Free PDF Introduction to Time Series and Forecasting (Springer Texts in Statistics)

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Introduction to Time Series and Forecasting (Springer Texts in Statistics)

Free PDF Introduction to Time Series and Forecasting (Springer Texts in Statistics)

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Review

“This is a very well-written textbook aimed at a wide audience of readers interested in time series methodologies and their applications to various fields.” (Wilfredo Palma, Mathematical Reviews September, 2017)

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From the Back Cover

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, Lévy processes and Itô 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:

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Product details

Series: Springer Texts in Statistics

Hardcover: 425 pages

Publisher: Springer; 3rd ed. 2016 edition (August 20, 2016)

Language: English

ISBN-10: 9783319298528

ISBN-13: 978-3319298528

ASIN: 3319298526

Product Dimensions:

8.2 x 1 x 11 inches

Shipping Weight: 3 pounds (View shipping rates and policies)

Average Customer Review:

3.5 out of 5 stars

2 customer reviews

Amazon Best Sellers Rank:

#527,543 in Books (See Top 100 in Books)

A 2016 version brand new and fancy statistics book dose not necessarily better than a 1997 one. With "introduction" in the title, the book is hard to understand even for someone with general knowledge of statistics. Formulas are never too difficult, but author makes it really hard to follow with minimum guide. Examples are quite limited. I give two star for the paper quality.With piles of statistics books stacked on shelf, I purchased this one to get some further understanding in forecasting techniques, and found myself totally lost. It might be a useful as text book if you can fully rely on your teacher. But definitely not a good choice for self study.By the way, for those who want to get some "introduction" to the forecasting and time series models, try Forecasting Methods and Applications by Makridakis. Although 20 years old it is still much better as a newbie guide.

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