DOUGLAS C.MONTGOMERY – FORECASTING AND TIME SERIES ANALYSIS

The book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics.

The underlying theories of time series analysis that are needed to analyze time–oriented data and construct real–world short– to medium–term statistical forecasts are presented in the second edition.

The Second Edition features discussions on both popular and modern time series methodologies as well as an introduction to Bayesian methods in forecasting. The introduction to time series analysis and forecasting is included in the second edition.

Health care, environmental studies, engineering, and finance are some of the disciplines that have over 300 exercises.

More than 50 programs using JMP, SAS, and R show the theory and practicality of forecasting techniques in the context of time–oriented data.

There is new material on spatial temporal data analysis.

The variogram and spectrum have been expanded with applications as well as transfer and intervention model functions.

A website featuring slides, data sets, and solutions to problems.

The second edition of the introduction to time series analysis and forecasting is an ideal textbook for upper–undergraduate and graduate level courses. The book is an excellent reference for practitioners and researchers who need to model and analyze time series data.

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