Lecture 35B: Introduction to Estimation Theory -2

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Estimation examples, Estimator, Objective functions in Estimation.
  1. Applied Time -Series Analysis
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Комментарии
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Wow, this is pure gold.... Following from kenya
You helped me score 26/30 in my cat exam after having hated this course

januariswambua
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This is GOLD, PURE GOLD ! I wish I could have credited this course when you offered this sir. Always come back to these lectures by you. My pranaam _/\_

VBKS_AAJ
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I found my estimation theory mine, , ! Started digging..!

SaikSaketh
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Thank you for making such "dry" topics interesting!
@14:24, how does the minimization of "sum of square of the differences" turn out to be the mean?
Intuitively it seems fine, but I'm not able to derive it!

ujjwalk.
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Could not understand "How the professor says the sample median is Non linear" at 21:42 . The example given around multiplication of sorted matrix is not convincing per se. Can someone help with elaboration.

seshanirmal
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Sir, could you once explain wh6b is this linear please .. 16:44

anirudhvjst
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Sir do you teach them in live classes?

bikashhota
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at 10:07, is c the best prediction because mean of the noise is 0? if not then what is the reason?

aniruddhnls
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sir, can you explain in this what is meant by misspecification of model ?

BabinRoy-ie