Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!

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This StatQuest shows you how to calculate the maximum likelihood parameter for the Exponential Distribution.
This is a follow up to the StatQuests on Probability vs Likelihood
Viewers asked for a worked out example, so this is pretty mathy, but I just couldn't say "no"!

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As an engineering student at a top UK university, I can safely say that you have been more helpful/useful than my information engineering lecturer. Two hours of confusion over likelihood when I could've just watched a few of your videos. Being smart enough to work at a top university definitely does not correlate with being a good teacher. Thank you anyhow!

michaelharris
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can someone pls tell me what this guy eat growing up?!! how can someone be this good of a teacher???? spent 22 years (school+undergrad+grad) in academic career and this is the first time i see "Statistics" differently.

williamblanzeisky
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This channel saved me from failing a class and now I just watch the videos for fun. You totally changed how I perceive educational videos. Came here because I had to, staying because I want to. Much love from UNC

tamerosman
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It just took 9.39 min to explain what I never understood for past 2 weeks. Thank you a ton or a million times. My exams are nearby and now my head is clear to move forward with other distributions as well. My lecturer skipped likelihood and started explaining Max likelihood est. I pray for your good health 🙏 always.

ayush
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How can I thank you for this? I mean how hard it was for my university professor to make me understand this. I don't know about me but the students who study under you is blessed. Thanks a lot Sir, thanks a lot.

Double BAM!!!

ssshukla
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"It's a statistical distribution that models the time between events"
So that's why in phylogenetics we use an exponential distribution to describe the time between occurring and disappearance of lineages on a phylogenetic tree! Thank you a lot, man!

trilisser
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This channel is pure gold! Thanks for all your efforts sir, you are helping us students a lot! All the best

qulummmdov
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Amazing. I studied this first many years ago, and now am in need of reviewing all the concepts for career progression. Never understood so many of these concepts until now. Thank you.

sann
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Good stuff and deeply helpful. You're among the best teachers I've had, even if it's via online video. I hope you can do some videos on Poisson regression one day.

chrisg
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This is by far the best explanation of MLE, I've ever come across! Awesome!

SayanChakraborty
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Sir, the way you explain things is simply superb. Even though I knew most part of this concept already, but only after watching this video, I have now got the intuition behind this simple logic. Thanks a lot.

chaitanyaagrawal
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You make me actually understand what is happening in all this calculations, such a blessing....SUCH A BLESSING, THANK YOU !

chasti
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I wish you were my probability and stats professor. Concise yet crystal clear explanation. I take a deep bow. 🙇

Tweeteketje
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it has cleary figured out the meaning of MLE which was foggy in my brain. Thanks a lot

sonhs
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How did I not know about this channel until now? This is a gold mine, I just found!!!!

tanmaybhayani
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Wow, Thank you sir ....just Thank you please don't ever stop making these amazing

asishmagham
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Thanks a lot! I searched for exponential distribution everywhere. Everything was so difficult. You are a star. Great. How easily you are explaining. I have become a fan of your teaching style.

maheswarisrinivasan
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how can someone be so good at explaining stuff? I might end up watching all the videos XD

Celestius_
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I'm here just to say thanks! A lot of studies that I'd saw, and only you were straight to the point, simple as possible. This was really helpful. Subscribed!

ericktranoulis
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Dude, you have no idea how helpful these videos are. I'm pretty sure my professor has no "theory of mind, " and I never understand anything he says, and the book we're using is miserable also. Your videos are literally how I'm learning everything for this class.

GuppyPal