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CONTENT-ACADEMY
Nigeria
เข้าร่วมเมื่อ 29 ธ.ค. 2020
This Channel Detail all you need to know about Mathematical/Statistical Proof, Analysis and Solutions. I assist students who finds it challenging to resolve basic and complex questions in Mathematics and Statistics.
Moment Generating Function: Bernoulli Distribution (How to derive the mgf of Bernoulli Distribution)
This video tutorial details all you need to know about the Moment Generating Function (MGF) of the Bernoulli distribution.In this video, You'll learn how to write the Moment Generating Function of a Discrete Random Variable and the step by step method of deriving the Moment Generating Function of the Bernoulli distribution.You'll also learn, how to relate any distribution to the Moment Generating Function and its computation. To better understand how to derive the Moment Generating Function of any distribution, watch this video till the End.
Whether you're a beginner or looking to strengthen your knowledge on Moment Generating Function of probability distributions, this video breaks down complex concepts in an easy-to-understand manner.
Don't forget to subscribe, like, comment and share for tutorials on Probability Distributions and Statistics content!
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#momentgeneratingfunction #bernoullidistribution #mgf #Statistics #Probability #Math #probabilitydistribution #probabilitytheory #statisticalinference
Whether you're a beginner or looking to strengthen your knowledge on Moment Generating Function of probability distributions, this video breaks down complex concepts in an easy-to-understand manner.
Don't forget to subscribe, like, comment and share for tutorials on Probability Distributions and Statistics content!
Need a Tutor?
Join our WhatsApp group, link below:
l1nk.dev/8KNNf
Send a Message on WhatsApp
wa.me/+2348035415248
wa.me/+2348023548354
Subscriber Link
rb.gy/ewtolh
TikTok
tiktok.com/@content_academy
#momentgeneratingfunction #bernoullidistribution #mgf #Statistics #Probability #Math #probabilitydistribution #probabilitytheory #statisticalinference
มุมมอง: 6
วีดีโอ
Moment Generating Function of Binomial Distribution @content-academy
มุมมอง 307 ชั่วโมงที่ผ่านมา
This video details the Moment Generating Function (MGF) of the Binomial Distribution and explore its connection to the probability mass (density) function (PMF). In this video, you'll learn how to write Moment Generating Function, the step-by-step derivation of the Moment Generating Function of Binomial Distribution. You'll also learn how the Probability Density Function PDF of the Binomial Dis...
Continuous Uniform Distribution: How to find Mean and Variance of Uniform Distribution
มุมมอง 3412 ชั่วโมงที่ผ่านมา
This video details the Expectation and Variance of the Uniform Distribution in the context of continuous random variables. In this video, you'll learn how to write the mathematical expression of a continuous uniform distritribution, the mathematical derivations to calculate the mean (expectation) and variance for both the continuous uniform distribution on a closed interval [a,b]. You'll also l...
Mle of Laplace Distribution: How to find the Location Parameter #mle @content-academy
มุมมอง 2819 ชั่วโมงที่ผ่านมา
This video tutorial discusses the process of finding the Maximum Likelihood Estimate (MLE) for the location parameter of a Laplace Distribution. In this video, you'll learn how to write the likelihood function for the Laplace Distribution, how to derive the Maximum Likelihood Estimate for the location parameter. You'll also learn, the step-by-step method on how to obtain the estimate of the Loc...
Method of Moments for Normal distribution: #methodofmoments @content-academy
มุมมอง 215วันที่ผ่านมา
This video is a Complete Series on the Method of Moments Estimation for Normal Distribution! In this video, you'll learn the key concepts, derivations, and applications of the Method of Moments in estimating the parameters of the normal distribution. You'll also learn, the basic idea behind the Method of Moments and how it is used to estimate population parameters from sample data. You'll also ...
Unbiasedness Statistics | Variance of Unbiased Estimator #UnbiasedEstimator @content-academy
มุมมอง 58วันที่ผ่านมา
This video details the concept of the Variance of an #Unbiased #Estimator in #Statistical #Theory. In this video, you will learn about #Unbiased #Estimators and how they provide correct #Estimates on average, understand the definition of #Variance and how it reflects the spread of #Estimator values. You'll also discover why minimizing #Variance is essential for making reliable and precise #Esti...
