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0 votes
0 answers
261 views

Monte Carlo simulations and Central Limit theorem

I am simulating the revenues of a portfolio of items using one input variable. This variable is randomly extracted from a normal distribution n times, where n is the number of Monte Carlo simulations. ...
floyd123's user avatar
1 vote
1 answer
53 views

Choosing a proposal density g(x) for $ f(x)= {\Large \frac{e^{x}}{(e-1)} }$ [closed]

In finding an proposal distribution function $g(x)$ for the following function: $ f(x)= {\Large \frac{e^{x}}{(e-1)} }$ where $0 \leq x \leq 1$ Tested with $$x^2+1, 1/x+1$$ and other variations, but ...
user895583's user avatar
2 votes
1 answer
2k views

Why do confidence intervals width increase when sample size increases "a bit"?

I'll try to explain better. I sampled a LogNormal random variate and I extracted 12001 and 12002 samples (with same initial seed for Random Number Generator). In the first case the half width of ...
miticollo's user avatar
  • 175
18 votes
3 answers
2k views

Expectation of the product of iid random variables

If we have iid random variables $X_1,X_2,...,X_N$ with $\mathbb{E}X_i=\mu$, is it true that $\mathbb{E}\prod X_i=\mu^N$? I had no doubt that this is true, until I tried it out with Python, using ...
whoknowsnot's user avatar
1 vote
0 answers
36 views

Is there any methodology to generate the non negative and non normal random data based on descriptive statistics of probability of lossing the game

I would like to generate non-negative random data (between 0 and 1) and non-normal. Is there any methodology to generate the random data based on the below distribution? Below are the descriptive ...
StatsUser's user avatar
  • 1,819
4 votes
1 answer
62 views

Understanding a Gaussian Sampler

I recently learned that you can generate a Gaussian sampler from a uniform sampler. One such method is the Box-Muller Transform. I naïvely implemented this transform in the following code: ...
jregalad's user avatar
  • 165
3 votes
1 answer
101 views

Significant bias introduced into simple simulation

Introduction Service is allocated to an infinite source of customers i.e. there is always a service in progress. The duration of the $i^{th}$ service is generally distributed $\Delta_i \sim F_{\Delta}$...
Dylan Solms's user avatar
2 votes
1 answer
32 views

File Downloading Time Modeling

In my simulation model, I need to consider the time that is spent to download a file as a random variable. What is the best distribution for such a random variable? Is Log-Normal Distribution a good ...
Кирилл Волков's user avatar
1 vote
0 answers
41 views

Generating random variates knowing the density function

Let's consider a random variable that is following the distribution with the density function as below: $$f(x) = \begin{cases} \sum_{i=1}^{\infty} 3.5i(0.3)^{i-1}e^{-5ix} & \text{for $x>0$} \\ ...
bajun65537's user avatar
0 votes
0 answers
17 views

Calculating the sample cumulative distribution function for a Kolmogrov-Simulation test to examine the goodness of fit with given data [duplicate]

I have sample data for 'Times between successive crashes of a computer system' which is for a 6 month period and the data is given in hours. The data in brief is : 1,10,20,30,40,52..... I need to use ...
Kumaran's user avatar
1 vote
1 answer
73 views

Monte Carlo simulation for grouped averages [duplicate]

Assume we have $N$ random variables $X_1, \ldots, X_N$. As an example, assume that these random variables describe test scores of $N$ students. I am interested in finding the distribution of average ...
yrx1702's user avatar
  • 710
1 vote
1 answer
654 views

Simulating realizations of joint Bernoulli distribution

Let $X$ and $Y$ be Bernoulli random variables with success probability $p$ and $q$ respectively, i.e., \begin{align*} X = \begin{cases} 1 & \text{with probability $p$} \\ 0 & \text{with ...
hkj447's user avatar
  • 447
7 votes
0 answers
61 views

Simulate correlate random variables with given marginal distribution where one is always larger

Is it possible to simulate pairs of random variables with a given marginal distribution and population correlation where one random variable is larger than the other? More formally, I need to simulate ...
Eli's user avatar
  • 2,672
1 vote
0 answers
32 views

Cross validation on unbalanced datasets using a simulation approach on a subset of data

Within my field I often end up using linear regression to look at two variables, normally how some factor (e.g. size) changes through time. I'm increasingly coming across datasets that are unbalanced ...
Thomas Moore's user avatar
4 votes
3 answers
1k views

Simulating values from a random variable that is a sum of other random variables

$X$ is $\mathcal N(0,4)$, $Y$ is $\mathcal N(0,5)$, $Z = X + Y$ I need to simulate 1000 values for each of these variables, $X$,$Y$,$Z$. I have simulated 1000 values for both $X$ and 1000 values for ...
Indigo's user avatar
  • 73

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