JMP Software: Reliability Analysis

Classroom duration: 1.0 day Live Web duration: 2 half-day sessions CEU: 0.6

This 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

fit distribution models specific to reliability and survival data
compute Kaplan-Meier product-limit survival and risk (hazard)
compare reliability or survival across groups
estimate survival in the presence of competing causes
use parametric survival models to estimate effects of covariates or experimental factors
use proportional hazard models to estimate effects of covariates or experimental factors

Who should attend

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

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 Addressed

This course addresses the following software product(s): JMP.

Classroom 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.

Live Web Course Materials

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, including the exercise files. 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.
Registration
To register for this course in the US, call 800-333-7660 or visit support.sas.com/training. This course is also available for on-site training, or you can create a custom course by combining material from several courses. For more details, contact SAS Education in Cary, NC at 919-531-7321 or send e-mail to training@sas.com.