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Maths Resource
Добавлен 31 июл 2013
The Exponential Family of Distributions
StatsResource.github.io | GLMs
AERL-004-FIA-CT6-2012-April-Q1-ExponentialFamilty
AERL-004-FIA-CT6-2012-April-Q1-ExponentialFamilty
Просмотров: 406
Видео
Continuous Random Variables - Expected values and Unbiased Estimation - Worked Example
Просмотров 465Год назад
StatsResource.github.io | Probability Distributions - Continuous Random Variables MRSB-009 April 2022
Joint Random Variables - Marginal Distributions - Worked Example
Просмотров 10 тыс.Год назад
StatsResource.github.io | Joint Random Variables - Marginal Distributions The discrete random variables X and Y have a joint distribution given in the presentation. Calculate the marginal distributions of X and Y, the expected value of X and expected value of Y? MRSB-008-JRVs April 2022
Discrete Random Variables - Expectation Of Difference of Values
Просмотров 5462 года назад
StatsResource.github.io | Discrete Random Variables - Expectation Of Difference of Values MRSB-012-DRVs
Confidence Intervals for Differences In Proportions - Worked Examples
Просмотров 1612 года назад
StatsResource.github.io | Confidence Intervals for Differences In Proportions MRSB-006-April2022
Decision Theory - Decision Making with Loss Functions
Просмотров 3832 года назад
StatsResource.github.io | Decision Theory - Decision Making with Loss Functions AERL-003-FIA-CT6-September-Q1-Decision-Theory-Loss-Function
Discrete Random Variables - Distribution of Pairwise Minima - Worked Example
Просмотров 1042 года назад
StatsResource.github.io | Discrete Random Variables - Distribution of Pairwise Minima - Worked Example A pair of dice is thrown. Let M denote the minimum of the two numbers which occur. Find the distributions and expected value of M. MRSB-010 April 2022
Information Theory - Marginal and Joint Entropy Calculations
Просмотров 3,5 тыс.2 года назад
StatsResource.github.io | Information Theory - Entropy Calculations MRSB-004-April2022
Difference In Proportions - Hypothesis Testing Worked Example
Просмотров 4323 года назад
StatsResource.github.io | Inference Procedures | Difference In Proportions | Hypothesis Testing - Worked Example
Solving Integral Equations with Laplace Transforms
Просмотров 2,1 тыс.3 года назад
MathsResource.github.io | Advanced Calculus | Laplace Transforms
Mixed Probability Distributions
Просмотров 1,6 тыс.4 года назад
StatsResource.github.io | Probability Distributions | Advanced Topics | Mixed Probability Distributions
Random Variables - Mixed Probability Distributions
Просмотров 1,1 тыс.4 года назад
StatsResource.github.io | Random Variables | Mixed Probability Distributions
Random Variables : Cumulative Distribution Functions of Maxima and Minima
Просмотров 5114 года назад
StatsResource.github.io | Probability | Random Variables | Maxima and Minima
Lognormal Distribution - Worked Example
Просмотров 21 тыс.4 года назад
StatsResource.github.io | Probability Distributions | Lognormal Distribution Worked Example
Gamma Distribution - Electricity Comsumption Example
Просмотров 2,6 тыс.4 года назад
StatsResource.github.io | Probability Distributions | The Gamma Distribution
The Weibull Distribution - Worked Example
Просмотров 4,8 тыс.4 года назад
The Weibull Distribution - Worked Example
Simulation with Random Number - Actuarial Example
Просмотров 4034 года назад
Simulation with Random Number - Actuarial Example
Random Number Generations - The Weibull Distribution
Просмотров 1,5 тыс.4 года назад
Random Number Generations - The Weibull Distribution
The Pareto Type II Distribution - Median and Mean
Просмотров 4 тыс.4 года назад
The Pareto Type II Distribution - Median and Mean
Survival Models - Cox Regression Model
Просмотров 8 тыс.4 года назад
Survival Models - Cox Regression Model
Survival Analysis - Kaplan Meier Estimates (Lightbulb Example)
Просмотров 6 тыс.4 года назад
Survival Analysis - Kaplan Meier Estimates (Lightbulb Example)
Survival Analysis - Nelson Aalen Estimates
Просмотров 9 тыс.4 года назад
Survival Analysis - Nelson Aalen Estimates
Survival Analysis - Kaplan Meier Survival Estimates
Просмотров 7014 года назад
Survival Analysis - Kaplan Meier Survival Estimates
Survival Analysis - Kaplan Meier Estimates
Просмотров 4,7 тыс.4 года назад
Survival Analysis - Kaplan Meier Estimates
The One-Way ANOVA model - worked example
Просмотров 3,9 тыс.4 года назад
The One-Way ANOVA model - worked example
Gamma Distribution - Worked Example
Просмотров 28 тыс.4 года назад
Gamma Distribution - Worked Example
Thanks, this certainly helped.
Very nice explanation understood everything thank you so much!
It’s the night before my exam and I finally understood how it works, thank you! Great video and explanation.
god bless you
Just spoiled my test and came here to watch this to prepare for my external exam 😢
thanks a lot for covering this kinda small topics
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 ruclips.net/video/dgk5fJ3VjKI/видео.htmlsi=bX625jlK-4ZouWYQ
Thank you!😇
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?
d.f=n-s-1, s=1 parameter for Poisson distr. d.f=n-2
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
I feel you, final exam in 2 hours
@@Hades5.7 good luck ❤️🙏🏻 i fail this course lol
@@ahmadg3822 that exam was really hard 💀
😂😂😂
I am taking this course again guys wish me luck
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
Does that mean it has more than 1 solution?
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.