Estimation Theory | Efficient Estimator |Sufficient Estimator | L19

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  • Опубликовано: 17 янв 2025

Комментарии • 22

  • @more_amit
    @more_amit Месяц назад +4

    what an explanation sir👏👏👏❣❣❣

  • @adhilmuhammed8830
    @adhilmuhammed8830 Год назад +5

    sir please upload unit 6 hypothesis testing in MTH 302....as our exams are approaching

  • @Yashkyk
    @Yashkyk 2 месяца назад +2

    In first question,there is no need to calculate variance of second estimator 17:55 because it is biased one ,am i right? For efficiency we chose unbiased estimator isn't ?

    • @Sanonlineclasses
      @Sanonlineclasses  2 месяца назад

      Some times it is possible that all the estimators are biased then we look for the the one with least variance .

    • @Yashkyk
      @Yashkyk 2 месяца назад

      @@Sanonlineclasses okay sir thanks

  • @channellucky-r6b
    @channellucky-r6b Месяц назад +1

    42:10 i havent understood it sir how it has changed to sumation from product

  • @souravjyoti64
    @souravjyoti64 Месяц назад

    18:13 ,lets assume var(t3) < var(t1) < var(t2) , but t3 is biased so in this case also t1 will be best estimator right ???

    • @Sanonlineclasses
      @Sanonlineclasses  Месяц назад +1

      Using the term best estimator is not that appropriate rather it should be most efficient.Selection of best estimator depends on situation.

  • @Ashutoshkumar-jx9wk
    @Ashutoshkumar-jx9wk 8 месяцев назад

    Thank you sir ❤

  • @timetics
    @timetics 9 дней назад

    The explanation was really great. But I got stuck at one place...I couldn't quite understand how you decided which x function is for mu and which is for sigma in the second last example. Please sir explain once more

    • @Sanonlineclasses
      @Sanonlineclasses  9 дней назад

      Can you put time stamp

    • @timetics
      @timetics 9 дней назад

      Sure, sir ​@@Sanonlineclassesit's 47:00

    • @Sanonlineclasses
      @Sanonlineclasses  9 дней назад

      Because if you want to calculate Sigma square then summation of x square must be known it means if you are given Sigma square so x square is known so to know mu summation of x is sufficient.

    • @timetics
      @timetics 9 дней назад

      ​@@Sanonlineclassesthanks, sir. Understood.

  • @RuthMuthoni9330
    @RuthMuthoni9330 3 месяца назад

    But if lamda was 0, how comes you are calculating variance of X3 and it's 0 in t3

  • @pandeyvlogs9973
    @pandeyvlogs9973 Месяц назад +1

    Nice Blood example for sufficiency 🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣

  • @shivaram3602
    @shivaram3602 Год назад +2

    Presence of VITB attend here💌

  • @nilayjain5838
    @nilayjain5838 Год назад

    Sir please unit 5 start kijiye