Relevant bibliographies by topics / Weibull Analysis

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

Academic literature on the topic 'Weibull Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Weibull Analysis"

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Ziegel, EricR. "Weibull Analysis." Technometrics 37, no. 3 (1995): 347–48. http://dx.doi.org/10.1080/00401706.1995.10484347.

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Padgett, W. J. "Weibull Analysis." Journal of Quality Technology 27, no. 4 (1995): 395–96. http://dx.doi.org/10.1080/00224065.1995.11979627.

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Bantan, Rashad A. R., Shakaiba Shafiq, M. H. Tahir, et al. "Statistical Analysis of COVID-19 Data: Using A New Univariate and Bivariate Statistical Model." Journal of Function Spaces 2022 (June 23, 2022): 1–26. http://dx.doi.org/10.1155/2022/2851352.

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In this paper, a new distribution named as unit-power Weibull distribution (UPWD) defined on interval (0,1) is introduced using an appropriate transformation to the positive random variable of the Weibull distribution. This work offers quantile function, linear representation of the density, ordinary and incomplete moments, moment-generating function, probability-weighted moments, L -moments, TL-moments, Rényi entropy, and MLE estimation. Additionally, several actuarial measures are computed. The real data applications are carried out to underline the practical usefulness of the model. In addi
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Gu, Ying Kui, De Liang Ge, and Yao Gang Xiong. "A Reliability Data Analysis Method Using Mixture Weibull Distribution Model." Applied Mechanics and Materials 148-149 (December 2011): 1449–53. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.1449.

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The weibull distribution plays a crucial role in reliability theory and life-testing experiments. Weibull mixtures are widely used to model lifetime and failure time data, since they exhibit a wide range of shapes for the failure rate function. In this paper, the failure data of crank rod system was analyzed by using mixture weibull distribution model. The distribution parameters of the mixture weibull distribution model were estimated by using maximum likelihood estimation and drawing method. The comparison of fitting degree of failure location between standard weibull distribution model and
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Picoli, S., R. S. Mendes, and L. C. Malacarne. "q-exponential, Weibull, and q-Weibull distributions: an empirical analysis." Physica A: Statistical Mechanics and its Applications 324, no. 3-4 (2003): 678–88. http://dx.doi.org/10.1016/s0378-4371(03)00071-2.

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Gu, Ying Kui, and Jing Li. "Engine Failure Data Analysis Method Based on Weibull Distribution Model." Applied Mechanics and Materials 128-129 (October 2011): 850–54. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.850.

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The failure data of crank rod system was analyzed by using weibull parallel model on the base of the simple weibull method. The distribution parameters of the weibull parallel model were estimated by using drawing method. The solving process of WPP drawing method was given in detial. Results show that the fitting degree of the failure data in the weibull parallel model is higher than that of the simple weibull distribution model, and it can more accurately described the failure distribution curve of the system in life cycle, which can provide necessary information for engine reliability indexe
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Bedjguelel, Chabane, Hacene Gharout, and Bakir Farhi. "Dynamics analysis of the Weibull model." MATHEMATICA 65 (88), no. 2 (2023): 184–96. http://dx.doi.org/10.24193/mathcluj.2023.2.04.

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In this work, we study the dynamics of the Weibull model in dimension one, represented by the Weibull function with three parameters. The positive fixed points have been studied and implicitly expressed in terms of the Lambert W-function as well as the existence and stability conditions. We deduce that this Weibull function defines an Allee function for certain parameter values. Numerical simulations have been presented to illustrate the theoretical results.
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Crosby, T. M., and G. L. Reinman. "Gas Turbine Safety Improvement Through Risk Analysis." Journal of Engineering for Gas Turbines and Power 110, no. 2 (1988): 265–70. http://dx.doi.org/10.1115/1.3240116.

