Unit 6 Flashcards

1
Q

What is an estimator?

A

A formula/function for obtaining an estimate once the data are known

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2
Q

2 types of estimates?

A

Point or interval

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3
Q

What do we need to consider to tell if an estimator is a best estimator?

A

Location (is it biased?)

Dispersion

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4
Q

What does bias find out?

A

Whether Θ>θ or Θ

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5
Q

Why is the mean squared error a better measure usually than variance for measuring dispersion?

A

Var(θ) works as dispersion measure if the estimator is unbiased, but to allow for possibility of bias it is better to use MSE

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6
Q

What does the MSE measure?

A

The average squared distance of θ(hat) from θ

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7
Q

What is the standard error and why do we use it?

A

It is the route of the MSE, and use it since MSE is a bit melodramatic

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8
Q

What is a consistent estimator?

A

An estimator such that as its’ sample size increases, the MSE tends to 0

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9
Q

What is an efficient estimator?

A

An estimator is said to be efficient if it can be shown NO estimator has a lower MSE at any sample size

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10
Q

See

A

Page 8 notes on relative efficiency

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11
Q

What is an asymptotically efficient estimator?

A

An estimator is asymptotically efficient if it’s MSE RELATIVE TO some other estimator tends to <=1 as N->infinity (even though it isn’t efficient)

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12
Q

What to do when you’re stuck trying to find variance?

A

Check if the variable has a Bernoulli distribution! If it does use:

Var(X)=p(1-p)/n

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