Q4. Find The MLE For (i) μ when σ² is known(ii) σ² when μ is known - Normal Population N[μ,σ²].

Q4,In Random Sample From Normal Population N[μ,σ²] | Find The MLE For (i)μ When σ² is known,
(ii)σ² When μ is known.

✅ In This Video :-

➡️ Class : M.Sc.-ll Sem.lV,P.U.
➡️ Subject : Elements of Probability and Mathematical Statistics
➡️ Chapter : 3
" ESTIMATION THEORY - l : POINT ESTIMATION "
➡️ Topic Name : Chapter 3 'All Solved Questions'
➡️ Topic Covered In This Video :
Spectrum Book (Sharma Publication Jalandhar) Maths

1. What is Factorization Theorem ?

2. What is Fisher-Neymann Criterion ?

3. What is Rao-Blackwell Theorem ?

4. What is Cramer's Rao-Inequality ?

5. What is Necessary and Sufficient Condition For Unbiased Estimator T of γ(θ) to Attain Lower Bound Of Its Variance (Minimum Variance) ?

6. What is Parametric Space and Estimator/Estimate ?

7. What is Point Estimation ?

8. What is Unbiasedness Estimator ?

9. What is Consistent Estimator ?

10. What is Efficient Estimator ?

11. What is Sufficient Estimator ?

12. What is Complete Statistics ?

13. What is Order Statistics, Smallest Order Statistics And Largest Order Statistics ?

14. What is MVUE/Minimum Variance Unbiased Estimator ?

15. What is MVBE/Minimum Variance Biased Estimator ?

16. How to Find MVUE is Unique ?

17. What is Method of Estimation ?

18. What is MLE/Maximum Likelihood Method of Estimation and its Properties ?

19. What is Method of Moments and iIts Properties ?

🟧 Chapter 3 " ESTIMATION THEORY - l : POINT ESTIMATION " Playlist👇👇

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1. What is Point Estimation ?
2. What is Unbiasedness ?
3. What is Consistency ?
4. What is Efficiency ?
5. What is Sufficiency ?
6. What is Completeness ?
7. State and Prove Rao - Blackwell Theorem .
8. State and Prove Cramer - Rao Inequality .
9. What is Methods of Estimation ?
10. Short Trick To Solve Numerical Questions of Point Estimation in Probability and Mathematical Statistics .

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