Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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In this paper, we first present a characterization of exponential distribution based on the extropy of record values and next introduce a goodness-of-fit test for exponentiality. Monte Carlo simulation is used to compute the critical values of our proposed test for different sample sizes and significance levels. To show the advantage of the proposed test, we adopt 58 competitor tests and compute the adjusted power against different alternatives with distinct types of hazard function. The power results show that our proposed test has superior adjusted power if the alternatives have increasing failure rates or bathtub decreasing-increasing failure rates, especially when the sample size is small. Finally, three real examples are used to illustrate the applicability and robustness of our proposed test by monitoring the -values of the tests.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041659 | PMC |
http://dx.doi.org/10.1080/02664763.2020.1840535 | DOI Listing |