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

Abstract

Submitted by
Jennifer Kensler
Authors
Jennifer Kensler (Shell Global Solutions), Laura J. Freeman (Institute for Defense Analyses), G. Geoffrey Vining (Virginia Tech)
Abstract
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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