Method of Moments for Uniform Distribution: #methodofmoments @content-academy
มุมมอง 16414 วันที่ผ่านมา
This video explains the concept of Method of Moment Estimation for estimating the parameters of Uniform distribution. In this video, you'll learn how to derive the Method of Moment Estimators for 'a' and 'b' in the Uniform distribution using Method of Moments Estimation, the step-by-step application of the Method of Moments on how to compute the estimators. You'll learn how to compute the First...
UMVUE of Poisson Distribution: UMVUE of Poisson Distribution using Crammer Rao Inequality
This video detail, the concept of the Uniformly Minimum Variance Unbiased Estimator (UMVUE) for the Poisson distribution using the Cramér-Rao inequality. In this video, you'll learn each step involved in deriving the Uniformly Minimum Variance Unbiased Estimator for the Poisson parameter. You'll also learn, how to deriving the unbiased estimator of the given Poisson parameter 𝜆 and how to compa...
UMVUE of Exponential Distribution: UMVUE of Exponential Distribution and Crammer Rao Inequality
This video detail, the concept of the Uniformly Minimum Variance Unbiased Estimator (UMVUE) of an Exponential Distribution using Cramer Rao Inequality. In this video, you'll learn, the mathematical derivation of the Uniformly Minimum Variance Unbiased Estimator of an Exponential Distribution using Cramer Rao Inequality. You'll also learn, the the step by step method involve in finding an the Mi...
UMVUE of Bernoulli Distribution using Crammer Rao Inequality @content-academy
UMVUE of Bernoulli Distribution using Crammer Rao Inequality @content-academy
UMVUE of Normal Distribution: How to find the UMUVE using Cramer Rao Inequality @content-academy
UMVUE of Normal Distribution: How to find the UMUVE using Cramer Rao Inequality @content-academy
Method of Moments for Bernoulli Distribution: #methodofmoments @content-academy
มุมมอง 9714 วันที่ผ่านมา
Method of Moments for Bernoulli Distribution: #methodofmoments @content-academy
Moment Generating Function of Poisson Distribution @content-academy
Moment Generating Function of Poisson Distribution @content-academy
Moment Generating Function of Geometric Distribution @content-academy
Moment Generating Function of Geometric Distribution @content-academy
Method of Moments Estimation for Exponential Distribution: #methodofmoments @content-academy
มุมมอง 16014 วันที่ผ่านมา
Method of Moments Estimation for Exponential Distribution: #methodofmoments @content-academy
Method of Moments: Geometric Distribution #methodofmoments @content-academy
มุมมอง 17821 วันที่ผ่านมา
Method of Moments: Geometric Distribution #methodofmoments @content-academy
Method of Moments for Poisson Distribution: #methodofmoments@content-academy
มุมมอง 16521 วันที่ผ่านมา
Method of Moments for Poisson Distribution: #methodofmoments@content-academy
Variance of Beta Distribution: How to find Variance of Beta Distribution of first kind
มุมมอง 3228 วันที่ผ่านมา
Variance of Beta Distribution: How to find Variance of Beta Distribution of first kind
Moving Average Time Series Model: How to write Moving Average Model of different orders #timeseries
มุมมอง 3528 วันที่ผ่านมา
Moving Average Time Series Model: How to write Moving Average Model of different orders #timeseries
Time Series Sarima: (How to Compute SARIMA(2, 2, 2)(1, 1, 1)[s=3] model) #timeseriesanalysis
มุมมอง 3428 วันที่ผ่านมา
Time Series Sarima: (How to Compute SARIMA(2, 2, 2)(1, 1, 1)[s=3] model) #timeseriesanalysis
Continuous Normal Distribution: How to derive Variance of Continuous Normal Distribution
มุมมอง 29หลายเดือนก่อน
Continuous Normal Distribution: How to derive Variance of Continuous Normal Distribution
Autocorrelation Function in Time Series: Compute Autocorrelation Function Using Yule Walker Equation
มุมมอง 154หลายเดือนก่อน
Autocorrelation Function in Time Series: Compute Autocorrelation Function Using Yule Walker Equation
Beta Distribution of First Kind: How to find the Expectation of Beta distribution of first kind
มุมมอง 30หลายเดือนก่อน
