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This tag is too general; please provide a more specific tag. For questions about the properties of specific estimators, use [estimators] tag instead.
1
vote
1
answer
38
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Choosing one parameterization over another
Suppose I have a random response Y and a fixed predictor X. My model is
\begin{align*}
Y &= \frac{aX}{b + aX}
\end{align*}
where $X, Y, a, b > 0$. I have a sample $Y_1, ..., Y_n$ and n is very la …
5
votes
3
answers
141
views
Is there a term for dividing out a parameter to make model identifiable?
Suppose I have a nonlinear model of the form:
\begin{align}EY|X = \frac{aX}{aX+b}\end{align} where $a, X, b > 0$. I reparameterize the model as
\begin{align}
EY|X =\frac{\beta X}{1 + \beta X}
\end{a …
1
vote
0
answers
33
views
How do I model of Y| X, M when data has only X and Y not M, an upper bound on Y?
Suppose I have a set of Bernoulli random variables $y_j$, corresponding to molecules in an excited or unexcited state. I have a random variable $Y$ which is the concentration of the molecules in a fi …