Relevant bibliographies by topics / Reliability of model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reliability of model'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Reliability of model"

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Sharma, Dr Rajender Kumar, Dr Archana Kumar, and Sapna Bajaj. "Analysis of Various Software Reliability Models and Proposing a New Model of Software Reliability for Embedded Systems." International Journal of Innovative Research in Computer Science & Technology 5, no. 3 (2017): 287–90. http://dx.doi.org/10.21276/ijircst.2017.5.3.6.

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Kennedy, Peter, David A. Belsley, and Edwin Kuh. "Model Reliability." Canadian Journal of Economics 19, no. 4 (1986): 840. http://dx.doi.org/10.2307/135334.

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Blundell, Richard, David A. Belsley, and Edwin Kuh. "Model Reliability." Economic Journal 97, no. 385 (1987): 236. http://dx.doi.org/10.2307/2233339.

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Fildes, Robert. "Model reliability." International Journal of Forecasting 4, no. 2 (1988): 297–98. http://dx.doi.org/10.1016/0169-2070(88)90089-1.

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Rajeevan, A. K., P. V. Shouri, and Usha Nair. "A Reliability Based Model for Wind Turbine Selection." International Journal of Renewable Energy Development 2, no. 2 (2013): 69–74. http://dx.doi.org/10.14710/ijred.2.2.69-74.

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A wind turbine generator output at a specific site depends on many factors, particularly cut- in, rated and cut-out wind speed parameters. Hence power output varies from turbine to turbine. The objective of this paper is to develop a mathematical relationship between reliability and wind power generation. The analytical computation of monthly wind power is obtained from weibull statistical model using cubic mean cube root of wind speed. Reliability calculation is based on failure probability analysis. There are many different types of wind turbinescommercially available in the market. From rel
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Hai-Liang, Jian, and Wang Chong-Wen. "Web-Oriented Software Reliability Measurement Model and Application." International Journal of Engineering and Technology 4, no. 4 (2012): 358–61. http://dx.doi.org/10.7763/ijet.2012.v4.383.

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Szpytko, Janusz. "Human Reliability Model." Journal of Konbin 8, no. 1 (2008): 189–200. http://dx.doi.org/10.2478/v10040-008-0112-9.

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Human Reliability ModelThe paper is focusing on reliability model of transport devices' human operator. The presented operator model is base on operation potential approach, with taken into account his features and states helping assure of safety decision-making process. The human reliability model is important for future improvement the human - machine interfaces (HMI).
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Muruganantham, B., and K. Vivekanandan. "Multi Perceptional Optimality Matrix Based Web Service Reliability Model." Journal of Software 10, no. 9 (2015): 1045–55. http://dx.doi.org/10.17706//jsw.10.9.1045-1055.

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Muruganantham, B., and K. Vivekanandan. "Multi Perceptional Optimality Matrix Based Web Service Reliability Model." Journal of Software 10, no. 9 (2015): 1045–55. http://dx.doi.org/10.17706/jsw.10.9.1045-1055.

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Jianjun, Yang, and Li Wenjin. "Reliability Optimization Design of Submarine Free-Running Model Systems." International Journal of Engineering and Technology 8, no. 5 (2016): 323–28. http://dx.doi.org/10.7763/ijet.2016.v8.906.

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Dissertations / Theses on the topic "Reliability of model"

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Young, Robert Benjamin. "Reliability Transform Method." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/33824.

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Since the end of the cold war the United States is the single dominant naval power in the world. The emphasis of the last decade has been to reduce cost while maintaining this status. As the Navyâ s infrastructure decreases, so too does its ability to be an active participant in all aspects of ship operations and design. One way that the navy has achieved large savings is by using the Military Sealift Command to manage day to day operations of the Navyâ s auxiliary and underway replenishment ships. While these ships are an active part of the Navyâ s fighting force, they infrequently ar
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Williamson, Jamie D. "Reliability of the Brief Assessment Model." Miami University / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=miami1101994832.

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Wan, Bo. "Improved Usage Model for Web Application Reliability Testing." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23135.

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Testing the reliability of an application usually requires a good usage model that accurately captures the likely sequences of inputs that the application will receive from the environment. The models being used in the literature are mostly based on Markov chains. They are used to generate test cases that are statistically close to what the applica-tion is expected to receive when in production. In this thesis, we propose a model for reli-ability testing that is created directly from the log file of a web application. Our proposed model is also based on Markov chains and has two components: on
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Stockwell, Kathryn S. "Automatic phased mission system reliability model generation." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13583.

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There are many methods for modelling the reliability of systems based on component failure data. This task becomes more complex as systems increase in size, or undertake missions that comprise multiple discrete modes of operation, or phases. Existing techniques require certain levels of expertise in the model generation and calculation processes, meaning that risk and reliability assessments of systems can often be expensive and time-consuming. This is exacerbated as system complexity increases. This thesis presents a novel method which generates reliability models for phasedmission systems, b
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Kallan, Michael A. "Characterizing reliability for a Faculty Climate Survey: Estimation model dependencies and reliability generalization." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280288.

