Sign In | Not yet a member? | Submit your article
 
Home   Technical   Study   Novel   Nonfiction   Health   Tutorial   Entertainment   Business   Magazine   Arts & Design   Audiobooks & Video Training   Cultures & Languages   Family & Home   Law & Politics   Lyrics & Music   Software Related   eBook Torrents   Uncategorized  
Letters: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Introduction to Time Series Analysis and Forecasting
Introduction to Time Series Analysis and Forecasting
Date: 14 April 2011, 03:21

Free Download Now     Free register and download UseNet downloader, then you can FREE Download from UseNet.

    Download without Limit " Introduction to Time Series Analysis and Forecasting " from UseNet for FREE!
An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data.
Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences. As a result, there is a widespread need for large groups of people in a variety of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice by equipping readers with the tools needed to analyze time-oriented data and construct useful, short- to medium-term, statistically based forecasts.
Seven easy-to-follow chapters provide intuitive explanations and in-depth coverage of key forecasting topics, including:
Regression-based methods, heuristic smoothing methods, and general time series models
Basic statistical tools used in analyzing time series data
Metrics for evaluating forecast errors and methods for evaluating and tracking forecasting performance over time
Cross-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and weighted and generalized least squares
Exponential smoothing techniques for time series with polynomial components and seasonal data
Forecasting and prediction interval construction with a discussion on transfer function models as well as intervention modeling and analysis
Multivariate time series problems, ARCH and GARCH models, and combinations of forecasts
The ARIMA model approach with a discussion on how to identify and fit these models for non-seasonal and seasonal time series
The intricate role of computer software in successful time series analysis is acknowledged with the use of Minitab®, JMP®, and SAS® software applications, which illustrate how the methods are imple-mented in practice. An extensive FTP site is available for readers to obtain data sets, Microsoft Office PowerPoint® slides, and selected answers to problems in the book. Requiring only a basic working knowledge of statistics and complete with exercises at the end of each chapter as well as examples from a wide array of fields, Introduction to Time Series Analysis and Forecasting is an ideal text for forecasting and time series courses at the advanced undergraduate and beginning graduate levels. The book also serves as an indispensable reference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences.

DISCLAIMER:

This site does not store Introduction to Time Series Analysis and Forecasting on its server. We only index and link to Introduction to Time Series Analysis and Forecasting provided by other sites. Please contact the content providers to delete Introduction to Time Series Analysis and Forecasting if any and email us, we'll remove relevant links or contents immediately.



Comments

Comments (0) All

Verify: Verify

    Sign In   Not yet a member?


Popular searches