Use this tag for regression models (*q.v.*) that are nonlinear functions of the *parameters* (not the data!).

learn more… | top users | synonyms

3
votes
0answers
98 views

Relaxing the parallel lines assumption in a proportional odds model

I tried to specify a partial proportional odds regression in STATA using the gologit2 command. However, gologit2 runs ...
3
votes
0answers
88 views

Shifted intercepts in logistic regression

I have a question about the effects of shifting the intercept in a logistic fit on the mean of a particular transformation of the scores. Here is the notation I will be using for the question. The ...
3
votes
0answers
286 views

How to find the “optimal” cutoff-points in a non-linear relationship?

I have the following challenge: The dataset has one dependent and one independent variable which are connected in a non-linear fashion. I am trying to give a more qualitative picture here because I am ...
2
votes
0answers
66 views

Exponent for non-linear regression (in R)?

I have a non-linear reglationship and I want to find the best way to determine the value for the exponent $\gamma$ in the following regression: $y = \beta x ^ \gamma$ I would preferably like to do ...
2
votes
0answers
74 views

Monte Carlo confidence interval for general inverse problem

I am trying to solve an inverse problem, and I'd like to be able to compare different ways of doing the inversion. What I don't understand how to do, is generate confidence intervals to help in the ...
2
votes
0answers
49 views

Gauss-Newton method for MA parameter estimation

Please check my solution below for estimating Moving Average parameter using the Gauss-Newton (Linearization) method. I consider MA(1). MA(1) model: $$z_t=a_t-\theta_1a_{t-1}.$$ Solution: The ...
2
votes
0answers
63 views

dose response and lethal dose 50 analysis

I am going to perform an experiment to test for the pathogenicity of several bacterial strains. For this I will infect several animals (e.g. 5 per dose per bacterial strain) with increasing doses of ...
2
votes
0answers
66 views

How does one build/find a mathematical model for a convex relationship?

I think my various questions on this site about spline and polynomial regression boil down to this: I have many datasets to analyze where individuals grow over time and, depending on treatment group, ...
2
votes
0answers
88 views

AR1 Modelling using dlmModReg

I'm trying to model AR1 using dlmModReg(). The main purpose is to keep phi a variable so that if phi >1, I know that mean reversion is not occurring. Below is my ...
2
votes
0answers
377 views

Intuitive explanation of Gauss-Newton regression

I read from a textbook that Gauss-Newton regression is also called 'artificial regression'. Please give me an example, how does it work? And what's the relation with Newton's method? Thank you.
1
vote
0answers
22 views

Zero to one proportion data, with quadratic term?

I have a data set with the following: N = 60; x = developmental stage (range 25 to 44); y = proportion of 10 minute trial performing a behavior (range 0 to 0.81; 30 zeros) A scatterplot produces a ...
1
vote
0answers
65 views

Finding starting values for nls for critical exponential function

I'm trying to fit a critical exponential function using nls. The function is of the form $y = a+ (b + cx)r^x$ and has a single maximum/minimum, a single inflection ...
1
vote
0answers
181 views

Comparing model fits or regression coefficients for nonlinear models fitted to different data sets

I have kinetic data measured under several treatments (one experiment per treatment) which can be fitted by several nonlinear two-parameter models, how can I compare whether there there are ...
1
vote
0answers
49 views

Breakpoints and non linear regression

I have done some research about breakpoints (I am not a statistician) and I found out about the breakpoint, strucchange and segmented packages in R allowing to find breakpoints assuming linear model. ...
1
vote
0answers
166 views

Whether to use linear regression or not

Effects of growth hormone (GH) replacement with recombinant human GH on bone and mineral metabolism were studied in 36 GH-deficient children. Several outcomes, including serum ionized calcium levels, ...

1 2 3
15 30 50 per page