All Questions
6
questions
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What is the resulting distribution of a data set that was originally normally distributed but has been quantized and had all negative values removed?
I am trying to benchmark a seasonal forecasting model and calculate not just the point forecasts but the forecast densities from the model.
To do this, I generated a simulated data set in the ...
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1
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3
answers
197
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Confused on normality assumption
I know that the sampling distribution of the mean can be assumed to be normal if N>30, but does this have an implication on the "30" itself (the sample data)?
I have three different time series with ...
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5
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4
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Why use parametric test at all if non parametric tests are 'less strict'
I have read from several sources, even in my undergrad courses, that parametric tests require the data to have a certain distribution, for instance normal, whilst non-parametric don't.
I have ...
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1
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1
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What if half of your data is not normally distributed? [closed]
My experiment is to test the different diets (Pk, Hg, BYD & Control) in order to check the development of insect, what are the most preferred diets by insect. For this purpose, I used 3 parameters;...
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2
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Finding the conditional distribution of 2 dependent normal random variables
Here's the situation
$X \sim N(\mu, \sigma^2)$ and given $X=x$, $Y \sim N(x, \tau^2)$
I need to find the distribution of $X$ given $Y=y$
From what's given, I know the pdf's of $X$ as well as $Y|X=x$...
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0
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0
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Example of parametric and non-parametric method
I have not understood this example from wikipedia.
Suppose we have a sample of 99 test scores with a mean of 100 and a standard deviation of 1. If we assume all 99 test scores are random samples ...
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