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15 Cards in this Set
- Front
- Back
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Bootstrap Confidence Interval |
A confidence interval formed using bootstrap re-samples taken from the data |
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Bootstrap Distribution (alternative name: Bootstrap re-sampling distribution) |
The distribution of estimates calculated from each of the bootstrap re-samples taken from the original sample (the data) |
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Bootstrap Re-sample(s) (alternative name: Bootstrap sample) |
A sample(s) obtained by random sampling, with replacement, from the original sample itself |
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Bootstrap Re-sampling |
Repeatedly taking samples from the sample (the data) with replacement |
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Confidence Interval |
An interval estimate of a population parameter. An interval around a point estimate of a population parameter calculated to allow for uncertainty due to sampling error A range of plausible or believable values for a population parameter The word 'confidence' is used in the term because we have confidence in the method that produces the confidence interval |
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Confidence Limits |
The upper and lower boundaries (end-points) of a confidence interval |
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Estimate (alternative name: Point estimate) |
A number calculated from the data; used to estimate an unknown parameter value e.g. a sample mean |
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Interval Estimate |
An interval of number within which a parameter value is believed to fall |
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Parameter |
Numerical characteristic of the population or distribution e.g. a population mean |
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Percentile Bootstrap Interval |
The confidence interval with limits which are the 2.5 and 97.5 percentiles of the bootstrap distribution, i.e. the limits of the central 95% of the bootstrap distribution |
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Point Estimate |
A single number that estimates the value of a parameter e.g. the value of a sample mean when estimating the value of a population mean |
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Re-sampling |
Taking samples from the sample itself In the case of bootstrapping this is done with replacement so each unit/person can appear more than once in a sample |
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Repeated Sampling |
Taking samples from the population. Not to be confused with re-sampling |
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Sampling with Replacement |
Each unit can occur more than once in a sample If a unit is selected in the sampling process, then it remains in the list and could be selected again in the sampling process |
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Sampling without Replacement |
Each unit in the sampling frame can only appear once in the sample, as in a simple random sample If a unit is selected in the sampling process, then it is removed from the list before the next selection for the sample is made |