Beta Distribution of First Kind: How to find the Expectation of Beta distribution of first kind
Continuous Distribution: How to find the Expectation of Normal Distribution #continuousdistribution
มุมมอง 44หลายเดือนก่อน
Continuous Distribution: How to find the Expectation of Normal Distribution #continuousdistribution
Time Series Analysis: How to compute SARIMA (1, 0, 1)(1, 1, 0)[s=2] model #timeseries
มุมมอง 61หลายเดือนก่อน
Time Series Analysis: How to compute SARIMA (1, 0, 1)(1, 1, 0)[s=2] model #timeseries
Unbiasedness of an Estimator: Expectation of the Sample Variance #unbiasedestimator @content-academy
Unbiasedness of an Estimator: Expectation of the Sample Variance #unbiasedestimator @content-academy
SARIMA model | Time Series Analysis #timeseriesanalysis #sarima @content-academy
มุมมอง 36หลายเดือนก่อน
SARIMA model | Time Series Analysis #timeseriesanalysis #sarima @content-academy
Continuous Normal Distribution: How to derive the Expectation (mean) #continuousdistribution
มุมมอง 164หลายเดือนก่อน
Continuous Normal Distribution: How to derive the Expectation (mean) #continuousdistribution
ARMA (p, q) Model : How to write ARMA (p, q) Model of Time Series #timeseries @content-academy
มุมมอง 37หลายเดือนก่อน
ARMA (p, q) Model : How to write ARMA (p, q) Model of Time Series #timeseries @content-academy
Moving Average Time Series: How to write time series moving average model #timeseriesanalysis
มุมมอง 43หลายเดือนก่อน
Moving Average Time Series: How to write time series moving average model #timeseriesanalysis
Thank you very much
Hey what’s Nu? c/λ
You can check on the full Video, in playlist or get the text book. Distribution Theory Simplified
You can check on the full Video, in playlist or get the text book. Distribution Theory Simplified
🇮🇳🇮🇳🇮🇳
Thanks promote the page
Am confused here, 4xbar - 4xbar isn't not zero?
Buy the Textbook, distribution theory Simplified. You will understand better
Which is ur country
Chat me on WhatsApp +2348035415248
Thank you Sir for the awesome job you're doing That was my concern too
Get the Textbook 'Distribution Theory Simplified ' it will go a long way to help you. +2348035415248
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Promote the Channel, for others to subscribe
please explain how you are getting the terms just saying we get this doesnt help in understanding
Get the Textbook on Distribution Theory Simplified +2348035415248
Thank you very much sir, you're doing well
@@ABDULRAHEEMYUSUF-b7u Thanks brother. Make sure u subscribe and promote the channel for ur colleagues to subscribe. The Textbook on Distribution Theory Simplified is still available
I don't get it where that 5n you cancel with came from....??... I thougth it n not 5n
I think the Textbook on Distribution Theory will Assist you greatly. You can follow the link to purchase one paystack.com/pay/distributiontheory
Thanks for sharing this sir, I always gain a lot when I watch your videos..... more wisdom insha-Allah
Promote the channel and subscribe, there is a Textbook on Statistical Inference
how comes you put everything over n
Purchase the Textbook on Distribution Theory Simplified! It will assist you greatly. Purchase with the link below! paystack.com/pay/distributiontheory
The pdf isn't correctly written...., the sigma inside the square root shuold squared....
Get a Copy of that Book! Everything you want is there!
You can chat me on the Whatsapp number there
Exponential Family of Distribution! Are Coined in Diverse Ways! You can send me the Correct One from your side. Thanks
Thanks soooo much sir
TEXTBOOK on Distribution Theory is ready, it contains everything on Maximum Likelihood Estimation: Chat me on +2348035415248
Please do vedio on the statistics ❤❤❤
On which area to be precise
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@@AnasjemalJemal thanks, promote the channel
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Thanks, promote the channel
nice
Thanks, promote the channel
Thanks
It is not np. Np is not Bernoulli distribution. Bernoulli distribution is (p) . np is binomial distribution
Okay, will look into it as soon as possible sir!
