Relevant bibliographies by topics / Weibull distribution

Contents

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

Academic literature on the topic 'Weibull distribution'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Weibull distribution.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Weibull distribution"

1

Oluyede, Broderick. "The Gamma-Weibull-G Family of Distributions with Applications." Austrian Journal of Statistics 47, no. 1 (January 30, 2018): 45–76. http://dx.doi.org/10.17713/ajs.v47i1.155.

Full text
Abstract:
Weibull distribution and its extended families has been widely studied in lifetime applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail this new class of distributions, namely, Gamma-WeibullG family of distributions (GWG). Some special models in the new class are discussed. Statistical properties of the family of distributions, such as expansion of density function, hazard and reverse hazard functions, quantile function, moments, incomplete moments, generating functions, mean deviations, Bonferroni and Lorenz curves and order statistics are presented. We also present R´enyi entropy, estimation of parameters by using method of maximum likelihood, asymptotic confidence intervals and applications using real data
APA, Harvard, Vancouver, ISO, and other styles
2

Alzoubi, Loai, Ahmad Al-Khazaleh, Ayat Al-Meanazel, and Mohammed Gharaibeh. "EPANECHNIKOV-WEIBULL DISTRIBUTION." Journal of Southwest Jiaotong University 57, no. 6 (December 30, 2022): 949–58. http://dx.doi.org/10.35741/issn.0258-2724.57.6.81.

Full text
Abstract:
The idea of using kernel functions combined with distributions to propose new distributions has recently been used to suggest new continuous distributions. This article combined the Epanechnikov kernel function with the Weibull distribution to produce the Epanechnikov-Weibull distribution (EWD). We have presented some properties of EWD, like the moments, MLEs, reliability analysis functions, Rényi entropy and the quantile function. We estimated the model parameters using the maximum likelihood method. A simulation study was conducted to calculate the MLE in terms of biases, mean square errors and mean relative, it shows that the estimates are consistent. Two real data set applications revealed that EWD is more flexible than the Weibull distribution.
APA, Harvard, Vancouver, ISO, and other styles
3

Cao, Quang V., and Qinglin Wu. "Characterizing wood fiber and particle length with a mixture distribution and a segmented distribution." Holzforschung 61, no. 2 (March 1, 2007): 124–30. http://dx.doi.org/10.1515/hf.2007.023.

Full text
Abstract:
Abstract The length data from 12 samples of wood fibers and particles were described using lognormal and Weibull distributions. While both distributions fitted the middle range of the data well, the lognormal distribution provided a closer fit for short fibers and particles and the Weibull distribution was more appropriate for long ones. A mixture of the lognormal and Weibull distributions was developed using a variable weight to allow the new distribution to take the lognormal form for short fibers and gradually change to the Weibull form for long fibers. In the segmented distribution approach, a left segment of the lognormal distribution was joined to a right segment from the Weibull form. The Anderson-Darling goodness-of-fit test at the 5% level failed to reject the hypothesis that the mixture distribution and the segmented distribution fitted the data. Q-Q plots showed that both the mixture and segmented distributions provided an excellent fit to the fiber and particle length data, combining the best features of the lognormal and the Weibull distributions. These two new distributions are therefore better alternatives than the single lognormal and Weibull distributions for this data set.
APA, Harvard, Vancouver, ISO, and other styles
4

Almazah, Mohammed M. A., Kalim Ullah, Eslam Hussam, Md Moyazzem Hossain, Ramy Aldallal, and Fathy H. Riad. "New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector." Complexity 2022 (August 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/1325825.

