Should i use Poisson or negative binomial for overdispersed count data?

[Ronald.M]

Living in a small apartment has forced me to get creative with at-home fitness tips. I've developed some effective strategies for working out in limited spaces. What at-home fitness tips have you found most useful when you don't have much room? I'm looking for practical advice on equipment storage, workout modifications, and space-efficient routines. Share your best at-home fitness tips for making the most of small living spaces while staying active.

[Ella18]

For at-home fitness tips in small spaces: 1) Use resistance bands instead of dumbbells - they're compact and versatile for strength training exercises, 2) Do exercises that don't require lying down (wall sits, standing calf raises), 3) Utilize door frames for pull-up bars or stretch bands, 4) Foldable mats save space compared to permanent equipment, 5) Create vertical storage for fitness gear. These at-home fitness tips make even tiny apartments suitable for effective fitness workouts.

[JerryYS]

Cardio at-home fitness tips for limited space: 1) Jump rope in place - takes minimal space but great cardio workout ideas, 2) High knees and butt kicks in place, 3) Shadow boxing combinations, 4) Step-ups on a sturdy chair or step, 5) Dance workouts that stay in one spot. These at-home fitness tips provide effective cardio without needing room to move around. You can get your heart rate up significantly even in the smallest spaces with creative fitness workouts.

[Brandon75]

As a beginner in a small apartment, my best at-home fitness tips: 1) Clear just enough space for a yoga mat - that's all you need for beginner workout routines, 2) Use household items as weights (water bottles, canned goods), 3) Follow along with app workouts designed for small spaces, 4) Do exercises that don't require jumping (quieter for neighbors), 5) Schedule workouts when you can open windows for fresh air. These at-home fitness tips made exercise for beginners possible in my tiny studio.

[JonathanM]

Wellness-focused at-home fitness tips: 1) Create a dedicated corner for fitness workouts, even if small, 2) Use natural light and plants to make the space inviting, 3) Incorporate mindfulness into limited-space routines, 4) Practice breathing exercises that require no space at all, 5) View spatial limitations as an opportunity for creativity in home workout plans. These at-home fitness tips align with wellness and health tips for creating a positive environment for fitness regardless of square footage.

[MiaH]

I’m trying to decide between using a Poisson or a negative binomial model for my count data on website errors per day. The variance is about 1.8 times the mean, so I’m not sure if that’s enough overdispersion to justify the more complex model.

[CharlesNL]

I tried Poisson first for daily error counts and it felt close but not perfect. The variance was about 1.8 times the mean. A dispersion check pointed to mild overdispersion. So I would start with the simple model and compare with a basic overdispersion correction or the more flexible option if needed.

[ElizabethFT]

Maybe the real issue is not overdispersion but a day of week effect or a spike day. The variance looks mild but the pattern is noisy. Do you think a day effect could be driving the spread?

[Luke47]

I actually ran both models and compared the fit. The more complex option only gave a small improvement in the scores and I was not convinced to go all in. The extra parameters did not justify themselves in my dataset.

[Emma_R]

I drifted to testing weekly sums once and the dispersion shifted a lot. It made me wonder if the time scale matters more than the model choice. For daily counts the simple route might be fine.

[Mia26]

If you can keep things simple and test fast that is usually best.

[Sophia.R]

From my side the rule of thumb is mild overdispersion can be handled by the simple model with robust SEs. If the plan is to forecast and the variance structure changes with the level go for the flexible model but test with a holdout.