A control chart for time truncated life tests using exponentiated half logistic distribution
dc.contributor.author | Rao, Gadde Srinivasa | |
dc.date.accessioned | 2020-11-25T08:30:51Z | |
dc.date.available | 2020-11-25T08:30:51Z | |
dc.date.issued | 2017 | |
dc.description | Abstract. Full text article available at http://dx.doi.org/10.18576/amis/120111 | en_US |
dc.description.abstract | In this article, an exponentiated half logistic distribution considered to develop an attribute control chart for time truncated life tests with known or unknown shape parameter. The performance of the proposed chart is evaluated in terms of average run length (ARL) using the Monte Carlo simulation. The extensive tables are provided for the industrial use for various values of shape parameter, sample size, specified ARL and shift constants. The advantages of the proposed control chart are discussed over the existing truncated life test control charts. The performance of the proposed control chart is also studied using the simulated data sets for industrial purpose. | en_US |
dc.identifier.citation | Rao, S. (2018). A control chart for time truncated life tests using exponentiated half logistic distribution. Applied Mathematics & Information Sciences, 12(1), 125-131. | en_US |
dc.identifier.other | DOI:10.18576/amis/120111 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12661/2623 | |
dc.language.iso | en | en_US |
dc.publisher | Natural Sciences Publishing Cor. | en_US |
dc.subject | Exponentiated half logistic distribution | en_US |
dc.subject | Attribute control chart | en_US |
dc.subject | Truncated life test | en_US |
dc.subject | Average run length | en_US |
dc.subject | Simulation | en_US |
dc.subject | Statistical process control | en_US |
dc.subject | SPC | en_US |
dc.subject | Control chart | en_US |
dc.subject | Distribution | en_US |
dc.subject | Logistic distribution | en_US |
dc.title | A control chart for time truncated life tests using exponentiated half logistic distribution | en_US |
dc.type | Article | en_US |