Full text
Abstract:
Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory, numerous methods have been studied and suggested/introduced to increase the flexibility level of the traditional probability distributions. In this paper, we implement different distribution methods to obtain five new different versions of the inverse Weibull model. The new modifications of the inverse Weibull model are called the logarithm transformed-inverse Weibull, a flexible reduced logarithmic-inverse Weibull, the weighted TX-inverse Weibull, a new generalized-inverse Weibull, and the alpha power transformed extended-inverse Weibull distributions. To illustrate the flexibility and applicability of the new modifications of the inverse Weibull model, a biomedical data set is analyzed. The data set consists of 108 observations and represents the mortality rate of the COVID-19-infected patients. The practical application shows that the new generalized-inverse Weibull is the best modification of the inverse Weibull distribution.
APA, Harvard, Vancouver, ISO, and other styles
5

Kızılersü, Ayşe, Markus Kreer, and Anthony W. Thomas. "The Weibull distribution." Significance 15, no. 2 (April 2018): 10–11. http://dx.doi.org/10.1111/j.1740-9713.2018.01123.x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Mustafa, Abdelfattah, Beih S. Desouky, and Shamsan AL-Garash. "THE WEIBULL GENERALIZED FLEXIBLE WEIBULL EXTENSION DISTRIBUTION." Journal of Data Science 14, no. 3 (March 5, 2021): 453–78. http://dx.doi.org/10.6339/jds.201607_14(3).0004.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Klakattawi, Hadeel S. "The Weibull-Gamma Distribution: Properties and Applications." Entropy 21, no. 5 (April 26, 2019): 438. http://dx.doi.org/10.3390/e21050438.

Full text
Abstract:
A new member of the Weibull-generated (Weibull-G) family of distributions—namely the Weibull-gamma distribution—is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes. Some special cases of the Weibull-gamma distribution are considered. Several properties of the new distribution are studied. The maximum likelihood method is applied to obtain an estimation of the parameters of the Weibull-gamma distribution. The usefulness of the proposed distribution is examined by means of five applications to real datasets.
APA, Harvard, Vancouver, ISO, and other styles
8

Aminu Adamu, Abubakar Yahaya, and Hussaini Garba Dikko. "APPLICATIONS OF INVERSE WEIBULL RAYLEIGH DISTRIBUTION TO FAILURE RATES AND VINYL CHLORIDE DATA SETS." FUDMA JOURNAL OF SCIENCES 5, no. 2 (June 22, 2021): 89–99. http://dx.doi.org/10.33003/fjs-2021-0502-479.

Full text
Abstract:
In this work, a new three parameter distribution called the Inverse Weibull Rayleigh distribution is proposed. Some of its statistical properties were presented. The PDF plot of Inverse Weibull Rayleigh distribution showed that it is good for modeling positively skewed and symmetrical datasets. The plot of the hazard function showed that the proposed distribution can fit datasets with bathtub shape. Method of maximum likelihood estimation was employed to estimate the parameters of the distribution, the estimators of the parameters of Inverse Weibull Rayleigh distribution is asymptotically unbiased and asymptotically efficient from the result of the simulation carried out. Applying the new distribution to a positively skewed Vinyl Chloride data set shows that the distribution performs better than Rayleigh, Generalized Rayleigh, Weibull Rayleigh, Inverse Weibull, Inverse Weibull Weibull, Inverse Weibull Inverse Exponential and Inverse Weibull Pareto distribution in fitting the data as it has the smallest AIC value. Also, applying the new distribution to a negatively skewed bathtub shape failure rates data shows that the distribution is a competitive model after Weibull Rayleigh and Inverse Weibull Weibull distributions in fitting the data because it has the third least AIC value.
APA, Harvard, Vancouver, ISO, and other styles
9

Makubate, Boikanyo, Broderick O. Oluyede, Gofaone Motobetso, Shujiao Huang, and Adeniyi F. Fagbamigbe. "The Beta Weibull-G Family of Distributions: Model, Properties and Application." International Journal of Statistics and Probability 7, no. 2 (January 18, 2018): 12. http://dx.doi.org/10.5539/ijsp.v7n2p12.

