يعرض 1 - 20 نتائج من 75 نتيجة بحث عن '"distribución bivariada"', وقت الاستعلام: 0.55s تنقيح النتائج
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    Academic Journal
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    Dissertation/ Thesis

    المؤلفون: Aranda Domingo, José Ángel

    المساهمون: University/Department: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient

    Thesis Advisors: Marco Segura, Juan Bautista

    المصدر: Riunet

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    Dissertation/ Thesis

    المساهمون: University/Department: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient

    Thesis Advisors: Marco Segura, Juan Bautista

    المصدر: Riunet

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    Academic Journal
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    Dissertation/ Thesis

    المساهمون: Vergara Cardozo, Sandra, Martínez Flórez, Guillermo

    وصف الملف: xii, 68 páginas; application/pdf

    Relation: Ahmed, S., Castro-Kuriss, C., Leiva, V., Flores, E., and Sanhueza, A. (2010). Truncated version of the birnbaum–saunders distribution with an application in financial risk. Pakistan Journal of Statistics, 26:293–311; Arnold, B., Castillo, E., and Sarabia, J. (2002). Conditionally specified multivariate skewed distributions. The Indian Journal of Statistics, 64(2):206–226. http: //www.jstor.org/stable/25051391; Athayde, E. (2017). A characterization of the birnbaum–saunders distribution. REVSTAT Statistical Journal, 15:333–354; Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian Journal of Statistics, 12(2):171–178. http://www.jstor.org/stable/ 4615982; Barlow, R. and Proschan, F. (1965). Mathematical theory of reliability. Wiley, 1; Barros, M., Galea, M., Gonzalez, M., and Leiva, V. (2010). Infuence diagnostics in the tobit censored response model. Stat. Methods Appl., 19:379–397. https: //doi.org/10.1007/s10260-010-0135-y; Bartlett, M. and Kendall, D. (1946). The statistical analysis of variance-heterogeneity and the logarithmic transformation. Journal of the Royal Statistical Society: Series B, 8(1):128–138. https://doi.org/10.2307/2983618; Bebbington, M., Lai, C., and Zitikis, R. (2008). A proof of the shape of the birnbaum–saunders hazard rate function. Mathematical Scientist, 33:49–56; Birnbaum, Z., Esary, J., and Marshall, A. (1966). Stochastic characterization of wear-out for components and systems. Annals of Mathematical Statistics, 37:816–825. https://www.jstor.org/stable/2238571; Birnbaum, Z. W. and Saunders, S. (1969). A new family of life distributions. Journal of Applied Probability, 6(2):319–327. https://doi.org/10. 2307/3212003; Cepeda Cuervo, E., Achcar, J., and Garrido Lopera, B. (2014). Bivariate beta regression models: Joint modeling of the mean, dispersion and association parameters. Journal of Applied Statistics, 41. https://doi.org/10.1080/02664763. 2013.847071; Chhikara, R. and Folks, J. (1977). The inverse gaussian distribution as a lifetime model. Technometrics, 19(4):461–468. https://doi.org/10.2307/ 1267886; Cook, D., Kieschnick, R., and McCullough, B. (2008). Regression analysis of proportions in finance with self selection. Journal of Empirical Finance, 15:860–867. https://doi.org/10.1016/j.jempfin.2008.02.001; Desmond, A. (1985). Stochastic models of failure in random environments. Statistical Society of Canada, 13(3):171–183. https://doi.org/10.2307/3315148; Davis, J. (1952). An analysis of some failure data. Journal of the American Statistical Association, 47:113–150. https://doi.org/10.2307/2280740; Dupuis, D. and Mills, J. (1998). Robust estimation of the birnbaum-saunders distribution. IEEE Transactions on Reliability, 47:88–95; Esary, J. and Marshall, A. (1973). Shock models and wear processes. The Annals of Probability, 1:627–649. https://www.jstor.org/stable/2959434; Farias, R. and Lemonte, A. (2011). Bayesian inference for the birnbaum–saunders nonlinear regression model. Statistical Methods and Applications, 20:423–438. https://doi.org/10.1007/s10260-011-0165-0; Díaz, J. and Leiva, V. (2005). A new family of life distributions based on the elliptically contoured distributions. Journal of Statistical Planning and Inference, 128:445–457. https://www.sciencedirect.com/science/article/pii/ S0378375804000072; Díaz-García, J. and Domínguez-Molina, J. (2006). Some generalisations of birnbaum–saunders and sinh-normal distributions. International Mathematical Forum, 1:1709–1727. http://dx.doi.org/10.12988/imf.2006. 