Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rogelio Ramos-Quiroga"'
Autor:
Graciela Gonzalez Farias, Roberto Vásquez Martínez, José Ulises Márquez Urbina, Rogelio Ramos Quiroga
Publikováno v:
Revista de Matemática: Teoría y Aplicaciones; Vol. 30 No. 1 (2023): Revista de Matemática: Teoría y Aplicaciones; 141-172
Revista de Matemática: Teoría y Aplicaciones; Vol. 30 Núm. 1 (2023): Revista de Matemática: Teoría y Aplicaciones; 141-172
Revista de Matemática; Vol. 30 N.º 1 (2023): Revista de Matemática: Teoría y Aplicaciones; 141-172
Portal de Revistas UCR
Universidad de Costa Rica
instacron:UCR
Revista de Matemática Teoría y Aplicaciones, Volume: 30, Issue: 1, Pages: 141-172, Published: JUN 2023
Revista de Matemática: Teoría y Aplicaciones; Vol. 30 Núm. 1 (2023): Revista de Matemática: Teoría y Aplicaciones; 141-172
Revista de Matemática; Vol. 30 N.º 1 (2023): Revista de Matemática: Teoría y Aplicaciones; 141-172
Portal de Revistas UCR
Universidad de Costa Rica
instacron:UCR
Revista de Matemática Teoría y Aplicaciones, Volume: 30, Issue: 1, Pages: 141-172, Published: JUN 2023
Different countries used the growth Gompertz function at the beginning of the COVID-19 pandemic to model the number of cumulative infected cases since it provides reasonable results. Such a model allows only one mode, but the pandemic evolution has e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae8fb3bc4218147698b75d1c0b99928b
https://revistas.ucr.ac.cr/index.php/matematica/article/view/50927
https://revistas.ucr.ac.cr/index.php/matematica/article/view/50927
Publikováno v:
Journal of Statistical Theory and Practice. 8:166-175
Sensitivity analysis of the optimal solution in response surface methodology is studied and an explicit form of the effect of perturbation of the regression coefficients on the optimal solution is obtained. The characterization of the critical point
Publikováno v:
Journal of Mathematical Modelling and Algorithms in Operations Research. 13:315-330
Considering the possible correlation between the characteristics (variables) in multivariate stratified random sampling, a modified Prekopa’s approach is suggested for the problem of optimum allocation in multivariate stratified random sampling. An
Publikováno v:
Optimization. 63:1665-1688
This work considers the allocation problem for multivariate stratified random sampling as a problem of integer non-linear stochastic multiobjective mathematical programming. With this goal in mind the asymptotic distribution of the vector of sample v
Publikováno v:
Statistica Neerlandica. 66:492-511
The allocation problem for multivariate stratified random sampling as a problem of stochastic matrix integer mathematical programming is considered, minimizing the estimated covariance matrix of estimated means subject to fixed cost or fixed total sa
Publikováno v:
Communications in Statistics - Theory and Methods. 36:1691-1703
In this article, we introduce the matrix extension of the closed skew-normal distribution and give two constructions for it: a marginal one and another based on hidden truncation. Important basic properties of the distribution are presented such as i
Publikováno v:
Computational Statistics & Data Analysis. 49:837-848
Considering the minimisation of an estimated second degree polynomial response surface model as a problem of stochastic programming, this article establishes the equivalent deterministic programs applying the so called E-model, V-model, P-model and m
Publikováno v:
Communications in Statistics - Theory and Methods. 30:827-835
We consider the optimization of a response surface given by a polynomial model. In this article the problem is stated as a stochastic optimization problem. For the first-order model, the E-Model technique is used to find the maximum and stationary po
Autor:
Rogelio Ramos-Quiroga, Yingshuo Shen
Publikováno v:
Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38dddda9b784d546c46292cd91375521
https://doi.org/10.1201/9780203492000.ch14
https://doi.org/10.1201/9780203492000.ch14
Skewness is an intrinsic characteristic in Stochastic Frontier Analysis (SFA), where it is used as a measure of technical inefficiency. We discuss the use of skew normality in SFA. We consider stochastic frontier analysis in the common setting Normal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82a30a6e2c968fab3a4c25f8725eacb7
https://doi.org/10.1201/9780203492000-13
https://doi.org/10.1201/9780203492000-13