Time Series: Analysis, Model, and Forecasting
Cheng-Few Lee,
John Lee,
Jow-Ran Chang and
Tzu Tai
Additional contact information
Cheng-Few Lee: Rutgers University, Department of Finance
John Lee: Center for PBBEF Research
Jow-Ran Chang: National Tsing Hua University, Department of Quantitative Finance
Tzu Tai: Mezocliq, LLC
Chapter Chapter 18 in Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses, 2016, pp 589-644 from Springer
Abstract:
Abstract In statistics there are two kinds of data, cross-section data and time-series data. Time-series data are those recorded over time. Cross-section data pertain to a particular time. In this chapter we will look at specific issues of time-series data.
Keywords: Time-series data; Cross-section data; Trend component; Seasonal component; Cyclical component; Irregular component; Exponential smoothing; Exponential smoothing constant; Holt–Winters forecasting model (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-38867-0_18
Ordering information: This item can be ordered from
http://www.springer.com/9783319388670
DOI: 10.1007/978-3-319-38867-0_18
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().