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ipm1988

  • 3 years ago

Can anyone tell me whether following things are true or not

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  1. poopsiedoodle
    • 3 years ago
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    False.

  2. maddie0603
    • 3 years ago
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    true

  3. ipm1988
    • 3 years ago
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    Where E stands for expectation\[E { [E(\theta)]^2 } = (E(\theta))^2\]

  4. unheard
    • 3 years ago
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    Both.

  5. AravindG
    • 3 years ago
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    please allow him to post his question :/

  6. ipm1988
    • 3 years ago
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    the uqestion is in the comment @maddie0603 @unheard @poopsiedoodle @AravindG

  7. maddie0603
    • 3 years ago
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    i know i was messing around with u

  8. poopsiedoodle
    • 3 years ago
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    same. I dunno this stuff :p

  9. ipm1988
    • 3 years ago
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    it is the expectation of expectation of theta whole square

  10. AravindG
    • 3 years ago
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    guys check this out http://openstudy.com/code-of-conduct

  11. ipm1988
    • 3 years ago
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    @Sean_Anderson you had your fun now buzzout I am in no mood for silly jokes

  12. AravindG
    • 3 years ago
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    @ipm1988 expectation in what terms ..I really dont seem to understand your notation ..Which chapter does this come under?

  13. ipm1988
    • 3 years ago
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    @AravindG point estimation

  14. AravindG
    • 3 years ago
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    sorry statistics isnt my area

  15. ipm1988
    • 3 years ago
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    @maddie0603 do you have any idea

  16. maddie0603
    • 3 years ago
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    nope

  17. drawar
    • 3 years ago
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    if X is a random variable, then E[X] is a number independent of x, let me call it c, then E[E[X]]=E[c]=c, so E[E[X]]^2=c^2=(E[X])^2.

  18. drawar
    • 3 years ago
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    Fyi, when you encounter E[X|Y] where X and Y are rvs, which is called conditional expectation, then E[X\Y] is a rv itself. :)

  19. AKANicole
    • 3 years ago
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    i agree with both, people can some times it depends on what they choose on, so it makes it true and false lolz

  20. AKANicole
    • 3 years ago
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    |dw:1365876012789:dw|

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