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This paper is intended to provide the engineer with the information necessary to understand certain statistical methods that are used to improve system safety. It will provide an understanding of Weibull analysis, in that it describes when the Weibull distribution is appropriate, how to construct a Weibull plot, and how to use the parameters of the Weibull distribution to calculate risk. The paper will also provide the engineer with a comprehension of Monte Carlo simulation as it relates to quantifying safety risk. The basic components of Monte Carlo simulation are discussed as well as the for
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Srisaila, A., D. Rajani, M. V. D. N. S. Madhavi, G. Jaya Lakshmi, K. Amarendra, and Narasimha Rao Dasari. "An Improved Data Generalization Model for Real-Time Data Analysis." Scientific Programming 2022 (August 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/4118371.

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This research proposes a maximum likelihood-Weibull distribution (WD) model for the generalized data distribution family. The distribution function of the anticipated maximum likelihood-Weibull distribution is defined where the statistical properties are derived. The data distribution is capable of modelling monotonically decreasing, increasing, and constant hazard rates. The proposed maximum likelihood-Weibull distribution is used for evaluated these parameters. The experimentation is done to evaluate the potential of the maximum likelihood-Weibull distribution estimated. Here, the online ava
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Badr, Majdah Mohammed, Amal T. Badawi, and Alya S. Alzubidi. "A New Extension of the Exponentiated Weibull Model Mathematical Properties and Modelling." Journal of Function Spaces 2022 (April 28, 2022): 1–10. http://dx.doi.org/10.1155/2022/4669412.

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Recently, several writers have extended the exponentiated Weibull distribution. The five-parameter exponentiated Weibull-exponentiated Weibull (EW-EW) distribution is introduced. In terms of fit, the EW-EW distribution outperforms the EW distribution. Some EW-EW distribution features, such as precise formulas for ordinary moments, quantile, median, and order statistics, are found. Model parameters were estimated using the maximum likelihood technique (ML). The behavior of the various estimators was investigated using a simulated exercise. A medical dataset was utilized to evaluate the practica
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Dissertations / Theses on the topic "Weibull Analysis"

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Carrasco, Jalmar Manuel Farfán. "Modelo de regressão log-Weibull modificado e a nova distribuição Weibull modificada generalizada." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-29022008-151018/.

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Neste trabalho propomos um modelo de regress~ao utilizando a distribuição Weibull modificado, esta distribuição pode ser usada para modelar dados de sobrevivência quando a de função de risco tem forma de U ou banheira. Assumindo dados censurados, é considerado os estimadores de máxima verossimilhança e Jackknife para os parâmetros do modelo proposto. Foram derivadas as matrizes apropriadas para avaliar influiência local sobre os parâmetros estimados considerando diferentes peturbações e também é apresen- tada alguma medidas de influência global. Para diferentes parâmetros fixados, tamanhos de
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Barajas, Freddy Hernandez. "Modelos multiníveis Weibull com efeitos aleatórios." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-07052013-203915/.

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Os modelos multiníveis são uma classe de modelos úteis na análise de bases de dados com estrutura hierárquica. No presente trabalho propõem-se os modelos multiníveis com resposta Weibull, nos quais são considerados interceptos aleatórios na modelagem dos dois parâmetros da distribuição da variável resposta. Os modelos aqui propostos são flexíveis devido a que a distribuição dos interceptos aleatórios pode der escolhida entre uma das seguintes quatro distribuições: normal, log--gama, logística e Cauchy. Uma extensão dos modelos é apresentada na qual é possível incluir na parte sistemática dos d
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Reis, Thaís Carolina Santos dos. "Extensões da Distribuição Weibull Aplicadas na Análise de Séries Climatológicas /." Presidente Prudente, 2017. http://hdl.handle.net/11449/152391.

