Bibliografías temáticas / Accelerated failure time models

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Literatura académica sobre el tema "Accelerated failure time models"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 14 de febrero de 2022

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Artículos de revistas sobre el tema "Accelerated failure time models"

1

Kang, Sangwook, and Kyu hyun Kim. "Accelerated failure time models for right censored failure time data." Journal of the Korean Data And Information Science Sociaty 29, no. 6 (2018): 1365–79. http://dx.doi.org/10.7465/jkdi.2018.29.6.1365.

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Lin, D. "Accelerated failure time models for counting processes." Biometrika 85, no. 3 (1998): 605–18. http://dx.doi.org/10.1093/biomet/85.3.605.

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Sinha, Sanjoy K. "Robust estimation in accelerated failure time models." Lifetime Data Analysis 25, no. 1 (2018): 52–78. http://dx.doi.org/10.1007/s10985-018-9421-z.

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Park, Eunyoung, and Il Do Ha. "Penalized variable selection for accelerated failure time models." Communications for Statistical Applications and Methods 25, no. 6 (2018): 591–604. http://dx.doi.org/10.29220/csam.2018.25.6.591.

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Leng, Chenlei, and Shuangge Ma. "ACCELERATED FAILURE TIME MODELS WITH NONLINEAR COVARIATES EFFECTS." Australian & New Zealand Journal of Statistics 49, no. 2 (2007): 155–72. http://dx.doi.org/10.1111/j.1467-842x.2007.00470.x.

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Yu, Menggang, and Bin Nan. "Regression Calibration in Semiparametric Accelerated Failure Time Models." Biometrics 66, no. 2 (2009): 405–14. http://dx.doi.org/10.1111/j.1541-0420.2009.01295.x.

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Liu, Ruixuan, and Zhengfei Yu. "Accelerated failure time models with log-concave errors." Econometrics Journal 23, no. 2 (2019): 251–68. http://dx.doi.org/10.1093/ectj/utz024.

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Summary We study accelerated failure time models in which the survivor function of the additive error term is log-concave. The log-concavity assumption covers large families of commonly used distributions and also represents the aging or wear-out phenomenon of the baseline duration. For right-censored failure time data, we construct semiparametric maximum likelihood estimates of the finite-dimensional parameter and establish the large sample properties. The shape restriction is incorporated via a nonparametric maximum likelihood estimator of the hazard function. Our approach guarantees the uni
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Sutar, Santosh S., and U. V. Naik-Nimbalkar. "Accelerated Failure Time Models For Load Sharing Systems." IEEE Transactions on Reliability 63, no. 3 (2014): 706–14. http://dx.doi.org/10.1109/tr.2014.2313793.

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Newby, M. "Accelerated failure time models for reliability data analysis." Reliability Engineering & System Safety 20, no. 3 (1988): 187–97. http://dx.doi.org/10.1016/0951-8320(88)90114-7.

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Lee, Sokbae, and Arthur Lewbel. "NONPARAMETRIC IDENTIFICATION OF ACCELERATED FAILURE TIME COMPETING RISKS MODELS." Econometric Theory 29, no. 5 (2013): 905–19. http://dx.doi.org/10.1017/s0266466612000795.

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We provide new conditions for identification of accelerated failure time competing risks models. These include Roy models and some auction models. In our setup, unknown regression functions and the joint survivor function of latent disturbance terms are all nonparametric. We show that this model is identified given covariates that are independent of latent errors, provided that a certain rank condition is satisfied. We present a simple example in which our rank condition for identification is verified. Our identification strategy does not depend on identification at infinity or near zero, and
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Tesis sobre el tema "Accelerated failure time models"

1

Wang, Yaqin. "Estimation of accelerated failure time models with random effects." [Ames, Iowa : Iowa State University], 2006.

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2

Korhonen, Pasi. "Accelerated failure time models for non-ignorable non-compliance in randomized studies." Helsinki : University of Helsinki, 2000. http://ethesis.helsinki.fi/julkaisut/mat/rolfn/vk/korhonen/.

