seem to work empirically despite a lack of formal support from theory. After reviewing the conventional approach to forecasting, it looks at the implications for causal modelling, presents forecast errors and delineates sources of failure.

Forecasting economic time series

Автор: Clements, Michael Hendry, David F.
Название: Forecasting economic time series
ISBN: 0521634806 ISBN-13(EAN): 9780521634809
Издательство: Cambridge Academ
Рейтинг:
Цена: 3954 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An extended formal analysis of economic forecasting co-authored by one of the world s leading econometricians.

Economic and Business Forecasting

Автор: Silvia John
Название: Economic and Business Forecasting
ISBN: 1118497090 ISBN-13(EAN): 9781118497098
Издательство: Wiley
Рейтинг:
Цена: 6009 р.
Наличие на складе: Поставка под заказ.

Описание: Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, this title offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables.

Forecasting, structural time series models, and the kalman filter

Автор: Harvey, A.c.
Название: Forecasting, structural time series models, and the kalman filter
ISBN: 0521321964 ISBN-13(EAN): 9780521321969
Издательство: Cambridge Academ
Рейтинг:
Цена: 10720 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series poses, this book provides a synthesis of concepts and materials which ordinarily appear separately in time series and econometrics literature.

The Oxford Handbook of Economic Forecasting

Автор: Clements, Michael P.; Hendry, David F.
Название: The Oxford Handbook of Economic Forecasting
ISBN: 0195398645 ISBN-13(EAN): 9780195398649
Издательство: Oxford Academ
Рейтинг:
Цена: 13270 р.
Наличие на складе: Невозможна поставка.

Описание: This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and are authoritative yet accessible.

Handbook of Economic Forecasting SET 2A-2B,2A & 2B

Автор: Graham Elliott
Название: Handbook of Economic Forecasting SET 2A-2B,2A & 2B
ISBN: 0444627324 ISBN-13(EAN): 9780444627322
Издательство: Elsevier Science
Цена: 18228 р.
Наличие на складе: Невозможна поставка.

Measuring Business Cycles in Economic Time Series

Автор: Kaiser Regina, Maravall Agustin
Название: Measuring Business Cycles in Economic Time Series
ISBN: 0387951121 ISBN-13(EAN): 9780387951126
Издательство: Springer
Рейтинг:
Цена: 9349 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The purpose of the manuscript is to outline and demonstrate problems with the use of the HP filter, and to propose an alternative strategy for inferring cyclical behavior from a time series that features seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series in question with forecasts and backcasts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented in the paper using artificial and actual data demonstrate the superiority of the alternative strategy.

Introduction to Time Series and Forecasting

Автор: Brockwell Peter J.
Название: Introduction to Time Series and Forecasting
ISBN: 3319298526 ISBN-13(EAN): 9783319298528
Издательство: Springer
Рейтинг:
Цена: 6544 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details.

The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Many additional special topics are also covered.
New to this edition:
A chapter devoted to Financial Time SeriesIntroductions to Brownian motion, L?vy processes and It? calculusAn expanded section on continuous-time ARMA processesPeter J. Brockwell and Richard A. Davis are Fellows of the American Statistical Association and the Institute of Mathematical Statistics and elected members of the International Statistics Institute. Richard A. Davis is the current President of the Institute of Mathematical Statistics and, with W.T.M. Dunsmuir, winner of the Koopmans Prize. Professors Brockwell and Davis are coauthors of the widely used advanced text, Time Series: Theory and Methods, Second Edition (Springer-Verlag, 1991).
From reviews of the first edition:<
This book, like a good science fiction novel, is hard to put down.… Fascinating examples hold one’s attention and are taken from an astonishing variety of topics and fields.… Given that time series forecasting is really a simple idea, it is amazing how much beautiful mathematics this book encompasses. Each chapter is richly filled with examples that serve to illustrate and reinforce the basic concepts. The exercises at the end of each chapter are well designed and make good use of numerical problems. Combined with the ITSM package, this book is ideal as a textbook for the self-study student or the introductory course student. Overall then, as a text for a university-level course or as a learning aid for an industrial forecaster, I highly recommend the book. —SIAM Review
In addition to including ITSM, the book details all of the algorithms used in the package—a quality which sets this text apart from all others at this level. This is an excellent idea for at least two reasons. It gives the practitioner the opportunity to use ITSM more intelligently by providing an extra source of intuition for understanding estimation and forecasting, and it allows the more adventurous practitioners to code their own algorithms for their individual purposes.… Overall I find Introduction to Time Series and Forecasting to be a very useful and enlightening introduction to time series. —Journal of the American Statistical Association
The emphasis is on hands-on experience and the friendly software that accompanies the book serves the purpose admirably.… The authors should be congratulated for making the subject accessible and fun to learn. The book is a pleasure to read and highly recommended. I regard it as the best introductory text in town
Applied Time Series Modelling and Forecasting

Автор: Richard Harris
Название: Applied Time Series Modelling and Forecasting
ISBN: 0470844434 ISBN-13(EAN): 9780470844434
Издательство: Wiley
Рейтинг:
Цена: 5328 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Incorporates developments and includes three major chapters on: time series modelling in the financial economics area, the Harvey approach to structural time series modelling and cointegration, and panel data models and non stationary time series.


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