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Orientador: Josmar Mazucheli<br>Resumo: Na análise de séries climatológicas, a metodologia conhecida como “análise de frequências” inicia-se, após a verificação da validade de algumas suposições, pela escolha e ajuste de uma distribuição de probabilidade. A etapa mais importante desta análise é a escolha ou seleção da distribuição de probabilidade que melhor descreva o verdadeiro comportamento da variável em estudo. Uma vez adotada uma distribuição de probabilidade que esteja bem ajustada, segundo um ou vários critérios, é de interesse, por exemplo, estimar a probabilidade de que eventos de ce
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Al-Malki, Saad Jamaan. "Statistical analysis of lifetime data using new modified Weibull distributions." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/statistical-analysis-of-lifetime-data-using-new-modified-weibull-distributions(0c8f3735-cc11-4189-b48e-99514c6110a2).html.

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The Weibull distribution is a popular and widely used distribution in reliability and in lifetime data analysis. Since 1958, the Weibull distribution has been modified by many researchers to allow for non-monotonic hazard functions. Many modifications of the Weibull distribution have achieved the above purpose. On the other hand, the number of parameters has increased, the forms of the survival and hazard functions have become more complicated and the estimation problems have risen. This thesis provides an extensive review of some discrete and continuous versions of the modifications of the We
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Benfenati, Francesco Maria. "Statistical analysis of oceanographic extreme events." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19885/.

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Condizioni ambientali estreme del mare possono avere un forte impatto sulla navigazione e/o sul successo di operazioni di salvataggio. Le tecniche statistiche sono cruciali per quantificare la presenza di eventi estremi e monitorarne variazioni di frequenza e intensità. Gli eventi estremi "vivono" nella coda di una funzione distribuzione di probabilità (PDF), per questo è importante studiare la PDF in punti lontani diverse deviazioni standard dalla media. L’altezza significativa dell’onda (SWH) è il parametro solitamente usato per valutare l’intensità degli stati del mare. L’analisi degli es
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Abughazaleh, Tareq Ali Ibrahim. "The viability of Weibull analysis of small samples in process manufacturing." Thesis, University of Hertfordshire, 2002. http://hdl.handle.net/2299/14042.

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This research deals with some Statistical Quality Control (SQC) methods, which are used in quality testing. It investigates the problem encountered with statistical process control (SPC) tools when small sample sizes are used. Small sample size testing is a new area of concern especially when using expensive (or large) products, which are produced in small batches (low volume production). Critical literature review and analysis of current technologies and methods in SPC with small samples testing failed to show a conformance with conventional SPC techniques, as the confidence limits for averag
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Negash, Efrem Ocubamicael. "Risk and admissibility for a Weibull class of distributions." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50086.

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Thesis (MSc)--Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: The Bayesian approach to decision-making is considered in this thesis for reliability/survival models pertaining to a Weibull class of distributions. A generalised right censored sampling scheme has been assumed and implemented. The Jeffreys' prior for the inverse mean lifetime and the survival function of the exponential model were derived. The consequent posterior distributions of these two parameters were obtained using this non-informative prior. In addition to the Jeffreys' prior, the natural conjugate prior was consid
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Reis, Thaís Carolina Santos dos [UNESP]. "Extensões da Distribuição Weibull Aplicadas na Análise de Séries Climatológicas." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152391.

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Submitted by THAIS CAROLINA SANTOS REIS (thais.carolreis@gmail.com) on 2017-12-23T00:12:53Z No. of bitstreams: 1 dissertacao.pdf: 2133624 bytes, checksum: f25eb167a8e2de286e61755cbfe017ff (MD5)<br>Approved for entry into archive by Claudia Adriana Spindola null (claudia@fct.unesp.br) on 2018-01-03T15:41:54Z (GMT) No. of bitstreams: 1 reis_tcs_me_prud.pdf: 2133624 bytes, checksum: f25eb167a8e2de286e61755cbfe017ff (MD5)<br>Made available in DSpace on 2018-01-03T15:41:54Z (GMT). No. of bitstreams: 1 reis_tcs_me_prud.pdf: 2133624 bytes, checksum: f25eb167a8e2de286e61755cbfe017ff (MD5) Previ
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Jiang, Tao. "Information Approach for Change Point Detection of Weibull Models with Applications." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1434382384.

