11/12/2022 0 Comments Estimacion puntual y por intervalo![]() A Erdely, MA Díaz-Viera (2012) Joint porosity-permeability stochastic simulation and spatial median regression by nonparametric copula modeling, book chapter in GI_Forum 2012: Geovisualization, Society and Learning, conference proceedings, pp. V Hernández-Maldonado, MA Díaz-Viera, A Erdely (2012) Joint porosity-permeability stochastic simulation by non-parametric copulas, chapter 11 in Mathematical and Numerical Modeling in Porous Media, (26 pp) CRC Press ISBN 978-7-7. A Erdely, MA Díaz-Viera, V Hernández-Maldonado (2012) Trivariate nonparametric dependence modeling of petrophysical properties, chapter 10 in Mathematical and Numerical Modeling in Porous Media, (9 pp) CRC Press ISBN 978-7-7. Statistical Methods and Applications 19 (4), 541-565. A Erdely, JM González-Barrios (2010) A nonparametric symmetry test for absolutely continuous bivariate copulas. eds), Lecture Notes in Statistics - Springer 198, pp. In: Copula Theory and Its Applications (P Jaworski et al. A Erdely, MA Díaz-Viera (2010) Nonparametric and semiparametric bivariate modeling of petrophysical porosity-permeability well log data. En: Teorías, Modelos y Aplicaciones de Matemáticas y Computación (PP Gonzalez y otros, editores) pp. JA Fresán, A Erdely, I Velázquez (2010) Un modelo SIR probabilístico. A Erdely (2009) Cópulas y dependencia de variables aleatorias: una introducción. A Erdely, JM González-Barrios, RB Nelsen (2008) Symmetries of random discrete copulas. Dubois et al., eds), Advances in Soft Computing - Springer 48, 118-125. In: Soft Methods for Handling Variability and Imprecision (D. A Erdely, JM González-Barrios (2008) A small-sample nonparametric independence test for the Archimedean family of bivariate copulas. A Erdely, JM González-Barrios (2008) Exact distribution under independence of the diagonal section of the empirical copula. Construction of families of copulas with given restrictions. A Erdely (2007) Diagonal properties of the empirical copula and applications. Carta Informativa de la Sociedad Matemática Mexicana 49, 1-4. A Erdely (2006) De la ecuación funcional de asociatividad de Abel a la dependencia de variables aleatorias. Communications in Statistics - Theory and Methods 35 (4), 649-659. A Erdely, JM González-Barrios (2006) On the construction of families of absolutely continuous copulas with given restrictions. Mhm.Funciones cópula y dependencia de variables aleatorias. If you solve this particular quantity will get the value as 0.1074. #Estimacion puntual y por intervalo plus#Formula that this We had plus or zero alpha by two into square root of P hat into one minus P had divided by and which is equals to 0.53 Plus or -1.96 into Square Rudolph 0.53 into 1 -0.53 Divided by 83 which is equal to 0.53 plus or minus. Substitute all the necessary values in double. In the standard normal table We'll get the value as 1.96. And the value of zero alpha by two is equal to zero of 0.5 divided by two which is equal to zero of 0.25, observe 0.0 to five. Therefore the value of alpha is one minus confidence level which is equal to one minus 0.95 which is equal to 0.5. Our next task is to obtain the value of zero Alpha by two we have to obtain the 95% confidence interval for the proportion. In this case the value of X is 44 n is 83. Confidence interval for the proportion can be obtained by the formula we had plus or minus zero alpha by two into square Rudolph we head into one minus period divided by and where is the sample proportion? And it is often by the formula X. We know that confidence interval is the range of value that consists of population parameters. ![]()
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