06146; Freeman, D. (2007). Drunk driving legislation and traffic fatalities: New evidence on bac 08 laws. Contemporary Economic Policy 25, 293–308; Freudenthal, A. and Shinozuka, M. (1961). Structural Safety Under Conditions of Ultimate Load Failure and Fatigue. Wright Air Development Division; Galea, M., Leiva, V., and Paula, G. (2004). Influence diagnostics in log-birnbaum–saunders regression models. Journal of Applied Statistics, 31:1049–1064. https://doi.org/10.1080/0266476042000280409; Garcia, F., Uribe, M., Leiva, V., and Aykroyd, G. (2017). Birnbaumsaunders spatial modelling and diagnostics applied to agricultural engineering data. Stochastic Environmental Research and Risk Assessment, 31:105–124. https://doi.org/ 10.1007/s00477-015-1204-4; Guiraud, P., Leiva, V., and Fierro, R. (2009). A non-central version of the birnbaum–saunders distribution for reliability analysis. IEEE Transactions on Reliability., 58:152–160. https://ieeexplore.ieee.org/document/4781589; Gupta, A. and Nadarajah, S. (2004). Handbook of Beta Distribution and Applications. CRC Press; Kumaraswamy, P. (1980). A generalized probability density function for double-bounded random processes. Journal of Hydrology, 46:79–88. https://doi. org/10.1016/0022-1694(80)90036-0; Kundu, D. (2015). Bivariate log-birnbaum-saunders distribution. Statistics, 49:900–917. https://doi.org/10.1080/02331888.2014.915840; Kundu, D., N. Balakrishnan, B., and Jamalizadeh, A. (2010). Bivariate birnbaum–saunders distribution and associated inference. Journal of Multivariate Analysis, 101:113–125. https://doi.org/10.1016/j.jmva.2009.05.005; Kundu, D., Narayanaswamy, B., and Jamalizadeh, A. (2013). Generalized multivariate birnbaum–saunders distributions and related inferential issues. Journal of Multivariate Analysis, 40:230–244. https://doi.org/10.1016/j.jmva.2012.10.017; Leiva, V. (2016). The Birnbaum Saunders distribution, volume 1. Elsevier; Leiva, V., Riquelme, M., Balakrishnan, N., and Sanhueza, A. (2006). A new fatigue life model based on the family of skew-elliptical distributions. Stat. Theory Methods, 35:229–244; Leiva, V., Riquelme, M., Balakrishnan, N., and Sanhueza, A. (2008). Lifetime analysis based on the generalized birnbaum–saunders distribution. Computational Statistics Data Analysis, 52:2079–2097. https://doi.org/10.1016/j.csda.2007.07. 003; Leiva, V., Soto, G., Cabrera, E., and Cabrera, G. (2011). Nuevas cartas de control basadas en la distribución Birnbaum-Saunders y su implementación. Revista Colombiana de Estadística, 34:147–176; Leiva, V., Vilca-Labra, F., Balakrishnan, N., and Sanhueza, A. (2010). A skewed sinh-normal distribution and its properties and application to air pollution. Communications in Statistics - Theory and Methods, 39:426–443. https://doi.org/10. 1080/03610920903140171; Lemonte, A. (2013). Multivariate birnbaum–saunders regression model. Journal of Statistical Computation and Simulation, 83(12):2244–2257. https://doi.org/ 10.1080/00949655.2012.688054; Lemonte, A. (2016). A note on the fisher information matrix of the birnbaum– saunders distribution. Journal of Statistical Theory and Applications, 15:196–205. https://doi.org/10.2991/jsta.2016.15.2.9; Lemonte, A. and Moreno-Arenas, G. (2019). On a multivariate regression model for rates and proportions. Journal of Applied Statistics, 46:1084–1106. https://doi.org/10.1080/02664763.2018.1534945; Lemonte, A. J. (2012). A log- birnbaum saunders regression model with asymmetric errors. Journal of Statistical Computation and Simulation, 82:1775–1787. https://doi.org/10.1080/00949655.2011.595715; Lieblein, J. (1956). Statistical investigation of the fatigue life of deep ball bearing. Journal of National Bureau of Standards, 57:273–316; Martínez-Flórez, G. and Tovar-Falón, R. (2021). New regression models based on the unit-sinh-normal distributions: Properties, inference, and applications. Mathematics, 9(11), 1231. https://doi.org/10.3390/math9111231; Martínez-Flórez, G., Azevedo, R., and Moreno-Arenas, G. (2017). Multivariate log-birnbaum–saunders regression models. Communications in Statistics - Theory and Methods, 46:10166–10178. https://doi.org/10.1080/03610926. 