Time series forecasting


Submit a six page paper (not including the title and reference pages) on one of the major topics listed below. Incorporate at least two related scholarly sources (articles, books, etc):

Topic: Time series forecasting

Sub- topics under time series forecasting:

-Long time trend
-Seasonal variation
-cyclinical variation
-random effects
-evaluating performance of forecasting techniques

The paper must (a) identify the main issues in the chosen area, (b) apply and reference new learning to the chosen area, (c) build upon class activities or incidents that facilitated learning and understanding, and (d) present specific current and/or future applications and relevance to the workplace. The emphasis of the paper should be on modeling application, outcomes, and new learning.

• Must be six double-spaced pages in length and formatted according to APA style as outlined in the approved APA style guide.

• Must include a cover page that includes:

- Title of paper
- Student's name
- Course name and number
- Instructor's name
- Date submitted

• Must include an introductory paragraph with a succinct thesis statement.

• Must address the topic of the paper with critical thought.

• Must conclude with a restatement of the thesis and a conclusion paragraph.

• Must use at least two resources.

• Must use APA style as outlined in the approved APA style guide to document all sources.

• Must include, on the final page, a Reference Page that is completed according to APA style as outlined in the approved APA style guide.

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Basic Statistics: Time series forecasting
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