That is a useful video, thanks! However I have question, how can we cross-validate the model? Or build the model on training set and test on the testing set? Thanks for the answer.
gender is the correct term, sex would have to be more specific: asking for chromosomal, gonadal or second characteristics of sex development. let's be scientific about it!
how to interprete the coefficients? since they're not natural but bin
Great video. Thanks.
Thanks
How about zero inflated negative binomial with expectation maximization and newton raphson algorithm?
That is a useful video, thanks! However I have question, how can we cross-validate the model? Or build the model on training set and test on the testing set?
Thanks for the answer.
Is there any example for geographically weighted negative binomial regression for syntax program? If anyone knows lemme know thanks before 🙏
Just to clarify is glm.nb suitable for both poisson and over dispersed data?
Great video -- what if my dependent variable is binary (presence/absence)?
Then you can use logistic regression as your problem seems classification type.
intercept =2,615265, make probability negative if independen variabel 0.. is it true??? how you write a model according to this output?
How do you know if it's significant ?
Okay...Okay 😂
what is prog mean ?
How do we interpret theta = 1.033?
good question. been trying to find the answer to that
@@babyroo555 Any luck yet? lol
@@brazilfootball nope lol
gender is the correct term, sex would have to be more specific: asking for chromosomal, gonadal or second characteristics of sex development. let's be scientific about it!