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In general, we assume that we know everything about an situation we are observing except for the value of a certain numerical parameter. We use the data to get information about that parameter. The most common case is that of the location parameter of a Normal Distribution which we estimate by the Arithmetic Mean of the observations. |
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In general, we assume that we know everything about an situation we are observing except for the value of a certain numerical parameter. We use the data to get information about that parameter. The most common case is that of the location parameter of a normal distribution which we estimate by the arithmetic mean of the observations. |
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When we just quote the estimated value, we are using [Point Estimation]?. More often, we wish to find an interval with a high probability of covering the value of the parameter. This is a [confidence interval]?, a specific form of an [Interval Estimation]?. |
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When we just quote the estimated value, we are using [point estimation]?. More often, we wish to find an interval with a high probability of covering the value of the parameter. This is a [confidence interval]?, a specific form of an [interval estimation]?. |
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back to Statistics/Theory -- Statistics/Applied |
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back to statistical theory -- applied statistics |
When we just quote the estimated value, we are using [point estimation]?. More often, we wish to find an interval with a high probability of covering the value of the parameter. This is a [confidence interval]?, a specific form of an [interval estimation]?.
back to statistical theory -- applied statistics
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