Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
D. R. Cox and D. Oakes, “The Analysis of Survival Data,” Chapman and Hall, London, 1984.
has been cited by the following article:
TITLE: On a Generalized Model in Accelerated Life Testing
AUTHORS: Eduardo L. Cruz, Adolfo M. De Guzman
KEYWORDS: Accelerated Life Test; Arrhenius Model; Inverse Problem
JOURNAL NAME: Open Journal of Statistics, Vol.2 No.2, April 23, 2012
ABSTRACT: The main objective of accelerated life tests in this setting is the recovery of the distribution of the random variable representing lifetime which is difficult to observe at a certain level of a given stress factor. A general model for accelerated life test is proposed that utilizes the inverse problem approach, that is, the variable is observe at different level/s and the transfer function is used to recover the elusive random variable (life time). The problem then is reduced to finding the transfer function. We derive some properties of the proposed general model. The Lognormal distribution and the Arrhenius model for lifetime are used as examples. Its relationship with the Cox proportional hazards model is also discussed.
Related Articles:
Analysis of Incentive Effects of Government R & D Investment on Technology Transaction
Yufeng Zhong
DOI: 10.4236/me.2017.81006 1,207 Downloads 1,734 Views Citations
Pub. Date: January 17, 2017
Analysis of R & D Capability of China’s Blockchain Technologies
Xiaoyu Liu, Duyun Peng, Youdong Wen
DOI: 10.4236/tel.2018.810124 793 Downloads 1,750 Views Citations
Pub. Date: June 26, 2018
Research on the “Stickiness” Relationship between R & D and Profitablity of “Unicon” Company—Data Based on the AI Concept Stocks
Huiling You, Qingjun Meng
DOI: 10.4236/ojbm.2018.64068 336 Downloads 584 Views Citations
Pub. Date: October 26, 2018
Study on Food Import in D. R. Congo
Mukeba Mbala Eric, Shiwei Xu, Wen Yu, Shengwei Wang, Abdul-Gafar Ahmed, Siek Darith, Mujinga Bukasa Eliane
DOI: 10.4236/wjet.2017.52B003 1,036 Downloads 2,837 Views Citations
Pub. Date: June 29, 2017
Empirical Research on the Industrial R & D Investment and “Two Oriented Society” Construction in China—On the Analysis of Anhui Industrial Sector
Shanshan Zheng, Biao Luo, Zhiying Liu, Wei Song
DOI: 10.4236/jssm.2015.81004 2,983 Downloads 3,502 Views Citations
Pub. Date: January 26, 2015