Linked Questions

301
votes
16answers
102k views

Is normality testing 'essentially useless'?

A former colleague once argued to me as follows: We usually apply normality tests to the results of processes that, under the null, generate random variables that are only asymptotically or ...
326
votes
11answers
145k views

Explaining to laypeople why bootstrapping works

I recently used bootstrapping to estimate confidence intervals for a project. Someone who doesn't know much about statistics recently asked me to explain why bootstrapping works, i.e., why is it that ...
35
votes
6answers
6k views

Are all simulation methods some form of Monte Carlo?

Is there a simulation method that is not Monte Carlo? All simulation methods involve substituting random numbers into the function to find a range of values for the function. So are all simulation ...
28
votes
7answers
12k views

Good sources for learning Markov chain Monte Carlo (MCMC)

Any suggestions for a good source to learn MCMC methods?
15
votes
2answers
1k views

What are some important uses of random number generation in computational statistics?

How and why are random number generators (RNGs) important in computational statistics? I understand that randomness is important when choosing samples for many statistical tests to avoid bias towards ...
2
votes
3answers
15k views

Predicting future values with a regression model

I have a set of predictor variables and a target variable. I am really confused with regards to what method to use for forecasting the target variable. For example, my data set has monthly customer ...
2
votes
1answer
2k views

Method for constructing large data set from smaller data set?

Is there a method for creating a large data set from a smaller one? I have a data set of anthropometric variables (e.g. stature, leg length, arm length and so on) So I have 7 variables and 1774 ...
4
votes
1answer
153 views

Should I find this big parameter suspicious?

I have some kind of disagreement with a groupmate. We have some data, and we have to fit a loglogistic distribution. Our highest data point is less than 14,000,000. The average of our data is 231,316....
2
votes
0answers
241 views

Estimating variance of a function of multiple random variables?

What are some strategies for estimating the variance of a statistic that is an arbitrary function of multiple random variables? I am familiar with the Delta method which uses asymptotics to estimate ...
3
votes
2answers
57 views

What is the meaning of generating data from a probabilistic model such as a naive bayes classifier?

I am studying probabilistic modeling but I am stuck with the concept of generating data from the probabilistic model. Say I have built a naive bayes classification model, what is the point of ...