Parameter Estimation and Convergence for a Sequence of Random Variables...
In this video:
🔹 MSE versus Variance Example
🔹 Asymptotically Unbiased Estimators 17:13
🔹 Convergence in Probability for a Sequence of Random Variables 25:55
🔹 Some Useful Inequalities (Markov, Chebyshev) 32:45
🔹 The Weak Law of Large Numbers 53:21
New videos release every Tuesday and Thursday!
----------------------------------------------------------------------------------------------------------------------------------------------
Thanks for watching! Consider checking out my MathStat textbook!
http://www.amazon.com/Simple-Infinite-Joy-Mathematical-Statistics/dp/B0BD1YPQRN
Also, if you are interested in data science, check out my courses on Coursera!
https://www.coursera.org/specializations/statistical-inference-for-data-science-applications