2016.1231818; Mazucheli, J., Leiva, V., Alves, B., and Menezes, A. (2021). A new quantile regression for modeling bounded data under a unit birnbaum- saunders distribution with aplplications in medicine and politics. Symmetry, 13(4):682. https: //doi.org/10.3390/sym13040682; Martínez-Flórez, G., Vergara-Cardozo, S., Tovar-Falón, R., and Rodriguez-Quevedo, L. (2023). The multivariate skewed log-birnbaum saunders distribution and its associated regression model. Mathematics, 11(5), 1095. http: //dx.doi.org/10.3390/math11051095; Mazucheli, J., Menezes, A., and Dey, S. (2018a). The unit birnbaum- saunders distribution with applications. Chilean Journal of Statistics, 9:47– 57; Mazucheli, J., Menezes, F., and Ghitany, M. (2018b). The unit weibull distribution and associated inference. Journal of Applied Probability and Statistics, 13:1–22; Miner, M. (1945). Cumulative damage in fatigue. Journal of Applied Mechanics, 12(3):A159–A164. https://doi.org/10.1115/1.4009458; Nelson, W. and Hahn, G. (1972). Linear estimation of a regression relationships from censored data, part i-simple methods and their applications. Technometrics, 14:247–269. https://doi.org/10.1080/00401706.1972.10488912; Ortega, E., Bolfarine, H., and Paula, G. (2003). Infuence diagnostics in generalized log-gamma regression models. Computational Statistics Data Analysis, 42:165–186. https://doi.org/10.1016/S0167-9473(02)00104-4; Owen, W. and Padgett, W. (1999). Accelerated test models for system strength based on birnbaum–saunders distribution. Lifetime Data Analysis, 5(2):133–147. https://doi.org/10.1023/A:1009649428243; R Core Team (2022). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www. R-project.org/; Rieck, J. and Nedelman, J. (1991). A log-linear model for the birnbaum–saunders distribution. Technometrics, 33(1):51–60. https://doi.org/ 10.2307/1269007; Shea, J. and Brown, K. (2022). Wooldridge: 115 data sets. In Introductory Econometrics: A Modern Approach, 7e, R package version 1.4-2; Vilca, F., Narayanaswamy, B., and C., B. (2014). A robust extension of the bivariate birnbaum–saunders distribution and associated inference. Journal of Multivariate Analysis, 35:418–435. https://doi.org/10.1016/j.jmva.2013.11.005; Volodin, I. and Dzhungurova, O. (2000). On limit distribution emerging in the generalized birnbaum–saunders model. Journal of Mathematical Science, 99:1348–66. https://doi.org/10.1007/BF02674095; Xie, F. and Wei, B. (2007). Diagnostics analysis for logbirnbaum– saunders regression models. Computational Statistics y Data Analysis, 51:4692– 4706. https://doi.org/10.1016/j.csda.2006.08.030; Zelen, M. and Dannemiller, M. (1961). The robustness of life testing procedures derived from the exponential distribution. Technometrics, 3(1):29–49. https://doi.org/10.2307/1266475; Lemonte, A., Martínez-Florez, G., and Moreno-Arenas, G. (2015b). Multivariate birnbaum–saunders distribution: Properties and associated inference. Journal of Statistical Computation and Simulation, 85:374–392. https://doi.org/10.1080/ 00949655.2013.823964; Lemonte, A., Martínez, G., and Moreno-Arenas, G. (2015a). Multivariate birnbaum–saunders distribution: properties and associated inference. Journal of Statistical Computation and Simulation, 1:374–392. https://doi.org/10.1080/ 00949655.2013.823964; Martínez-Flórez, G., Bolfarine, H., and Gómez, H. (2015). Doubly censored power-normal regression models with inflation. Journal of Theoretical and Applied Statistics, 24:265–286. https://doi.org/10.1007/s11749-014-0406-2; Kao, J. (1959). A graphical estimation of mixed weibull parameters in life-testing of electron tubes. Technometrics, 1:389–407. https://doi.org/10.2307/1266719; https://repositorio.unal.edu.co/handle/unal/83771; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

