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Пікірлер
@DeepakChaudhary-oj6ot 3 күн бұрын
This the man part of the linear in tha potential formation in my he please farmive
@huijunzhao9822 10 күн бұрын
Thank you for sharing this complete explanation of LMEM! Super helpful!
@binjieli7971 Ай бұрын
where is gray and green?? Am I color blind
@Jillllllllll Ай бұрын
SUPER nice!! one question, i have a LMM with df what do they mean?
@Nicoleuni7 Ай бұрын
THANK YOUUUUUU
@ericle8289 2 ай бұрын
Excellent, had to search through several videos before landing on yours. A very clear and concise explanation on partial correlations.
@moonforces4447 2 ай бұрын
Thanks Matthew for ShareThis
@deepakjain4481 2 ай бұрын
thanks a lot
@lintonfreund 2 ай бұрын
this video is incredible, thank you so much!
@maksimrodak7138 2 ай бұрын
this is really helpful. thank you so much!
@mirzetadjonlagic4497 2 ай бұрын
very good explanation!
@omarharbah6972 3 ай бұрын
Thank you so much, an example on the last part "Working with time series" would be very useful.
@will74lsn 3 ай бұрын
can I find somewhere examples of random coefficient models where the variable of the random coefficient is not continuous but categorical? ideally written with STATA or SPSS?
@mitchellliddick5719 3 ай бұрын
Can you please explain why time series are not allowed? This would make the residuals non-independent of one another, but why does this invalidate the test? Would a LMM work better in this case, and if so would “time” as the continuous independent variable be the random effect to account for resampling of the same system? Thank you!
@estefaniavillanueva1294 3 ай бұрын
OMG, thank you so much for this very informative video, it really helped me a lot!
@akontia6 4 ай бұрын
Super simplified, very help. Thank you!
@a.s.3874 4 ай бұрын
Are LMM and LMEM the same thing?
@yee6365 5 ай бұрын
Where does the observed difference at ~6:00 come from?
@langleymcentyre2754 5 ай бұрын
Thank you for making this video it really clarified the concepts for me
@dom6002 5 ай бұрын
It's remarkable how inept professors are at explaining the simplest of concepts. You have surpassed most of mine, thank you very much.
@yee6365 5 ай бұрын
Well this is an applied statistics course, so it's way more useful than most theoretical ones
@tinAbraham_Indy 5 ай бұрын
I truly enjoy watching this tutorial. Thank you
@HashanDananjaya 6 ай бұрын
Thank you very much! This helped me quite a lot!!
@user-gq1iu8bc1y 7 ай бұрын
Is that Dr. Bob D pointing at the outcrop.
@MatthewEClapham 7 ай бұрын
Indeed - an old photo I scanned from one of the New York fall field trips!
@TheGeek275 8 ай бұрын
Thank you sir, it was very well explained.
@user-mh7px2uy1k 8 ай бұрын
Excellent work
@Breizh1999 8 ай бұрын
6:45
@paulbriggs3072 9 ай бұрын
You state "Dune size scales with flow depth; ripples scale with grain size instead". There are what are known as mega-flood ripples (such as the Camas Prairie ripples). These are over 30 feet high. Were they scaled up as a result of grain particle size? Or flow depth? Surely they scaled up in size due to flow depth.
@fiore1394 9 ай бұрын
Oh my goodness, thankyou for making a video that actually explains statistical content clearly! If I had a dollar for every video with a title like, "such and such analysis method, CLEARLY EXPLAINED!" then goes on to dive into the most complex content imaginable without proper explanation I'd be a very rich man. Sorry about this vent, I'm just very appreciative. Keep up the good work.
@samg2784 10 ай бұрын
at 3:18, shouldn't it be Yt and Yt-1 rather than x?
@XarOOraX 10 ай бұрын
This story seems straight forward - yet, after 8 minutes I still am clueless as where it is going to lead. Maybe it is just me, but when I need to learn something, I don't want a long tension arc: Oh, what is going to happen next... I want to start with a great picture of what is going to happen, and then fill in the details one after another, so I can sit and marvel, how the big initial problem step by step dissolves into smaller and understandable pieces. Inversing the story, starting from the conclusion, going to the basics also allows to stop once you understood enough.
@wendyfrancesconi9808 Жыл бұрын
Really clear. Thanks!
@multitaskprueba1 Жыл бұрын
Fantastic video! Thank you so much! You are the best!
@shivangitomar5557 Жыл бұрын
best!
@juliocardenas4485 Жыл бұрын
Excellent. Thank you
@user-dj4jj9us8h Жыл бұрын
very helpful, thank you!
@vishaljain4915 Жыл бұрын
Could not have gotten confused even if i tried to, really clear explanation
@mind2539 Жыл бұрын
Amazing explanation!
@Nobody-md5kt Жыл бұрын
This is fantastic. I'm a software engineer currently learning about why our cosine similarity functions aren't doing so hot on our large embeddings vector for a large language model. This helps me understand what's happening behind the scenes much better. Thank you!
@cupckae1 Ай бұрын
Can you share your observations regarding the research?
@lbognini 11 күн бұрын
This is what really makes the world unfairer: when you take advantage of what someone else shared to untangle something and you don't even want to share with others how you did it.
@mallorythomas725 Жыл бұрын
Really good explanation! Helping me write my first manuscript :)
@stevengpeacock1 Жыл бұрын
Great summary, thanks Matthew
@BrOgam3rHD Жыл бұрын
Holy fuck is this video good
@statnotes6339 Жыл бұрын
How to calculate the p value(probability of the distance) in R manually? I don't want to use the function ks.test
@pedroewert143 Жыл бұрын
Really great - i like the nod to regressions. Our Professor was not very good at explaining that the name Anova is somewhat vague or more a Header-name for different tools. And i got confused when everything was called Anova yet the approaches were somewhat different
@jc_777 Жыл бұрын
Concise and right to the point. I love it. Thanks.
@chacmool2581 Жыл бұрын
Country X has 30 states with repeated observation measures of X across 15 years for each state. Is Mixed Effects appropriate to model Y from X with states as random effects?