Full text
Abstract:
A new family of generalized distributions called the beta Weibull-G (BWG) distribution is proposed and developed. This new class of distributions has several new and well known distributions including exponentiated-G, Weibull-G, Rayleigh-G, exponential-G, beta exponential-G, beta Rayleigh-G, beta Rayleigh exponential, beta-exponential-exponential, Weibull-log-logistic distributions, as well as several other distributions such as beta Weibull-Uniform, beta Rayleigh-Uniform, beta exponential-Uniform, beta Weibull-log logistic and beta Weibull-exponential distributions as special cases. Series expansion of the density function, hazard function, moments, mean deviations, Lorenz and Bonferroni curves, R\'enyi entropy, distribution of order statistics and maximum likelihood estimates of the model parameters are given. Application of the model to real data set is presented to illustrate the importance and usefulness of the special case beta Weibull-log-logistic distribution.
APA, Harvard, Vancouver, ISO, and other styles
10

Jain, Kanchan, Neetu Singla, and Suresh Kumar Sharma. "The Generalized Inverse Generalized Weibull Distribution and Its Properties." Journal of Probability 2014 (August 6, 2014): 1–11. http://dx.doi.org/10.1155/2014/736101.

Full text
Abstract:
The Inverse Weibull distribution has been applied to a wide range of situations including applications in medicine, reliability, and ecology. It can also be used to describe the degradation phenomenon of mechanical components. We introduce Inverse Generalized Weibull and Generalized Inverse Generalized Weibull (GIGW) distributions. GIGW distribution is a generalization of several distributions in literature. The mathematical properties of this distribution have been studied and the mixture model of two Generalized Inverse Generalized Weibull distributions is investigated. Estimates of parameters using method of maximum likelihood have been computed through simulations for complete and censored data.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Weibull distribution"

1

Pyatrin, D. K., O. V. Kozhokhina, G. Y. Marinchenko, L. V. Blahaia, Д. К. Пятрін, О. В. Кожохіна, Г. Є. Марінченко, and Л. В. Благая. "Weibull distribution avionics application." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50499.

Full text
Abstract:
1. Reliability of avionics systems. Textbook/Gribov V.M., Kozhokhina O.V., Marinchenko H.Y., Strelnikov V.P., - K.: Aliant, 2021, - 264p. 2. Weibull W. A statistical distribution function of wide application. ASME paper 51-A-6, Nov 1951. 3. Sherwin D J and Lees F P. An investigation of the application of failure data analysis to decision making in the maintenance of process plant. Proc Instn Mech Engrs, Vol 194, No 29, 1980.
The paper deals with the weibull distribution in avionics application. During the operation of aircraft, the events that determine the transition of the product to different technical states occur randomly. Intervals of time of stay of a product in this or that condition have casual values of duration. The Weibull distribution is a fairly flexible function that can well align a variety of failure statistics and can be a model for the reliability of both electronic and mechanical products. The Weibull distribution successfully can be used in reliability engineering and failure analysis.
У тезах розглядається розподіл Вейбулла в застосуванні до авіоніки. Під час експлуатації літальних апаратів події, що визначають перехід виробу в різні технічні стани, відбуваються випадковим чином. Інтервали часу перебування виробу в тому чи іншому стані мають випадкові значення тривалості. Розподіл Вейбулла — це досить гнучка функція, яка може добре узгоджувати різноманітні статистичні дані про відмови та може бути взірцем надійності як електронних, так і механічних виробів. Розподіл Вейбулла може бути використаний в прогнозуванні надійності авіоніки та аналізі відмов.
APA, Harvard, Vancouver, ISO, and other styles
2

Hansen, Mary Jo. "Probability of Discrete Failures, Weibull Distribution." DigitalCommons@USU, 1989. https://digitalcommons.usu.edu/etd/7023.

Full text
Abstract:
The intent of this research and these is to describe the development of a series of charts and tables that provide the individual and cumulative probabilities of failure applying to the Weibull statistical distribution. The mathematical relationships are developed and the computer programs are described for deterministic and Monte Carlo models that compute and verify the results. Charts and tables reflecting the probabilities of failure for a selected set of parameters of the Weibull distribution functions are provided.
APA, Harvard, Vancouver, ISO, and other styles
3

Nielsen, Mark A. "Parameter Estimation for the Two-Parameter Weibull Distribution." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2509.

