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Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.JMP Software: Identifying and Modeling Process Cycles
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Duration: 1.0 day CEUs: 0.6 | ||
| Available for on-site training or can be scheduled at any SAS training facility if demand warrants. |
This outline is provisional and subject to change.
This course teaches you how to identify and model continuous process data. You participate in interactive demonstrations of JMP software in realistic scenarios.
Learn how to
- identify and model continuous process data
- use ARIMA, seasonal, and nonseasonal models
- identify the magnitude and periods of cycles in process data
Who should attend
Engineers, scientists, and Six Sigma practitioners
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Prerequisites
Before attending this course, you should have completed the JMP Software: ANOVA and Regression course or have equivalent experience.
Course Contents
Stationary Models
- identifying time series fundamentals
- measuring and assessing serial dependence
- presenting time series data structures
- presenting time series model-building methodology
- describing simple moving average models
- fitting autoregressive moving average (ARMA) models
- investigating non-stationary models
- producing, saving, and plotting forecasts
- using spectral analysis
- modeling cycles with sine and cosine functions
- modeling cycles with dummy variables
- fitting seasonal ARIMA models
Software
This course addresses JMP. This course covers JMP 7 software.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Not currently scheduled. Available for on-site training or can be scheduled at any SAS training facility if demand warrants.
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