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JMP Software: Reliability Analysis

Classroom duration: 1.0 day
Live Web duration: 2 half-day sessions
Please note the System Requirements below.
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 instructor-based course is for anyone who needs to analyze data about how long an object (reliability) or person (survival) operates within acceptable parameters. The course is presented using manufacturing examples, but those interested in survival analysis will also find the course useful.

Learn how to

Who should attend

Engineers, scientists, and analysts who perform reliability or survival studies

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Prerequisites
Before attending this course, it is recommended you complete the JMP Software: Statistical Data Exploration course or have equivalent experience.
Course Contents
Introduction to Reliability Analysis
  • understanding statistical concepts such as population, sample, distribution, and parameter
  • understanding probability concepts such as probability distribution, probability density function, and cumulative density function
  • understanding reliability concepts, including unreliability, reliability, hazard rate, and censorship
  • computing and plotting reliability functions using a normal distribution
Nonparametric Reliability Analysis
  • learning common distributions used for reliability analysis
  • using the Kaplan-Meier method to estimate reliability
  • testing for differences in reliability between groups graphically and statistically
Parametric Reliability Analysis
  • using parametric methods to estimate reliability
  • identifying factors important to reliability
  • understanding parametric models
  • using proportional hazards methods to estimate reliability
  • interpreting risk ratios
Software
This course addresses JMP.
Course Materials
Classroom: Students attend classroom courses in one of our public training centers. You receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Live Web: Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials. Students need to download and print the course materials prior to class.
System Requirements
For Live Web, you must
  • review and follow the general system requirements.
  • complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
  • run this test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
    • JMP Version 7, Microsoft Word, Microsoft Excel, ODBC Driver for Microsoft Excel (Setup Instructions)
      Tip: To ensure that your ODBC Driver for Microsoft Excel is installed and set up properly:
      1. Open JMP.
      2. From the JMP Starter window, click Open Data Table.
      3. Select the Files of type drop down list.
      4. Scroll through the file types until you see Excel Files (.xls).
        If Excel Files (.xls) is included in this list, then your machine is set up to use the ODBC driver for Excel.
        If Excel Files (.xls) is not listed, contact your system administrator for support.
Share Your Thoughts
Not sure if this course suits your needs or which delivery method is right for you? Give us a call at 800-333-7660 or send us e-mail. If you have suggestions for this course or would like for it to be offered at another training facility, let us know by adding to our Interest List.

Not currently scheduled. Available for on-site training or can be scheduled at any SAS training facility if demand warrants.


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