Full text
Abstract:
The Weibull distribution, an extreme value distribution, is frequently used to model survival, reliability, wind speed, and other data. One reason for this is its flexibility; it can mimic various distributions like the exponential or normal. The two-parameter Weibull has a shape (γ) and scale (β) parameter. Parameter estimation has been an ongoing search to find efficient, unbiased, and minimal variance estimators. Through data analysis and simulation studies, the following three methods of estimation will be discussed and compared: maximum likelihood estimation (MLE), method of moments estimation (MME), and median rank regression (MRR). The analysis of wind speed data from the TW Daniels Experimental Forest are used for this study to test the performance and flexibility of the Weibull distribution.
APA, Harvard, Vancouver, ISO, and other styles
4

Han, Yi Carpenter Mark. "Location-scale bivariate Weibull distributions for bivariate lifetime modeling." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2006%20Spring/master's/HAN_YI_21.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Crumer, Angela Maria. "Comparison between Weibull and Cox proportional hazards models." Kansas State University, 2011. http://hdl.handle.net/2097/8787.

Full text
Abstract:
Master of Science
Department of Statistics
James J. Higgins
The time for an event to take place in an individual is called a survival time. Examples include the time that an individual survives after being diagnosed with a terminal illness or the time that an electronic component functions before failing. A popular parametric model for this type of data is the Weibull model, which is a flexible model that allows for the inclusion of covariates of the survival times. If distributional assumptions are not met or cannot be verified, researchers may turn to the semi-parametric Cox proportional hazards model. This model also allows for the inclusion of covariates of survival times but with less restrictive assumptions. This report compares estimates of the slope of the covariate in the proportional hazards model using the parametric Weibull model and the semi-parametric Cox proportional hazards model to estimate the slope. Properties of these models are discussed in Chapter 1. Numerical examples and a comparison of the mean square errors of the estimates of the slope of the covariate for various sample sizes and for uncensored and censored data are discussed in Chapter 2. When the shape parameter is known, the Weibull model far out performs the Cox proportional hazards model, but when the shape parameter is unknown, the Cox proportional hazards model and the Weibull model give comparable results.
APA, Harvard, Vancouver, ISO, and other styles
6

Rodrigues, Cristiane. "Distribuições em série de potências modificadas inflacionadas e distribuição Weibull binominal negativa." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-28062011-095106/.

Full text
Abstract:
Neste trabalho, alguns resultados, tais como, função geradora de momentos, relações de recorrência para os momentos e alguns teoremas da classe de distribuições em séries de potencias modificadas (MPSD) proposta por Gupta (1974) e da classe de distribuições em séries de potências modificadas inflacionadas (IMPSD) tanto em um ponto diferente de zero como no ponto zero são apresentados. Uma aplicação do Modelo Poisson padrão, do modelo binomial negativo padrão e dos modelos inflacionados de zeros para dados de contagem, ZIP e ZINB, utilizando-se as técnicas dos MLGs, foi realizada para dois conjuntos de dados reais juntamente com o gráfico normal de probabilidade com envelopes simulados. Também foi proposta a distribuição Weibull binomial negativa (WNB) que é bastante flexível em análise de dados positivos e foram estudadas algumas de suas propriedades matemáticas. Esta é uma importante alternativa para os modelos Weibull e Weibull geométrica, sub-modelos da WNB. A demostração de que a densidade da distribuição Weibull binomial negativa pode ser expressa como uma mistura de densidades Weibull é apresentada. Fornecem-se, também, seus momentos, função geradora de momentos, gráficos da assimetria e curtose, expressoes expl´citas para os desvios médios, curvas de Bonferroni e Lorenz, função quantílica, confiabilidade e entropia, a densidade da estat´stica de ordem e expressões explícita para os momentos da estatística de ordem. O método de máxima verossimilhança é usado para estimar os parametros do modelo. A matriz de informação esperada ´e derivada. A utilidade da distribuição WNB está ilustrada na an´alise de dois conjuntos de dados reais.
In this paper, some result such as moments generating function, recurrence relations for moments and some theorems of the class of modified power series distributions (MPSD) proposed by Gupta (1974) and of the class of inflated modified power series distributions (IMPSD) both at a different point of zero as the zero point are presented. The standard Poisson model, the standard negative binomial model and zero inflated models for count data, ZIP and ZINB, using the techniques of the GLMs, were used to analyse two real data sets together with the normal plot with simulated envelopes. The new distribution Weibull negative binomial (WNB) was proposed. Some mathematical properties of the WNB distribution which is quite flexible in analyzing positive data were studied. It is an important alternative model to the Weibull, and Weibull geometric distributions as they are sub-models of WNB. We demonstrate that the WNB density can be expressed as a mixture of Weibull densities. We provide their moments, moment generating function, plots of the skewness and kurtosis, explicit expressions for the mean deviations, Bonferroni and Lorenz curves, quantile function, reliability and entropy, the density of order statistics and explicit expressions for the moments of order statistics. The method of maximum likelihood is used for estimating the model parameters. The expected information matrix is derived. The usefulness of the new distribution is illustrated in two analysis of real data sets.
APA, Harvard, Vancouver, ISO, and other styles
7

