ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

A Practitioner's Guide to Analyzing Reliability Experiments with Random Blocks and Subsampling

13 September 2016, 11:40 – 12:10


Submitted by
Jennifer Kensler
Jennifer Kensler (Shell Global Solutions), Laura J. Freeman (Institute for Defense Analyses), G. Geoffrey Vining (Virginia Tech)
Reliability experiments provide important information regarding the life of a product, including how various factors affect product life. Current analyses of reliability data usually assume a completely randomized design. However, reliability experiments frequently contain subsampling, which represents a restriction on randomization. A typical experiment involves applying treatments to test stands, with several items placed on each test stand. In addition, raw materials used in experiments are often produced in batches, leading to a design involving blocks. This presentation proposes a method using Weibull regression for analyzing reliability experiments with random blocks and subsampling. An illustration of the method is provided.
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