I'm starting with threshold regression estimates, what is the minimum requirement of observation for this technique to be implemented? Thanks in advance for your answers
I am trying to analyse data from a survey examining what variables affect teachers perceived barriers to incorporating technology into their classroom. I have 5 predictor variables however my DV...
06 August 2024 1,752 3 View
I am using unit level data (IHDS round 2) & Stata 17
06 August 2024 5,725 2 View
When we conduct linear regression, there are several assumptions. The assumption of normality is whether the residual errors are normally distributed, not whether a predictor is normal?
31 July 2024 6,164 3 View
I am currently working on a regression model for a project and considering using both Random Forest and Decision Tree algorithms. Given that Random Forest is essentially an ensemble of Decision...
23 July 2024 4,306 3 View
In my data set, T is greater than N, so I chose quantile regression for my data set. So is it appropriate for that?
15 July 2024 6,416 4 View
Why direct inversion of mutivariate regression equation is not preferred and instead optimization techniques are used?
15 July 2024 8,642 3 View
Hi guys, in the context of my master thesis i analyze the statistical relationship between income and subjective well-being (Panel: SOEP, n: 300.000 observations over 10 years). After creating a...
13 July 2024 7,539 6 View
I created Bland Altman Plot to assess the difference, But I want to visualize the difference between the two curves in the same graph.
02 July 2024 5,361 0 View
I utilized a Bayesian state space model to analyze the data. The 95% confidence interval, which ranges from 0.0 to 1.2, prompts the question: Is the regression coefficient significantly different...
01 July 2024 9,575 2 View
I means exactly ,linear regression like ( logit , inverse power ...), what is the difference between each other ?
01 July 2024 4,479 1 View