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Thomas, Gina M. "Weibull parameter estimation using genetic algorithms and a heuristic approach to cut-set analysis." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1178901727.

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Books on the topic "Weibull Analysis"

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Dodson, Bryan. Weibull analysis. ASQC Quality Press, 1994.

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Dodson, Bryan. Weibull analysis. ASQC Quality Press, 1994.

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McDonnell Douglas Astronautics Company--Houston Division. and United States. National Aeronautics and Space Administration., eds. Independent Orbiter assessment: Weibull analysis report. McDonnell Douglas Astronautics Company, 1987.

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C, Hendricks Robert, Zaretsky Erwin V, and NASA Glenn Research Center, eds. Predictive failure of cylindrical coatings using Weibull analysis. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Duffy, Stephen F. Reliability analysis of structural ceramic components using a three-parameter Weibull distribution. National Aeronautics and Space Administration, 1992.

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Gross, Bernard. Least squares best fit method for the three parameter Weibull distribution: Analysis of tensile and bend specimens with volume or surface flaw failure. National Aeronautics and Space Administration, Langley Research Center, 1996.

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J, Hu, Hopkins D. A, and Lewis Research Center, eds. An overview of engineering concepts and current design algorithms for probabilistic structural analysis. NASA Lewis Research Center, 1995.

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George C. Marshall Space Flight Center., ed. Reliability growth modeling analysis of the space shuttle main engines based upon the Weibull process. National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1990.

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M, Steinetz Bruce, and United States. National Aeronautics and Space Administration., eds. Thermal and structural assessments of a ceramic wafer seal in hypersonic engines. National Aeronautics and Space Administration, 1991.

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Dodson, Bryan. The Weibull Analysis Handbook. 2nd ed. ASQ Quality Press, 2006.

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Book chapters on the topic "Weibull Analysis"

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Saunders, Sam C. "Weibull Analysis." In Springer Series in Statistics. Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-48538-6_8.

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Mariappan, Veeachamy, Ajit Srividya, and Milind Sakhardande. "Semi-Markov analysis of systems with Weibull interface." In System Reliability Analysis. CRC Press, 2024. https://doi.org/10.1201/9781003546214-3.

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Mosler, Karl, and Lars Haferkamp. "A Comparison of Recent Procedures in Weibull Mixture Testing." In Advances in Data Analysis. Birkhäuser Boston, 2009. http://dx.doi.org/10.1007/978-0-8176-4799-5_19.

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Bagdonavičius, Vilijandas, Mikhail Nikulin, and Ruta Levuliene. "On the Validity of the Weibull-Gnedenko Model." In Applied Reliability Engineering and Risk Analysis. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118701881.ch19.

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Jain, Pushpdant, and Lijo Varghese. "Reliability Analysis of Car Subsystem by Weibull Two Parameter Analysis." In Recent Advances in Mechanical Infrastructure. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4176-0_12.

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Tiryakioğlu, Murat, and David Hudak. "Guidelines for 2-Parameter Weibull Analysis For Castings." In Shape Casting. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118062050.ch20.

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Thamrin, Sri Astuti, James M. McGree, and Kerrie L. Mengersen. "Bayesian Weibull Survival Model for Gene Expression Data." In Case Studies in Bayesian Statistical Modelling and Analysis. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118394472.ch10.

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Engelhardt, Max, Lee J. Bain, and Saul Blumenthal. "Statistical Analysis Of a Weibull Process With Left- Censored Data." In Survival Analysis: State of the Art. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7983-4_11.

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Singpurwalla, Nozer D., and Mao Shi Song. "The Analysis of Weibull Lifetime Data Incorporating Expert Opinion." In Probability and Bayesian Statistics. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1885-9_44.

