Very good summary

Wow. Thank you so much

Thanks for your very didatical demostration. I was wondering why you didn't mentioned about the data transformation and the data standarlization previous start the analysis, mainly because the blood preasure and body size have distinct scales.

Great. After wandering through hundreds of video now I know what an Eigen vector and Eigen value is👍

Excellent explanation, thank you

Thank you, bro. Well explained. Love it😊

Pairrrrssss 🥸 pehrz 😌

How can we estimate the parameters of this model? Can we just use ols method by using the linear model (b+b1.x)? Which is used as power of "e" here?

Huge thanks Can we say the pseudo-r-square is the same as deviance ratio that is reported in some statistical packages after logit models

But why call it poisson regression where the graph you used is clearly follows a exponential distribution?

Very nice explanation

This is so great. You're a good teacher, you explained what I have been trying to understand for more than a year in less than 30 minutes. You just got a new subscriber.

Please make about linear approximation method before applying Least squares method.

Your videos are great. You know that your video are one of learning materials for Statistics course in University of Groningen right? Much thanks

Can you please provide the dataset on which you worked

Thank you for such a well explained video on Bootstrapping! Really impressive and clear!

Really easy to understand. Cause you explain the reason why. Where i can't get this from my teacher.

You are the best in my opinion. And I'm not bluffing

Amazing explanation. Thanks alot

What if the correlation coefficient equals to 1? In that case we would receive 0 in denominator under the square root sign. Overall, thanks a lot for this insightful course

this video is a gem .

Hi, you lost me for a moment at 5.42/13.11 where you calculated upper and lower CL - could you please layout further, how you achieved 43.37

Wow, this is awesome and very insightful I must subscribe to your channel

How are the 2.747 and 5.7 derived?

Which software is used to get the equation for model Price = constant + Age.Coefficient + Mileage.Coefficient ?

Thank you for the detailed explanation! 1:12 May I know if both adjusting the significance level and adjusting p value result in the same conclusion, how do we decide which one to use? I see most of the papers use adjusted p value...

Absolutely ❤❤❤❤

One of the Most underrated channels in KZbin

Very well explained. Anyone can easily very well understand these concepts. Thanks!!!

What book can I find this in?

6:57 I don't understand how we can now assume that the Groups have one random intercept. That would mean each group has their own distribution, which is not the case because as you said all 4 subjects are randomly sampled out of one distribution.

Amazing! Thanks so much

At 11:00 how are the weights optimised, please?

I did not understand why the cutoff od 0.001 would not be appropriate in cases when we have many datapoints. Could you clear this up for me?

Very useful video, thank you

In my research, there are two groups: control and experimental. Both of these groups gave pre- and post-tests. Which test should I use? In the experimental group, there are 100 people,50 male, 50 female and in the control group, there are 100 people.50 male, 50 female, Could you please explain how to calculate the mean and standard deviation for this large sample? Thank you!”

Here , 'Binom(6,8,p)' is this a likelihood or conditional distribution of x given parameter? [ f(x | p) ] I think both are same 🙂 or I don't know.

Such good explanation for the beginner like me

thank you! if i want to calculate a confidence interval at other confidence levels, for example 98%?

nice video! how do you do the log-rank test when you have several groups? in my particular case i have 13 groups. what can i do to reduce the family wise error rate?

by far one of the best, to not say the best explained on this subject (without exaggerating)

Your videos give the best explanations! You make it so clear and easy to follow. Thank you!

why using 2 output nodes? isn't P(healthy) equal to 1-P(cancer)?

Thank you so much, this is really helpful I finally understand now 24hr before my final

I see that you centered the data. Is only centering required for "standardization" or scaling is also normally done such that the mean =0; standard deviation=1? this will then change the covariance matrix since variance of individual dimensions will equal 1.

excellently explained

Inquiry: If I had one group of males and females, and I applied treatment to them and took three measurements If the conditions for a t-test are present, use a two-sample t-test to test the treatment difference between males and females in each measurement Secondly, it is possible to use a repeated-measures test to compare the effect of treatment on males in repeated measurements I repeat this again for females

the best explanations for regression and neural networks to a non-expert statistician. thanks for posting

Woahhhh❤❤❤❤

This was extremely helpful, thank you so much