Відео

Thank you. I was looking for cases, event and censored data. Good explanation

tnx g

4:51 man is drowning 😂 making me nauseous

what a shitty explanation

Okay

So helpful🤝🏼

Thanks

Guy needs to be a lec doing a better job than them

nice, thank you.

EXCELLENT EXPLENATION

thank you 😃

I respect the hardwork mate you've been doing this for years good on you

Is it just me or did he not explain a single thing that’s going on here

Thank you

Thank you form the 2 a.m. waaay too early into semester crew

You sound like wheatley from portal

Why did you write P(X) in terms of 6th and P(Y) in terms of 5th

I wish you were my maths teacher!! You are the BEST❤

that was so fkn bad. you barely explained the last 2

i have exam tomorrow, this is the best quickest way, thank youu

what method did you used from the integration to the next step? is it by part or what method?

Previous video ua-cam.com/video/dgk5fJ3VjKI/v-deo.htmlsi=bX625jlK-4ZouWYQ

Sesiniz cok iyi arkadaşlar arada beğenin gelip dinliyim

Your voice is soothing, my energy increased before the exam thankssss

It seems like I don't even have to calculate the marginal pdf's of X and Y when I could just do the double integral and complete the problem without the previous steps

you saved my life!!! thank you so much for this easy explanation, it makes SO much more sense than what I saw in class. Thank you again

Shouldnt the degrees of freedom depend on the number of estimated parameters instead?

I didn't understand after 3:49 . How did you get the equations. Please explain ❤

Draw the digraph for the relation R = {(1, 2), (2, 2), (2, 1), (3, 4), (4, 3)} on the set X = {1, 2, 3, 4} d please solve this i have problem

I have seen several Q tables, how do I know which one to use to set the critical value?

Thanks Broh but you doing it all wrong from multiplication of the first row and first column

me finding a math problem that I couldn't understand* then theres video from 8 years ago on my recommendation :

I hate my life

Okay

A transition matrix can have elements that are 0 and the Markov Chain can still be irreducible. Its better to use the actual definition of a Markov chain to avoid mistakes

slow good

El concepto de compresión de datos es erróneo. Y el límite de la entropía de la información de Shannon se refiere a una representación de la información como si fuese materia. Los datos no pueden "comprimirse" porque no son materiales, no son materia. Los datos son número, y el concepto debe ser exclusivamente el de "codificación", no de compresión... Es la materia la que es susceptible de "compresion"... Shannon habla de "entropía de la información" como si se tratase de materia, de átomos desordenados... Es una representación mental errónea para la información transmisible, que es número y debe ser tratada y entendida como tal. La operaciones matemáticas pueden utilizarse solamente con los números. No son aplicables a la materia ni a otros tipos de símbolos del lenguaje que se hable, escriba o represente. Sumar, restar, multiplicar, dividir, etc. La solución al problema de la compresión (no limitada) de datos vendrá de la comprensión de esta cuestión, cuando se termine de entender que aquí hablamos de números, no de materia, y evitemos representar la información como si fuesen átomos...🫡

Why only take the positive roots

already 8 years and still better than any other course that I watched, the simplicity, thanks prof

great video but am I the only one extremely bothered by the sound of his breath ?

Waffling without explaining the shift.

amazingly taught.... removed my exam pressure thank you

bro sounds like talking from a fighter jet

I really like how you started, especially how you grouped the factors and their levels with a realistic example. However, you jumped too many steps. Remember there are different ways to achieve the same results, some don’t even find no variance until they need the F ratios. Maybe this is a continuation of a previous video with all details. In that case, I apologize for my criticism.

thx a lot

Is 1 constant for all the events or questions relating to marginal distribution?? If no, you have to state clearly why you choose to make it 1 in this context or question.

You have to tell people how come about 1. Mathematics is not all about putting figures the way you choose.

The first property is wrong. Leading entries have to be non zeros not necessarily 1.

Thanks But I don't understand how your using Sabistiute on the last part

both confusing and very helpful somehow haha