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Methods. Four reliability estimation models were employed to obtain estimates for faculty appointment and gender group measures derived from four questionnaire scales of a Faculty Climate Survey. Faculty responses were analyzed via (a) coefficient alpha, (b) IRT-Rasch, (c) IRT-Unfolding, and (d) CFA methods. Estimates and their components were compared across-groups within scale and within-group across scales to determine differences among estimation models and to uniquely characterize those differences. Scale dimensionality was assessed per-scale per-group using CFA. Secondary analyses includ
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Askvid, Per. "A Model-Based Approach for Reliability Prediction." Thesis, Linköping University, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54323.

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<p>When developing products, reliability is an important factor that has to be considered. For safety critical systems it is important to know the probability that an item will perform a required function without failure under stated conditions for a stated period of time. The main goal of a reliability prediction analysis is to predict the rate at which the product of a system will fail. To perform this prediction there are a number of methodologies available.</p><p>This Master Thesis proposes a model-based approach for reliability prediction calculations based on the physics of failure and s
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Jiang, Zhihua. "A reliability model for systems undergoing remanufacture." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0005/MQ45429.pdf.

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Yerneni, Ashok. "A reliability model incorporating software quality metrics." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50098.

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Large scale software development efforts in the past decade have posed a problem in terms of the reliability of the software. The size and complexity of software that is being developed is growing rapidly and integrating diverse pieces of software in the operational environment also poses severe reliability issues, resulting in increased development and operational costs. A number of reliability models have been defined in the literature to deal with problems of this kind. However, most of these models treat the system as a "black box" and do not consider the complexity of the software in its
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Rodrigues, Genaina Nunes. "A model driven approach for software reliability prediction." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1446004/.

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Software reliability, one of the major software quality attributes, quantitatively expresses the continuity of correct service delivery. In current practice, reliability models are typically measurement-based models, and mostly employed in isolation at the later stage of the soft ware development process, after architectural decisions have been made that cannot easily be reversed early software reliability prediction models are often insufficiently formal to be ana- lyzable and not usually connected to the target system. We postulate it is possible to overcome these issues by supporting softwa
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Kim, Injoong. "Development of a knowledge model for the computer-aided design for reliability of electronic packaging systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22708.

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Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2008.<br>Committee Co-Chair: Peak, Russell; Committee Co-Chair: Sitaraman, Suresh; Committee Member: Paredis, Christiaan; Committee Member: Pucha, Raghuram; Committee Member: Wong, C.
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Books on the topic "Reliability of model"

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Veatch, Michael H. Mission reliability model users guide. Air Force Human Resources Laboratory, Air Force Systems Command, 1986.

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Medina, Joseph M. Mission reliability model programmers guide. Air Force Human Resources Laboratory, Air Force Systems Command, 1986.

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Jiang, Zhihua. A reliability model for systems undergoing remanufacture. National Library of Canada, 1999.

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Srinivasan, Raghavan, Bo Lan, Caroline Mozingo, et al. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Transportation Research Board, 2021. http://dx.doi.org/10.17226/26517.

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Dennison, Thomas E. Fitting and prediction uncertainty for a software reliability model. Naval Postgraduate School, 1992.

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Duffy, Stephen F. Extension of a noninteractive reliability model for ceramic matrix composites. National Aeronautics and Space Administration, Lewis Research Center, 1990.

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Optimizing reservoir resources: Including a new model for reservoir reliability. Wiley, 1999.

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Bund, Robert E. J. Evaluation of a discrete modification of the continuous AMSAA reliability growth model. Naval Postgraduate School, 1989.

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Portinale, Luigi. Modeling and analysis of dependable systems: A probabilistic graphical model perspective. World Scientific, 2015.

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Thalieb, Rio M. An accuracy analysis of Army Material System Analysis Activity discrete reliability growth model. Naval Postgraduate School, 1988.

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Book chapters on the topic "Reliability of model"

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Weik, Martin H. "reliability model." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15998.

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Kumar, Vikas, and R. Vidhyalakshmi. "Reliability Model." In Reliability Aspect of Cloud Computing Environment. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3023-0_5.

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Benedini, Marcello, and George Tsakiris. "Model Reliability." In Water Quality Modelling for Rivers and Streams. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5509-3_20.

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Bieńkowska, Agnieszka, Katarzyna Tworek, and Anna Zabłocka-Kluczka. "Development of the Organizational Reliability Model." In Organizational Reliability. Routledge, 2020. http://dx.doi.org/10.4324/9781003047995-3.

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Fazlollahtabar, Hamed, and Mohammad Saidi-Mehrabad. "Reliability Model for AGV." In Studies in Systems, Decision and Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14747-5_4.

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Kelly, Dana, and Curtis Smith. "Bayesian Model Checking." In Springer Series in Reliability Engineering. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-187-5_4.

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Kolesnichenko, Anna, Anne Remke, Pieter-Tjerk de Boer, and Boudewijn R. Haverkort. "Model Checking Two Layers of Mean-Field Models." In Springer Series in Reliability Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30599-8_13.

