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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 views

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 …
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  • 1,029
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 …
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  • 1,029
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 …
Count Zero's user avatar
  • 1,029