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Mokveld, Philip Jan. "The accelerated failure time model under cross sectional sampling schemes." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2007. http://dare.uva.nl/document/48642.

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Bouadoumou, Maxime K. "Jackknife Empirical Likelihood for the Accelerated Failure Time Model with Censored Data." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/112.

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Kendall and Gehan estimating functions are used to estimate the regression parameter in accelerated failure time (AFT) model with censored observations. The accelerated failure time model is the preferred survival analysis method because it maintains a consistent association between the covariate and the survival time. The jackknife empirical likelihood method is used because it overcomes computation difficulty by circumventing the construction of the nonlinear constraint. Jackknife empirical likelihood turns the statistic of interest into a sample mean based on jackknife pseudo-values. U-stat
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Lu, Yinghua. "Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/76.

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In this thesis, we study two methods for inference of parameters in the accelerated failure time model with right censoring data. One is the Wald-type method, which involves parameter estimation. The other one is empirical likelihood method, which is based on the asymptotic distribution of likelihood ratio. We employ a monotone censored data version of Kendall estimating equation, and construct confidence intervals from both methods. In the simulation studies, we compare the empirical likelihood (EL) and the Wald-type procedure in terms of coverage accuracy and average length of confidence int
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Krachey, Elizabeth Catherine. "Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Different Censoring Scenarios." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-08182009-102357/.

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The accelerated failure time (AFT) model is a popular model for time-to-event data. It provides a useful alternative when the proportional hazards assumption is in question and it provides an intuitive linear regression interpretation where the logarithm of the survival time is regressed on the covariates. We have explored several deviations from the standard AFT model. Standard survival analysis assumes that in the case of perfect follow-up, every patient will eventually experience the event of interest. However, in some clinical trials, a number of patients may never experience such an event
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Chai, Hao. "Statistical inference in high dimensional linear and AFT models." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1303.

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Variable selection procedures for high dimensional data have been proposed and studied by a large amount of literature in the last few years. Most of the previous research focuses on the selection properties as well as the point estimation properties. In this paper, our goal is to construct the confidence intervals for some low-dimensional parameters in the high-dimensional setting. The models we study are the partially penalized linear and accelerated failure time models in the high-dimensional setting. In our model setup, all variables are split into two groups. The first group consists of a
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Minya, Kristoffer. "Överlevnadsanalys i tjänsteverksamhet : Tidspåverkan i överklagandeprocessen på Migrationsverket." Thesis, Linköpings universitet, Statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110428.

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Migrationsverket är en myndighet som prövar ansökningar från personer som vill söka skydd, ha medborgarskap, studera eller vill jobba i Sverige. Då det på senare tid varit en stor ökning i dessa ansökningar har tiden för vilket ett beslut tar ökat. Varje typ av ansökning (exempelvis medborgarskap) är en process som består av flera steg. Hur beslutet går igenom dessa steg kallas för flöde. Migrationsverket vill därför öka sin flödeseffektivitet. När beslutet är klart och personen tagit del av det men inte är nöjd kan denne överklaga. Detta är en av de mest komplexa processerna på Migrationsverk
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Rodríguez, Iván. "Bayesian analysis for Cox's proportional hazard model with error effect and applications to accelerated life testing data." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Lijiao, Yang. "A Methodology for Estimating Business Interruption Losses to Industrial Sectors due to Flood Disasters." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202745.

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Libros sobre el tema "Accelerated failure time models"

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Bagdonavičius, V. Semiparametric models in accelerated life testing. Queen's University, 1995.

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2

Nelson, Wayne. Accelerated testing: Statistical models, test plans and data analyses. Wiley, 1990.

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Bagdonavičius, V. Additive and multiplicative semiparametric models in accelerated life testing and survival analysis. Queen's University, 1998.

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Porter, Alex. Accelerated testing and validation: Testing, engineering, and management tools for lean development. Newnes, 2004.

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Statistical models and methods for lifetime data. 2nd ed. Wiley-Interscience, 2003.

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K, Sinha S., ed. Reliability and life testing. Wiley, 1986.

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Hanagal, David D. Modeling survival data using frailty models. Chapman & Hall/CRC, 2011.

