Maximum Likelihood Estimation (MLE) & Likelihood Function Explained | B.Sc. Statistics Tutorial

Описание: Unlock the power of Maximum Likelihood Estimation (MLE)—one of the most important tools in statistical inference! In this video we break down:

1. The Likelihood Function – intuitive meaning & formal definition


2. Deriving the MLE – step-by-step method, with calculus refresher


3. Worked Examples – Binomial, Poisson & Normal distributions


4. Key Properties – consistency, efficiency & asymptotic normality


5. Common Pitfalls – boundary solutions, non-unique estimates


6. Quick Quiz & PDF Notes – test yourself and download revision sheets



Designed for B.Sc. Maths/Stats students and CDS aspirants, the lesson balances theory with problem-solving strategies that appear in university exams and competitive tests alike.
(छोटा नोट: अंत में Q&A session है—miss मत करना!)

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#MaximumLikelihood #LikelihoodFunction #StatisticsTutorial #BScMaths #CDSPreparation