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Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation
This paper provides tests of hypotheses and confidence intervals for the scale and shape parameters singly of the Birnbaum-Saunders fatigue life model, each with the other an unknown nuisance parameter. The procedure for each parameter is based on its maximum likelihood estimate, although in the cas...
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Published in: | Technometrics 1981-08, Vol.23 (3), p.251-256 |
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container_end_page | 256 |
container_issue | 3 |
container_start_page | 251 |
container_title | Technometrics |
container_volume | 23 |
creator | Engelhardt, Max Bain, Lee J. Wright, F. T. |
description | This paper provides tests of hypotheses and confidence intervals for the scale and shape parameters singly of the Birnbaum-Saunders fatigue life model, each with the other an unknown nuisance parameter. The procedure for each parameter is based on its maximum likelihood estimate, although in the case of the scale parameter it is necessary to consider conditional procedures. |
doi_str_mv | 10.2307/1267788 |
format | article |
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T.</creator><creatorcontrib>Engelhardt, Max ; Bain, Lee J. ; Wright, F. T.</creatorcontrib><description>This paper provides tests of hypotheses and confidence intervals for the scale and shape parameters singly of the Birnbaum-Saunders fatigue life model, each with the other an unknown nuisance parameter. 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T.</creatorcontrib><title>Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation</title><title>Technometrics</title><description>This paper provides tests of hypotheses and confidence intervals for the scale and shape parameters singly of the Birnbaum-Saunders fatigue life model, each with the other an unknown nuisance parameter. The procedure for each parameter is based on its maximum likelihood estimate, although in the case of the scale parameter it is necessary to consider conditional procedures.</description><subject>Asymptotic value</subject><subject>Confidence interval</subject><subject>Confidence limits</subject><subject>Fatigue life</subject><subject>Gaussian distributions</subject><subject>Inference</subject><subject>Interpolation</subject><subject>Mathematical independent variables</subject><subject>Maximum likelihood estimation</subject><subject>Maximum likelihood estimators</subject><issn>0040-1706</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1981</creationdate><recordtype>article</recordtype><recordid>eNp1kMtOwzAQRb0AiVIQv-AFEqvA2Hk4WdLSQqUikIB15Dgz1KVJkO0g-HsS2i2rke4cHV1dxi4EXMsY1I2QmVJ5fsQmAAlEQkF2wk693wKIWOZqwr5WLaHD1qDnXcvDBvmzdrrBgG5I6C-ZWddWum-iF9239fhY6mDfe-RrS8jvrA_OVn2wg2GmPdaj6lF_26ZvBuQDd3bTdTVf-GAbPWJn7Jj0zuP54U7Z23LxOn-I1k_3q_ntOjKxlCGiAkHkFWCSU62KRAiVks40CCXrNCUJ0iioDMUAVZomeUFUKY2KyIjCiHjKrvZe4zrvHVL56YYK7qcUUI4TlYeJBvJyT2596Ny_2C80wmd_</recordid><startdate>198108</startdate><enddate>198108</enddate><creator>Engelhardt, Max</creator><creator>Bain, Lee J.</creator><creator>Wright, F. T.</creator><general>The American Society for Quality Control and The American Statistical Association</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>198108</creationdate><title>Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation</title><author>Engelhardt, Max ; Bain, Lee J. ; Wright, F. T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c322t-f9e018b0e48fd7941175fa6a0172d55f202c70bcf300b55489ffb7ae7ffc19c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1981</creationdate><topic>Asymptotic value</topic><topic>Confidence interval</topic><topic>Confidence limits</topic><topic>Fatigue life</topic><topic>Gaussian distributions</topic><topic>Inference</topic><topic>Interpolation</topic><topic>Mathematical independent variables</topic><topic>Maximum likelihood estimation</topic><topic>Maximum likelihood estimators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Engelhardt, Max</creatorcontrib><creatorcontrib>Bain, Lee J.</creatorcontrib><creatorcontrib>Wright, F. T.</creatorcontrib><collection>CrossRef</collection><jtitle>Technometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Engelhardt, Max</au><au>Bain, Lee J.</au><au>Wright, F. T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation</atitle><jtitle>Technometrics</jtitle><date>1981-08</date><risdate>1981</risdate><volume>23</volume><issue>3</issue><spage>251</spage><epage>256</epage><pages>251-256</pages><issn>0040-1706</issn><abstract>This paper provides tests of hypotheses and confidence intervals for the scale and shape parameters singly of the Birnbaum-Saunders fatigue life model, each with the other an unknown nuisance parameter. The procedure for each parameter is based on its maximum likelihood estimate, although in the case of the scale parameter it is necessary to consider conditional procedures.</abstract><pub>The American Society for Quality Control and The American Statistical Association</pub><doi>10.2307/1267788</doi><tpages>6</tpages></addata></record> |
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issn | 0040-1706 |
language | eng |
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source | JSTOR Archival Journals and Primary Sources Collection |
subjects | Asymptotic value Confidence interval Confidence limits Fatigue life Gaussian distributions Inference Interpolation Mathematical independent variables Maximum likelihood estimation Maximum likelihood estimators |
title | Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation |
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