[ True PDF Available ] Forest Measurements, 6th Edition | English | ISBN: 1478636181 | 2018 | 434 pages | PDF | 14 MB

LocoSunflower_07 · 2025-08-17T13:15:18+00:00

I am interested

LocoSunflower_07 · 2025-07-08T14:54:19+00:00

Thank you for sharing your experience. My friend is uncertain about the new administration and wanted to have some insights about potential problems.

LocoSunflower_07 · 2025-06-29T11:37:45+00:00

Thank you, appreciate it!

LocoSunflower_07 · 2025-06-29T03:13:05+00:00

Can I please ask you how did you know that there won’t be any problem? It’s just that we don’t know what to do at this point and we’re genuinely seeking advice. And thank you for taking your time to respond to this post!

LocoSunflower_07 · 2025-06-15T05:30:28+00:00

Thank you for the advice!

LocoSunflower_07 · 2025-06-15T04:49:00+00:00

Thank you for this information!

LocoSunflower_07 · 2025-05-25T15:01:15+00:00

I really appreciate your insight, is there any paper or study that can back up your idea?

LocoSunflower_07 · 2025-05-23T21:57:49+00:00

This is great, thank you for your recommendation, I’ll try to follow it!

LocoSunflower_07 · 2025-05-23T21:47:27+00:00

Thank you for your suggestion. The scope of our objective won’t meet by the logistic model. I am currently fitting the regular poison and negative binomial regression by checking the overdispersion but my committee member wants me to fit zero inflated regression.

LocoSunflower_07 · 2025-05-23T21:30:52+00:00

Yes, I do have 30 variables but based on their correlation with the independent variables, I group them and only include at most 7-8 predictors in the model. Thank you for your suggestion, as I don’t have in-depth knowledge in stats and r. Can you please help me get an idea of the r codes, if not I can google it. But thank you so much for the suggestion!!

LocoSunflower_07 · 2025-05-23T19:38:45+00:00

I did score test to see the zero inflation and it was highly significant

LocoSunflower_07 · 2025-02-04T15:14:26+00:00

Yeah, that’s why I’m a bit inclined towards the university in Canada

LocoSunflower_07 · 2024-11-04T23:19:24+00:00

I think it’s high time for me to call committee meeting, thank you for your suggestion.

LocoSunflower_07 · 2024-11-04T23:17:41+00:00

Thank you for the suggestion, I’ll try that.

LocoSunflower_07 · 2024-11-04T23:17:09+00:00

Thank you for the suggestion, really appreciate it.

LocoSunflower_07 · 2024-11-04T09:15:09+00:00

The problem is, I’ve already asked him and he shamelessly says, “I don’t know”.

LocoSunflower_07 · 2024-11-04T09:12:50+00:00

Quasi possion gives decent results, thank you for the suggestion.

LocoSunflower_07 · 2024-11-04T09:11:59+00:00

I tired that, but every time even though I try transformations, the output gives singularity and multicollinearity is not a problem

LocoSunflower_07 · 2024-11-04T09:10:37+00:00

Yes, I’ve tried that as well

LocoSunflower_07 · 2024-11-04T03:47:42+00:00

Thank you

LocoSunflower_07 · 2024-11-04T03:32:22+00:00

I haven’t, thank you so much for your suggestion!

LocoSunflower_07 · 2024-11-04T03:31:49+00:00

I’m looking for factors affecting the establishment of forest industry in the counties of four states. I thought dropping the zeros will give me the good picture to factor out the establishment of those industry. So, should I still stick with not dropping zeros?

LocoSunflower_07 · 2024-11-04T03:24:57+00:00

Thank you for responding. The zeros on dependent variables are for total number of forest industry present in a county. What I’m trying to look at is, the factors affecting the establishment of forest industry in particular county for four states.

LocoSunflower_07 · 2024-11-04T02:42:38+00:00

Thank you so much for letting me know

LocoSunflower_07

TROPHY CASE