I want the same problem with a little difference . That is s=12 not 2
Chat me on Whatsapp +2348035415248. Thanks
❤❤❤
Thanks
Sir This is really good, I want more fixing SARIMA model questions as same as other time series problems. My end exam at the university will be held right after 6 weeks since now. Before that we want your help
No problem, am here for you guys, we can get some class online if u wish. You can chat me on WhatsApp
nice
Thanks, also let ur friends subscribe
Very clear explanation. Do you also have a video on one-parameter exponential family of normal distribution?
Thanks, u can send the question to my WhatsApp number. Promote the channel for more videos
Thank you sir❤
@yasiththathsara-o8e yep
paystack.com/pay/distributiontheory
Yo nice one dawg u going hella crazy on these bro +1 sub dawg keep it up mate
Thanks, and promote the channel for more, u are great
Thanks, It's just English. Help promote the channel so that others can subscribe and watch. I appreciate You.
Square root of both sides and not square of both sides. You however did a good job except the last end. Thanks for the video
Your the best lecturer am sure everyone will understand your explanations
Thanks, promote the video and tell ur friends to subscribe
Thanks bro
Thanks, promote the channel and tell others to subscribe
Nice
Thanks
Great explanation!!
Thanks, encourage your classmates to subscribe to the channel
I like how well you explain
Thanks hope you have subscribe, and introduce the channel to ur classmates for them to subscribe
really helpful video, thank you!
Thanks, promote the channel for more subscribers
Thanks, promote the channel and tell ur classmates to subscribe, for more content
Thank you sir..this video was really helpful....liked 👍, shared and subscribed...make more such videos ❤😊
Alright thanks, I will do that, but I have more of them. Hope you have subscribe.
Subscribe and promote, for more.
Well explained, I appreciate your effort.
Thanks, don't forget to subscribe and promote the channel to ur classmates and friends for more videos on mathematics and statistics
Thank you so much to upload such very relevant topic videos regarding the moments
Thanks, but help promote the video to ur classmates and others for more content, and tell them to subscribe, am here to serve u better
@@content-academy I have a doubt when you are estimating the "r" you did something which is not possible in mathematics. You should check the video from 14:00. You just separate r/(Xbar +r) into r/Xbar +r/r, which is not possible. Right?
Can u write it out and send to my WhatsApp, for me to better understand you?
Wow! Thank you so much! You posted this literally just a few hours before I needed it. It helped a lot! I would like to point out that you don't need the quotient rule. Because it's a partial derivative with respect to v, we treat the numerator as a constant. It gives the same result.
I understand perfectly what you mean, but going through d quotient is still right, A Standard University Professor also reach out to me, confirming its a great work.
Thanks for your concern, subscribe and promote the channel for more. You can also go through the Rayleigh distribution proper to see
Infact, this particular problem, is a question given to me by a student from the United Kingdom.
I love your work bro
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@content-academy I subscribed long time
Genius
Thanks, just promote the channel and subscribe for more
Erripuka
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Thanks for the support 🤗
Thanks, keep promoting the channel to serve u better
If we want some numerical questions where should we send sir . from india
Telegram channel
Ofcos, my WhatsApp number is there
You can send ur questions to my WhatsApp contact
@@content-academy okay sir
Alright
great video sir thankyou for the lesson i wanted to ask how come we didnt use 1+3 combination when solving
Thanks, promote the channel for more
The other combination is among, the shortest distance is what we were looking for, more than one route have have more than one distance
Thanks vs pouvez faire les intégration avec la méthode monte carlo
Thanks, help promote the channel
Hi from Somalia
Yea, how are u. U can chat me up on +2348035415248
One day you'll have more than 1M subscribers, it's just that people haven't noticed you yet, you explained the MOM estimation perfectly
Thanks, all I need from you is to subscribe and help me promote the channel, thanks
th-cam.com/video/quXGVJYR9I8/w-d-xo.htmlsi=Sci6TJ3BpliQSiUD
Thank you for sharing this 🙏
Thanks, hope you have subscribe
Thanks 👍 for your work bro
My pleasure
Do you have also bayesian inference for normal mean and standard deviation
Will do that for u, as soon as possible, chat me on Whatsapp