Librería Portfolio Librería Portfolio

Búsqueda avanzada

TIENE EN SU CESTA DE LA COMPRA

0 productos

en total 0,00 €

INTRODUCTION TO TIME SERIES AND FORECASTING 3E
Título:
INTRODUCTION TO TIME SERIES AND FORECASTING 3E
Subtítulo:
Autor:
BROCKWELL, P
Editorial:
SPRINGER VERLAG
Año de edición:
2016
Materia
ESTADISTICA
ISBN:
978-3-319-29852-8
Páginas:
425
88,35 €

 

Sinopsis

Designed for use in full-year courses introducing univariate and multivariate time series and forecasting at the advanced undergraduate and graduate levels
Exercise problems at the end of each chapter reinforce the methods through use of the programs to study provided data sets
Appendix teaches ITSM2000 Professional package (available as a free download); all material is easily applied to R packages and other programs



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 Series
Introductions to Brownian motion, Lévy processes and Itô calculus
An expanded section on continuous-time ARMA processes