15 Point Estimators and Confidence Interval Flashcards

1
Q

Estimator

A

A method for estimating the quantity of interest

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2
Q

Estimate

A

The value given by the estimator

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3
Q

What type of variable is an estimator

A

A random variable

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4
Q

What is point estimation

A

An estimation that gives one single answer

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5
Q

What is the criteria for assessing small sample estimators

A

Unbiasedness and efficiency

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6
Q

What is the criteria for assessing large sample estimators

A

Asymptotic unbiasedness and consistency

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7
Q

When is an estimator unbiased?

A

When the mean of its sampling distribution is equal to the parameter it is estimating

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8
Q

What is the bias of an estimator defined as?

A

The difference between its expected value and the value of the population parameter

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9
Q

What is an efficient estimator?

A

An estimator with a small variance, the smaller the variance the more efficient

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10
Q

Mean squared error

A

A combined measure of bias and inefficiency, the larger the value, the worse the estimate

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11
Q

When is an estimator asymptotically unbiased?

A

If as n becomes large, the bias tends to zero

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12
Q

When is an estimator consistent?

A

If the probability of observing an outcome from the sampling distribution of the estimator which is different to the population parameter becomes zero as n becomes very large

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13
Q

When will an asymptotically unbiased estimator be consistent?

A

When the variance of the estimator goes to 0 as n goes to infinity

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14
Q

When does an estimator with an infinite amount of sample information give a correct result?

A

When it is consistent

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15
Q

Confidence interval

A

An estimate that provides additional information about variability

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16
Q

What does the width of the interval depend on?

A

How confident we want to be?
The variance of the point estimator
The sample size

17
Q

What are degrees of freedom?

A

The number of observations allowed to vary after the estimator has been calculated. It is always n-1

18
Q

How does students t distribution look compared to normal distribution?

A

It has fat tails