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Moura, Eduardo C. How to determine sample size and estimate failure rate in life testing. ASQC Quality Press, 1991.

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Life time data: Statistical models and methods. World Scientific, 2006.

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Elandt-Johnson, Regina C. Survival models and data analysis. Wiley, 1999.

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Capítulos de libros sobre el tema "Accelerated failure time models"

1

Tilling, Kate, Jonathan A. C. Sterne, and Vanessa Didelez. "G-estimation for Accelerated Failure Time Models." In Modern Methods for Epidemiology. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3024-3_14.

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He, Xin, and G. A. Whitmore. "Connecting Threshold Regression and Accelerated Failure Time Models." In Risk Assessment and Evaluation of Predictions. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8981-8_3.

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Huang, Longlong, Karen Kopciuk, and Xuewen Lu. "Group Selection in Semiparametric Accelerated Failure Time Model." In Advanced Statistical Methods in Data Science. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2594-5_5.

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Syamsundar, A., V. N. A. Naikan, and V. Couallier. "Accelerated Failure Time Models with Corrective and Preventive Maintenance for Repairable Systems Subject to Imperfect Repair." In Reliability, Safety and Hazard Assessment for Risk-Based Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_12.

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Halli, Shiva S., and K. Vaninadha Rao. "The Parametric Failure Time Models." In Advanced Techniques of Population Analysis. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-9030-6_8.

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Kaeding, Matthias. "Discrete Time Models." In Bayesian Analysis of Failure Time Data Using P-Splines. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-08393-9_4.

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Kaeding, Matthias. "Continuous Time Models." In Bayesian Analysis of Failure Time Data Using P-Splines. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-08393-9_6.

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Wilson, Simon P. "Failure Models Indexed by Time and Usage." In Recent Advances in Reliability Theory. Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1384-0_15.

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Lehmann, Axel. "Failure Time Models Based on Degradation Processes." In Advances in Degradation Modeling. Birkhäuser Boston, 2009. http://dx.doi.org/10.1007/978-0-8176-4924-1_14.

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MIYANO, Yasushi, and Masayuki NAKADA. "Advanced Accelerated Testing Methodology for Life Prediction of CFRP laminates." In Time Dependent Constitutive Behavior and Fracture/Failure Processes, Volume 3. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9794-4_28.

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Actas de conferencias sobre el tema "Accelerated failure time models"

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Fard, Nasser, and Keivan Sadeghzadeh. "Complex data classification in weighted accelerated failure time model." In 2016 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2016. http://dx.doi.org/10.1109/rams.2016.7448035.

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Hall, Gavin D. R., and Derryl D. J. Allman. "An evaluation of accelerated failure time models of stress-migration and stress-induced voiding failures under vias." In 2015 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2015. http://dx.doi.org/10.1109/irps.2015.7112682.

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Wessels, William R., Seth Farrington, and Tim Henstock. "Reliability Failure Analysis to Characterize Time-Directed Maintenance Inspection Interval." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38972.

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Reliability failure analysis is performed to implement Reliability-Centered Maintenance, RCM. RCM is implemented by Condition-based Maintenance, CBM, or Time-directed Maintenance, TDM. This paper defines the approach to characterize the time-directed inspection interval for fielded systems in sustainment. The limitation of resources available to the field engineer dictates that neither the incidence nor costs of part failure are sufficient criteria to identify which parts will be selected for transition from unscheduled repair maintenance to RCM. Application of fault tree analysis combined wit
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Janurova, Katerina. "Mortality risk modelling in colorectal surgery using Weibull accelerated failure time regression model." In 2015 International Conference on Information and Digital Technologies (IDT). IEEE, 2015. http://dx.doi.org/10.1109/dt.2015.7222961.

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Picciotto, Sally, Daniel M. Brown, Andreas M. Neophytou, et al. "0190 Occupational exposure to crystalline silica and death from lung cancer: g-estimation of structural accelerated failure time models." In Eliminating Occupational Disease: Translating Research into Action, EPICOH 2017, EPICOH 2017, 28–31 August 2017, Edinburgh, UK. BMJ Publishing Group Ltd, 2017. http://dx.doi.org/10.1136/oemed-2017-104636.154.