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Savchuk, Vladimir, and Chris P. Tsokos. "Theoretical Model for Engineering Reliability." In Bayesian Theory and Methods with Applications. Atlantis Press, 2011. http://dx.doi.org/10.2991/978-94-91216-14-5_8.

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Krishna, G. Sri, and Rajib Mall. "Model-Based Software Reliability Prediction." In Information Systems, Technology and Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12035-0_15.

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Christodoulakis, D., and G. Pantziou. "Another Software Reliability Prediction Model." In Fehlertolerierende Rechensysteme / Fault-Tolerant Computing Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-45628-2_26.

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Conference papers on the topic "Reliability of model"

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Kim, Injoong, Suresh K. Sitaraman, and Russell S. Peak. "Reliability Objects Model: A Knowledge Model of System Design for Reliability." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79934.

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Designing complex systems that satisfy a target reliability is difficult because of complex assembly structures and logical connections, numerous components and associated failure modes, limited reliability data or prediction models, and multi-disciplinary nature. To overcome these difficulties and to design complex systems in a systematic way, this research aims to develop a knowledge model of system design for reliability, called Reliability Object Model. This knowledge model contains a) a new failure analysis structure, b) reliability metrics that represent random failures and wearout failu
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SCHABOWSKY, R., M. LUNIEWICZ, and M. RADLAUER. "Automated reliability model construction." In Astrodynamics Conference. American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-2091.

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Krajcuskova, Zuzana. "Unconventional Reliability Growth Model." In 2008 18th International Conference Radioelektronika. IEEE, 2008. http://dx.doi.org/10.1109/radioelek.2008.4542727.

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Krajcuskova, Zuzana. "New reliability growth model." In 2009 19th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2009. http://dx.doi.org/10.1109/radioelek.2009.5158740.

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Schneidewind, Norm, and Mike Hinchey. "A Complexity Reliability Model." In 2009 20th International Symposium on Software Reliability Engineering (ISSRE 2009). IEEE, 2009. http://dx.doi.org/10.1109/issre.2009.10.

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Amstel, M. F. van, M. G. J. van den Brand, and L. J. P. Engelen. "Using a DSL and Fine-Grained Model Transformations to Explore the Boundaries of Model Verification." In Reliability Improvement Companion. IEEE, 2011. http://dx.doi.org/10.1109/ssiri-c.2011.26.

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Schneidewind, Norm, and Mike Hinchey. "A Reliability Model for Complex Systems." In Reliability Improvement Companion. IEEE, 2011. http://dx.doi.org/10.1109/ssiri-c.2011.23.

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Alonso, Pablo David, Angel Adrian Moreno, and Franco Luis Palmieri. "Petroleum Facilities Reliability Assessment Model." In Latin American & Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/107012-ms.

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Krajcuskova, Zuzana. "New unconventional reliability growth model." In 2010 20th International Conference Radioelektronika (RADIOELEKTRONIKA 2010). IEEE, 2010. http://dx.doi.org/10.1109/radioelek.2010.5478580.

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Yongqiang Zhang and Jingjie Yin. "Software reliability model by AGP." In 2008 IEEE International Conference on Industrial Technology - (ICIT). IEEE, 2008. http://dx.doi.org/10.1109/icit.2008.4608638.

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Reports on the topic "Reliability of model"

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Schneidewind, Norman F. MCTSSA Software Reliability Handbook. Volume IV: Schneidewind Software Reliability and Metrics Model Tool List. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329130.

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Schneidewind, Norman F., and Julie Heineman. MCTSSA Software Reliability Handbook. Volume IV: Schneidewind Software Reliability and Metrics Model Tool List. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329131.

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Schneidewind, Norman F. MCTSSA Software Reliability Handbook. Volume III: Schneidewind Software Reliability and Metrics Model Tool List. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329132.

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Guler Yigitoglu, Askin, Thomas Harrison, and Michael Scott Greenwood. Nuclear Hybrid Energy System Reliability Model Progress Report. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1615830.

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Ferraiolo, Hildegard. A Credential Reliability and Revocation Model for Federated Identities. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7817.

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Logan, R., and C. Nitta. Solution Verification Linked to Model Validation, Reliability, and Confidence. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/923117.

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Rabiti, Cristian, Andrea Alfonsi, Dongli Huang, et al. System Reliability Analysis Capability and Surrogate Model Application in RAVEN. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1376079.

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Choi, Kyung K. System Reliability-Based Design Optimization Under Input and Model Uncertainties. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada605988.

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Fuentes, Rolando, Jorge Blazquez, and Iqbal Adjali. Reorganizing Power Markets: A Reliability Insurance Business Model for Utilities. King Abdullah Petroleum Studies and Research Center, 2018. http://dx.doi.org/10.30573/ks--2018-dp45.

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Davis, J. Lynn. Final Report: System Reliability Model for Solid-State Lighting (SSL) Luminaires. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1360770.

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