Reis, Thaís Carolina Santos dos. "Extensões da Distribuição Weibull Aplicadas na Análise de Séries Climatológicas /." Presidente Prudente, 2017. http://hdl.handle.net/11449/152391.

Full text
Abstract:
Orientador: Josmar Mazucheli
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 certa magnitude sejam igualados ou excedidos em T anos. O inverso desta probabilidade é chamado de período de retorno, sendo esta uma medida de extrema importância na avaliação de riscos associados a fenômenos climatológicos. Em princípio, qualquer distribuição de probabilidade com suporte nos números reais positivos pode ser utilizada na descrição do comportamento de séries fluviométricas, pluviométricas, eólicas, entre outras. Em se tratando de séries pluviométricas, formadas, por exemplo, pelas pluviosidades diárias, decendiais, mensais, trimestrais e anuais, as distribuições Gama e Weibull são as mais utilizadas. Nos últimos anos, a partir de métodos específicos, uma infinidade de novas distribuições vêm sendo propostas para a análise de observações contínuas e estritamente positivas, cujas aplicações, em sua grande maioria, restringem-se a dados de sobrevivência e confiabilidade. Nesta dissertação de Mestrado, foram avaliad... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: In the climatological series analysis, a methodology known as “frequency analysis” begins, after the validity of some assumptions, by choice and adjustment of a probability distribution. The most important step of this analysis is the choice or selection of probability distribution that best describes the true behavior of the variable under study. Once a probability distribution, that is well adjusted according to one or several criteria, is adopted, it is of interest, for example, to estimate a probability of events of a certain magnitude that are matched or exceeded in T years. The opposite of this probability is called a return period, which is a measure of extreme importance in the evaluation of risks associated with climatological phenomena. In principle, any probability distribution supported by positive real numbers can be used to describe the behavior of fluviometric, pluviometric and wind series, among others. When it comes to the case of rainfall series, formed, for example, by daily, decendial, monthly, quarterly and annual rainfall, the Gamma and Weibull Distributions are more used. In recent years, from specific methods, a plethora of new distributions are being proposed for an analysis of continuous and strictly positive observations, which applications, for the most part, are restricted to survival and reliability data. In this Master’s dissertation, the performances of the Odd Weibull, Marshall-Olkin Weibull, Exponentiated Weibull and Transmutated Weibull Dist... (Complete abstract click electronic access below)
Mestre
APA, Harvard, Vancouver, ISO, and other styles
8

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/.