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Karimi, Mostafa, Noor Akma Ibrahim, Mohd Rizam Abu Bakar, and Jayanthi Arasan. "Rank-based inference for the accelerated failure time model in the presence of interval censored data." In INNOVATIONS THROUGH MATHEMATICAL AND STATISTICAL RESEARCH: Proceedings of the 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016). Author(s), 2016. http://dx.doi.org/10.1063/1.4952568.

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John, Carolyn J., Consuelo E. Guzman-Leong, Thomas C. Esselman, and Sam L. Harvey. "Methods to Define Failure Probability for Power Plant Heat Exchangers." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3367.

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In response to the technical challenges faced by aging plant systems and components at nuclear power plants (NPP), the Electric Power Research Institute (EPRI) has a product entitled Integrated Life Cycle Management (ILCM). The ILCM software is a quantitative tool that supports capital asset and component replacement decision-making at NPPs. ILCM is comprised of models that predict the probability of failure (PoF) over time for various high-value components such as steam generators, turbines, generators, etc. The PoF models allow the user to schedule replacements at the optimum time, thereby r
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Fleming, Karl N., and Bengt O. Y. Lydell. "Use of Markov Piping Reliability Models to Evaluate Time Dependent Frequencies of Loss of Coolant Accidents." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49172.

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Markov model theory has been applied to develop a method to evaluate the influence of alternate strategies for in-service inspection and leak detection on the frequency of leaks and ruptures in nuclear power plant piping systems [1–4]. This approach to quantification of pipe rupture frequency was originally based on a Bayes’ uncertainty analysis approach to derive piping system failure rates from a combination of service experience data and some simple reliability models [5–7]. More recently the Markov model approach has been used in conjunction with probabilistic fracture mechanics methods in
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Lee, Geunho, Hyoungeui Kim, and Dosik Kim. "Study of the Accelerated Life Test Method for Power Train Components Under Cyclic Loads Using Weibull-IPL (Inverse Power Law) Model." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42652.

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This study was performed to develop the accelerated life test method using Weibull-IPL (Inverse Power Law) model for power train components that are running on cyclic loads. Weibull-IPL model is concerned with determining the assurance life with confidence level and the accelerated life test time. From the relation of weibull distribution factors and confidence limit, the testing times on the no or some number of failure acceptance criteria are determined. The power train components under cyclic loads generally represent wear and fatigue characteristics as a failure mode. IPL based on the cumu
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Oh, Hyunseok, Tadahiro Shibutani, and Michael Pecht. "Identification of Failure Precursor Parameters for Cooling Fans." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86280.

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Cooling fans have been a critical part of the thermal management of commercial and military electronic equipment. Although accelerated testing by increasing operating temperatures has been commonly adopted in order to estimate the reliability of cooling fans in a short time frame, the testing time is usually more than 6 months due to the high reliability of current ball bearings. Prognostics and health management is a potential way to solve this problem. The first step in PHM is to identify precursor parameters. This article begins with the identification of precursor parameters from published
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Informes sobre el tema "Accelerated failure time models"

1

Lewbel, Arthur, and Sokbae (Simon) Lee. Nonparametric identification of accelerated failure time competing risks models. Institute for Fiscal Studies, 2010. http://dx.doi.org/10.1920/wp.cem.2010.1410.

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STUDY ON MICROMECHANICAL FRACTURE MODELS OF STRUCTURAL STEEL AND ITS WELDS. The Hong Kong Institute of Steel Construction, 2021. http://dx.doi.org/10.18057/ijasc.2021.17.2.2.

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Steel structures have been widely used in constructions due to their advantages of lightweight, high strength, short construction time and high recycling and reuse potential. Fracture failure in steel structures should be prevented to avoid collapse of the whole structures. Micromechanical fracture models can capture the fracture initiation mechanisms and therefore can be used to predict ductile fractures in steel. Twelve smooth round bars were carried out to obtain the material properties and 36 notched round bars were tested to calibrate the parameters of stress modified critical strain (SMC
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