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    وصف الملف: application/pdf

    Relation: https://revistas.unal.edu.co/index.php/estad/article/view/59404; Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística; Revista Colombiana de Estadística; Koutoumanou, Eirini and Wade, Angie and Cortina-Borja, Mario (2017) Local dependence in bivariate copulae with Beta marginals. Revista Colombiana de Estadística, 40 (2). pp. 281-296. ISSN 2389-8976; https://repositorio.unal.edu.co/handle/unal/66497; http://bdigital.unal.edu.co/67525/

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    Academic Journal

    المؤلفون: Özel, Gamze

    المصدر: Revista Colombiana de Estadística; Vol. 36 Núm. 1 (2013); 59-77 ; Revista Colombiana de Estadística; Vol. 36 No. 1 (2013); 59-77 ; 2389-8976 ; 0120-1751

    وصف الملف: application/pdf; text/html

    Relation: https://revistas.unal.edu.co/index.php/estad/article/view/39588/41550; https://revistas.unal.edu.co/index.php/estad/article/view/39588/61777; Agresti, A. (2002), Categorical Data Analysis, John Wiley & Sons, New Jersey.; Ata, N. & Özel, G. (2012), ‘Survival functions for the frailty models based on the discrete compound Poisson process’, Journal of Statistical Computation and Simulation (Online Published) . DOI:10.1080/00949655.2012.679943.; Chen, C. W., Randolph, P. & Tian-Shy, L. (2005), ‘Using CUSUM control schemes for monitoring quality levels in compound Poisson production environments: the geometric Poisson process’, Quality Engineering 17, 207–217.; Christophersen, A. & Smith, E. G. C. (2000), A global model for aftershock behaviour, Proceedings of the 12th World Conference on Earthquake Engineering. Paper 0379, Auckland, New Zealand.; Getis, A. (1974), Representation of spatial point processes by Pólya methods, Proceedings of the 1972 meeting of the IGU Commission on Quantitative Geography. Montreal, Canada.; Gudowska-Nowak, E., Lee, R., Nasonova, E., Ritter, S. & Scholz, M. (2007), ‘Effect of let and track structure on the statistical distribution of chromosome aberrations’, Advances in Space Research 39, 1070–AS1075.; Hesselager, O. (1996), ‘Recursions for certain bivariate counting distributions and their compound distributions’, ASTIN Bulletin 26, 35–52.; Kocherlakota, S. & Kocherlakota, K. (1997), Bivariate Discrete Distributions, Wiley, NewYork.; Meintanis, S. G. (1997), ‘A new goodness of fit test for certain bivariate distributions applicable to traffic accidents’, Statistical Methodology 4, 22–34.; Neyman, J. (1939), ‘On a new class of contagious distributions applicable in entomology and bacteriology’, Annals of Mathematical Statistics 10, 35–57.; Özel, G. (2011a), ‘A bivariate compound Poisson model for the occurrence of foreshock and aftershock sequences in Turkey’, Environmetrics 22(7), 847–856.; Özel, G. (2011b), ‘On certain properties of a class of bivariate compound Poisson distributions and an application to earthquake data’, Revista Colombiana de Estadistica 34(3), 545–566.; Özel, G. & Inal, C. (2008), ‘The probability function of the compound Poisson process and an application to aftershock sequences’, Environmetrics 19, 79–85.; Özel, G. & Inal, C. (2010), ‘The probability function of a geometric Poisson distribution’, Journal of Statistical Computation and Simulation 80, 479–487.; Özel, G. & Inal, C. (2012), ‘On the probability function of the first exit time for generalized Poisson processes’, Pakistan Journal of Statistics 28(1), 27–40.; Robin, S. (2002), ‘A compound Poisson model for word occurrences in DNA sequences’, Applied Statistics 51, 437–451.; Rosychuk, R. J., Huston, C. & Prasad, N. G. N. (2006), ‘Spatial event cluster detection using a compound Poisson distribution’, Biometrics 62, 465–470.; Sundt, B. (1992), ‘On some extensions of Panjer’s class of counting distributions’, ASTIN Bulletin 22, 61–80.; Wienke, A. (2011), Frailty Model in Survival Analysis, Chapman and Hall. Wienke, A., Ripatti, S., Palmgren, J. & Yashin, A. (2010), ‘A bivariate survival model with compound Poisson frailty’, Statistics in Medicine 29(2), 275–283.; https://revistas.unal.edu.co/index.php/estad/article/view/39588