Full text
Abstract:
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 amostra e porcentagem de censuras, varia simulações foram feitas para avaliar a distribuição empírica do resíduo deviance modificado e comparado coma distribuição normal padrão. Esses estudos sugerem que a distribuição empírica do resíduo devianve modificado para o modelo de regressão log-Weibull modificado com dados censurados aproxima-se de uma dis- tribuição normal padrão. Finalmente analisamos um conjunto de dados utilizando o modelo de regressão log-Weibull modificado. Uma nova distribuição de quatro parâmetros é definida para modelar dados de tempo de vida. Algumas propriedades da distribuição é discutida, assim como ilustramos com exemplos a aplicação dessa nova distribuição. Palavras-chaves: Modelo de regressão; Distribuição Weibull modificada; Distribuição weibull modificada generalizada; Análise de sensibilidade; Dados censurados; Análise de resíduo
In this paperwork are proposed a regression model considering the modified Weibull distribution. This distribution can be used to model bathtub-shaped failure rate functions. Assuming censored data, we consider a classic and Jackknife estimator for the parameters of the model. We derive the appropriate matrices for assessing local influence on the parameter estimates under diferent perturbation schemes and we also present some ways to perform global influence. Besides, for diferent parameter settings, sample sizes and censoring percentages, various simulations are performed and the empirical distribution of the deviance modified residual is displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extend for a martingale-type residual in log-modifiedWeibull regression models with censored data. Finally, we analyze a real data set under log-modified Weibull regression models. A diagnostic analysis and a model checking based on the deviance modified residual are performed to select an appropriate model. A new four-parameter distribution is introduced. Various properties the new distribution are discussed. Illustrative examples based on real data are also given.
APA, Harvard, Vancouver, ISO, and other styles
9

Watkins, Adam Christopher. "RADIATION INDUCED TRANSIENT PULSE PROPAGATION USING THE WEIBULL DISTRIBUTION FUNCTION." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/theses/811.

Full text
Abstract:
In recent years, studying soft errors has become an issue of greater importance. There have been many methods developed that estimate the Soft Error Rate. Those methods are either deterministic or statistical. The proposed deterministic model aims to improve Soft Error Rate estimation by accurately approximating the generated pulse and all subsequent pulses. The generated pulse is approximated by a piecewise function consisting of two Weibull cumulative distribution functions. This method is an improvement over existing methods as it offers high accuracy while requiring less pre-characterization. The proposed algorithm reduces pre-characterization by allowing the beta Weibull parameter to be calculated during runtime using gate parameters such as the gate delay.
APA, Harvard, Vancouver, ISO, and other styles
10

Abeyratne, Anura T. "Comparison of k-Weibull populations under random censoring /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9737910.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Weibull distribution"

1

Dodson, Bryan. Weibull analysis. Milwaukee, Wis: ASQC Quality Press, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dodson, Bryan. Weibull analysis. Milwaukee, Wis: ASQC Quality Press, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Murthy, D. N. P. Weibull models. Hoboken, N.J: J. Wiley, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

The Weibull distribution: A handbook. Boca Raton, Fla: Chapman & Hall/CRC, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Abernethy, Robert B. The new Weibull handbook. 3rd ed. North Palm Beach, Fla: R.B. Abernethy, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Abernethy, Robert B. The new Weibull handbook. 2nd ed. North Palm Beach, Fla: R.B. Abernethy, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

McCool, John. Using the Weibull distribution: Reliability, modeling, and inference. Hoboken, N.J: John Wiley & Sons, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Yuhai, Mao, and Institution of Electrical Engineers, eds. Weibull radar clutter. London, UK: P. Peregrinus Ltd. on behalf of the Institution of Electrical Engineers, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

McCool, John. Using the Weibull distribution: Reliability, modeling, and inference. Hoboken, N.J: John Wiley & Sons, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Savage, M. Transmission overhaul estimates for partial and full replacement at repair. [Washington, DC]: National Aeronautics and Space Administration, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Weibull distribution"

