Main presenter
Co-presenter(s)
Name :
Dr. Jose Luis Galan
Name:
Dr. Gabriel Aguilera
E-mail:
jl_galan@uma.es
E-mail:
gabri@ctima.uma.es
Institution or
Company:
University of Malaga
Name:
Dr. Yolanda Padilla
Department:
Applied Mathematics
E-mail:
ypadilla@ctima.uma.es
City:
Malaga
Name:
Mr. Pedro Rodriguez
State/Province:
Malaga
E-mail:
prodriguez@uma.es
Country:
Spain
Name:
Type of
presentation:
Lecture : 25 minutes.
E-mail:
Conference
strand and number:
Derive & TI-CAS ,
Number:
D10
Schedule:
Room:
Saturday, 12h00
1350
Related website:
Title of
presentation:
RANDOM_DISTRIBUTIONS.MTH: RANDOM SAMPLES FROM DISTRIBUTIONS WITH DERIVE
Abstract:
In this paper the file RANDOM_DISTRIBUTIONS.mth is presented. This file has been developed for generating random values from main continuous and discrete distributions. The macros contained in the file can be grouped within the following blocks: - Random values from uniform distribution: the macro RANDOM_UNIFORM returns an uniform random deviate between 0 and 1. This macro is the base of the other generations. Different algorithms have been used to develop this macro in order to improve the DERIVE RANDOM function. - Random values from discrete distributions: some generic algorithms for any discrete distribution have been implemented as well as specific algorithms for some discrete distributions (Uniform, Poisson, Binomial, Geometric, Negative Binomial, ...). - Random values from continuous distributions: specific algorithms for main continuous distributions have been implemented (Uniform, Exponential, Normal, Lognormal, Cauchy, Chi-square, Student’s t, F, Gamma, Beta, ...). The use of this utility file is useful for simulating any process which follows a specific distribution. Moreover, this file can improve the teaching and learning process in Computational Statistic subjects.