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Oliveira, Michelle Souza, Fabio da Costa Garcia Filho, Fernanda Santos da Luz, and Sergio Neves Monteiro. "Density Weibull Analysis of Tucum Fiber with Different Diameters." In Characterization of Minerals, Metals, and Materials 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65493-1_30.

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Conference papers on the topic "Weibull Analysis"

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Hegde, Vinayak. "Machine Learning with Weibull Analysis and Mixed Failure Mechanisms." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935005.

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Qasaimeh, Awni, and Eva Kosiba. "Reliability Modeling Using Weibull Analysis and AI Based on Field Returns." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935240.

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Silkworth, David. "WeibullR: An R Package for Weibull Analysis for Reliability Engineers." In Annual Meeting of the International Society for Data Science and Analytics. ISDSA Press, 2020. http://dx.doi.org/10.35566/isdsa2019c3.

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Luko, Stephen N. "Weibull Analysis With Assumed Weibull Slope Where NO Failures Are Observed." In International Off-Highway & Powerplant Congress & Exposition. SAE International, 1998. http://dx.doi.org/10.4271/982032.

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Clement, Nadia L., and Ronald C. Lasky. "Weibull Distribution and Analysis: 2019." In 2020 Pan Pacific Microelectronics Symposium (Pan Pacific). IEEE, 2020. http://dx.doi.org/10.23919/panpacific48324.2020.9059313.

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Sadok, Ibrahim, and Mourad Zribi. "Image Restoration Using Weibull Particle Filters." In 2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS). IEEE, 2022. http://dx.doi.org/10.1109/pais56586.2022.9946893.

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Tarum, Carl D. "Classification and Analysis of Weibull Mixtures." In International Congress & Exposition. SAE International, 1999. http://dx.doi.org/10.4271/1999-01-0055.

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Oyarce, Rodrigo, and Flavia Pennini. "LMC complexity analysis for Weibull distribution." In IWOSP 2021, INTERNATIONAL WORKSHOP ON STATISTICAL PHYSICS. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0133057.

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Salzman, Ronald H. "Applying Weibull Methods in Gas Turbine Component Data Analysis." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50205.

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The intent of this paper is to explain the basic theory and steps involved in performing a Weibull analysis of gas turbine component data. It is also to illustrate through practical examples, the application of the theory discussed and to demonstrate the versatility of performing Weibull analysis. Real-world applications will include using Weibull analysis to identify batch problems in fuel nozzle support housings and a method to determine if the thrust bearing wear rate is best fit with a three-parameter Weibull or a lognormal distribution. Also, a special technique will be described to deter
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Byers, J. L. "Weibull Analysis Techniques on a Desktop Computer." In ASME 1988 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1988. http://dx.doi.org/10.1115/88-gt-285.

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This paper presents a summary of a task to provide individual Navy project engineers with analytical tools that enable them to perform Weibull failure and related analyses on a desktop computer. Similar tools have been available on mainframe computers for over a decade while only fragmented and incomplete tools existed for desktop computers. There is now available an integrated computer program that allows Navy project engineers and other Navy analysts to perform rigorous trade-off and what-if analyses in an interactive manner without having to send the problem off to their organizational cent
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Reports on the topic "Weibull Analysis"

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Byers, James L. Weibull-Based Parts Failure Analysis Computer Program User's Manual. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada223302.

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Parkins and Leis. L51654 Spatial Densities of Stress-Corrosion Cracks in Line-Pipe Steels. Pipeline Research Council International, Inc. (PRCI), 1992. http://dx.doi.org/10.55274/r0010367.

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There was a need to define the spatial density of stress-corrosion crack arrays that develop in operating gas-transmission pipelines and in laboratory test specimens of line-pipe steel, to improve understanding of the factors that control the density and provide data to test models of pipeline cracking. Within the broad definition of crack density are included the locations, numbers, lengths, depths, and degree of linkage of cracks. An analysis has been conducted of location, numbers, lengths, depths, and degree of linkage of stress-corrosion crack colonies in samples from the field and from l
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