sample maximum造句
例句與造句
- The sample maximum is Fisher consistent, but downwardly biased.
- This is the sample maximum, scaled to correct for the bias, and is MVUE by the Lehmann Scheff?theorem.
- However, the sample maximum and minimum are not always outliers because they may not be unusually far from other observations.
- However, the sample maximum and minimum need not be outliers, if they are not unusually far from other observations.
- If there are outliers, they necessarily include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low.
- It's difficult to find sample maximum in a sentence. 用sample maximum造句挺難的
- Outliers, being the most extreme observations, may include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low.
- where " m " is the sample maximum and " k " is the sample size, sampling without replacement ( though this distinction almost surely makes no difference for a continuous distribution ).
- A narrower question is choosing a maximum ( estimation of a population maximum ), known as the German tank problem, for which similar " sample maximum, plus a gap " solutions exist, most simply.
- The reason the sample extrema are sufficient statistics is that the conditional distribution of the non-extreme samples is just the distribution for the uniform interval between the sample maximum and minimum once the endpoints are fixed, the values of the interior points add no additional information.
- The sample maximum and sample minimum, together with sample size, are a sufficient statistic for the population maximum and minimum the distribution of other samples, conditional on a given maximum and minimum, is just the uniform distribution between the maximum and minimum and thus add no information.
- Further, it is highly influenced by outliers : increasing the sample maximum or decreasing the sample minimum by " x " changes the mid-range by x / 2, while it changes the sample mean, which also has breakdown point of 0, by only x / n.
- If only the top endpoint is unknown, the sample maximum is a biased estimator for the population maximum, but the unbiased estimator \ frac { k + 1 } { k } m-1 ( where " m " is the sample maximum and " k " is the sample size ) is the UMVU estimator; see German tank problem for details.
- If only the top endpoint is unknown, the sample maximum is a biased estimator for the population maximum, but the unbiased estimator \ frac { k + 1 } { k } m-1 ( where " m " is the sample maximum and " k " is the sample size ) is the UMVU estimator; see German tank problem for details.
- The sample extrema can be used for a simple normality test, specifically of kurtosis : one computes the t-statistic of the sample maximum and minimum ( subtracts sample mean and divides by the sample standard deviation ), and if they are unusually large for the sample size ( as per the three sigma rule and table therein, or more precisely a Student's t-distribution ), then the kurtosis of the sample distribution deviates significantly from that of the normal distribution.