1

Singh, Vijay P. "Weibull Distribution." In Entropy-Based Parameter Estimation in Hydrology, 184–201. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1431-0_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Lai, Chin-Diew. "Weibull Distribution." In Generalized Weibull Distributions, 1–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39106-4_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Padgett, William J. "Weibull Distribution." In International Encyclopedia of Statistical Science, 1651–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_611.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sekine, Matsuo. "Weibull Distribution in Radar Polarimetry." In Direct and Inverse Methods in Radar Polarimetry, 977–88. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-010-9243-2_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hasofer, A. M. "A Matrix-Valued Weibull Distribution." In Probabilistic Methods in the Mechanics of Solids and Structures, 11–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82419-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nguyen-Schäfer, Hung. "Reliability Using the Weibull Distribution." In Computational Design of Rolling Bearings, 141–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27131-6_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Okagbue, Hilary I., Muminu O. Adamu, Abiodun A. Opanuga, Jimevwo G. Oghonyon, and Patience I. Adamu. "3-Parameter Weibull Distribution: Ordinary Differential Equations." In Transactions on Engineering Technologies, 377–88. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2191-7_27.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Jui-Pin. "Earthquake Recurrence Law and the Weibull Distribution." In Encyclopedia of Earthquake Engineering, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36197-5_98-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wang, Jui-Pin. "Earthquake Recurrence Law and the Weibull Distribution." In Encyclopedia of Earthquake Engineering, 800–806. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35344-4_98.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ali Quadri, Sarfraz, Dhananjay R. Dolas, and Varsha D. Jadhav. "Weibull Distribution Parameters Estimation Using Computer Software." In Artificial Intelligence in Information and Communication Technologies, Healthcare and Education, 213–19. New York: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003342755-21.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Weibull distribution"

1

Magfira, D. A., D. Lestari, and S. Nurrohmah. "Weibull Lindley distribution." In PROCEEDINGS OF THE 6TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2020 (ISCPMS 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0059262.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mktof, Abass Habib, Nabeel J. Hassan, and Hassan Kamil Jassim. "Weibull Lindley Pareto distribution." In 3RD INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0073672.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Renyan Jiang and Tianjun Wang. "Log-Weibull distribution as a lifetime distribution." In 2013 International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering (QR2MSE). IEEE, 2013. http://dx.doi.org/10.1109/qr2mse.2013.6625694.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Basavalingappa, Adarsh, Jennifer M. Passage, Ming Y. Shen, and J. R. Lloyd. "Electromigration: Lognormal versus Weibull distribution." In 2017 IEEE International Integrated Reliability Workshop (IIRW). IEEE, 2017. http://dx.doi.org/10.1109/iirw.2017.8361224.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Caron, Renault, Adriano Polpo, Paul M. Goggans, and Chun-Yong Chan. "Binary data regression: Weibull distribution." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2009. http://dx.doi.org/10.1063/1.3275613.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Al-Noor, Nadia Hashim, Salah Hamza Abid, and Mohammad Abd Alhussein Boshi. "On the exponentiated Weibull distribution." In THIRD INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5136220.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Adnan, Hind, Nabeel J. Hassan, and Hassan Kamil Jassim. "The Weibull Lindley Rayleigh distribution." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0117291.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Podeang, Krittaya, and Winai Bodhisuwan. "Two-sided Topp-Leone Weibull distribution." In PROCEEDINGS OF THE 13TH IMT-GT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND THEIR APPLICATIONS (ICMSA2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5012253.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Abid, Salah Hamza, Nadia Hashim Al-Noor, and Mohammad Abd Alhussein Boshi. "On the generalized inverse Weibull distribution." In CURRENT TRENDS IN RENEWABLE AND ALTERNATE ENERGY. Author(s), 2019. http://dx.doi.org/10.1063/1.5095087.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Weibull distribution"

1

Evans, James W., Richard A. Johnson, and David W. Green. Forest Products Laboratory contributions to the use of Weibull distribution in wood engineering. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2019. http://dx.doi.org/10.2737/fpl-gtr-271.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Verrill, Steve P., James W. Evans, David E. Kretschmann, and Cherilyn A. Hatfield. Small Sample Properties of Asymptotically Efficient Estimators of the Parameters of a Bivariate Gaussian–Weibull Distribution. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2012. http://dx.doi.org/10.2737/fpl-rp-667.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Verrill, Steve P., David E. Kretschmann, and James W. Evans. Maximum likelihood estimation of the parameters of a bivariate Gaussian-Weibull distribution from machine stress-rated data. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2016. http://dx.doi.org/10.2737/fpl-rp-685.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Laney, Culbert B. Transformation and Self-Similarity Properties of Gamma and Weibull Fragment Size Distributions. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ada624878.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Weibull distribution' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography