I need help with these R simulations
_______________________________________
The generation of pseudo-random numbers with uniform distribution [0.1]
can be done through a method called Congruencial Committee, which consists
the use of a recursive relationship of the type:
xi +1 = (a.xi + c) mod m
being a, c, and the positive integers m, c <m.
Discuss in light of possible values of a, c, my values seed x0
the behavior of the generator in order to obtain sequences
evenly distributed with cycles of large dimensions.
Tip: Write a program in R to implement the generator and
thus obtain different sequences depending on the values of a, c, d.
____________________________________
Write a program to deploy the generator
xi +1 = (25173 xi + 13,849) 65536 mod
and considering initial value x0 = 10000
obtain the
first 10 values generated
___________________________
Develop a program for simulation to estimate the probability of exit
1,2,3,4,5,6 each of the sides in the launch of a non-addict.
Then obtain and comment on the likelihood obtained considering the
simulation of 100, 1,000, 10,000 and 100,000 entries. Represents graphically
results.
______________________________
Get an algorithm and implement in order to generate variables
Random exponential function whose density is f (x) = lambda.e ^ [(-lambda) x].
Consider
the case where lambda = 1 and get a list of 10 values generated.
Tip: Use the method of generating investment and the R runif.
__________________________________
Let f (x) = 3x a density function of a continuous random variable
X with area defined in range [0, 2]. Apply the method of investment and
describe an algorithm to generate variables
random function of density. Implement the algorithm in the U.S. and proceed to
the generation of a sample of
Size 100. Estimate addition, the quantiles 2%, 10%, 25%, 50%, 90%, 95% and 99%
and compare them
with the theoretical quantiles.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
