Questions tagged [scaled]
6 questions
2
votes
1 answer
Normalised binomial random variable
Assume $Z$ is a Binomial random variable with a distribution function
$$
f(z)=\binom{n}{z}p^z(1-p)^{n-z}
$$
What is the distribution of the random variable $Z/n$? Does it have a name? Any close form expression of the distribution of $Z/n$ will be…
Chamberlain Mbah
- 751
- 4
- 19
1
vote
1 answer
Interpretation of scaled error measures
can someone give me an explanation on how one would interpret the result of a scaled error measure.
For example the Mean Absolute Scaled Measure (MASE). The numerator is the mean absolute error and the denominator the mean absolute error of a…
ktl12
- 31
- 2
1
vote
1 answer
Interpretation of OLS: Scale dependent variable by independent variable instead of including it in the regression model
How does the interpretation on the coefficient of X in this OLS model:
Y(Profit in €) = b0 + b1 X + b2 X2 (Firm Size in €) + e
change if I rewrite the model as
Y(Profit in €) / X2(Firm Size in €) = b0 + b1 X + e.
In other words, is easy way to…
diudas
- 143
- 9
1
vote
0 answers
How to interprete a scaled response variable as an unscaled response variable?
I'm new to R and I'm having trouble to interpret the estimates of my scaled response variable.
I used (scale) function to standardize all my variables (1 response variable and 7 explanatory variables) in a lmermodel. The estimates (in summary) of…
Thalia
- 11
- 1
0
votes
1 answer
Scaling formula (reference required)
I came across a very good scaling formula to scale theta based on Item Response Theory to the scale of 31-68.
The original post is here. The formula looks like this:
$f(x) = \frac{(b-a)(x-min)}{max-min} + a$
Would anyone kindly point out where I can…
Faisal Mustafa
- 101
- 2
0
votes
1 answer
Confused about h-step ahead forecasts
I have 12 months of in-sample data and 12 months of out-of-sample data. I'm trying to calculate the scaled error for an h-step ahead forecast where h=1, 6 and 12. Do I just calculate the error at each of these points and divide each by the average…
Angus
- 239
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