2026-06-05T19:23:14Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/153812026-02-03T12:05:27Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Aguilera-Venegas, Gabriel
author
Galán-García, José Luis
author
Galán-García, María Ángeles
author
Padilla-Domínguez, Yolanda Carmen
author
Rodríguez-Cielos, Pedro
author
Rodríguez-Cielos, Ricardo
2018-03-12T10:27:36Z
2018-03-12T10:27:36Z
2018-03-12
https://hdl.handle.net/10630/15381
Simulations are nowadays a very important way of analyzing new improvements in different areas before the physical implementation, which may require hard resources which could only be affronted in case of a high probability of success. The use of random samples from different distributions are a must in simulations.
In this talk we introduce new Stata functions for generating random samples from continuous and discrete distributions that are not considered in the defined Stata random-number generation functions. In addition, we will also introduce new Stata functions for generating random samples as an alternative of the build-in Stata functions.
The goodness of the generated samples will be checked using the mean squared error (MSE) of the differences between the frequencies of the sample and the theoretical expected ones. We will also provide bar charts which will allow the user to compare graphically the sample with the exact distribution function of the random distribution which is being sampled.
eng
Estadística - Proceso de datos
Stata (Programa de ordenador)
Random samples generation with Stata from continuous and discrete distributions
conference output
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URL
https://riuma.uma.es/bitstreams/5ad6950e-33a5-4043-815e-dcd0bc895e7c/download
File
MD5
09db79fa6c6974c25146d0aa30fb2297
128866
application/pdf
Random samples generation with Stata from continuous and discrete distributions.pdf