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estimator    音标拼音: [ɛst'ɪmətɚ] ['ɛstɪm,etɚ]
n. 估计者

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  • What is the relation between estimator and estimate?
    In Lehmann's formulation, almost any formula can be an estimator of almost any property There is no inherent mathematical link between an estimator and an estimand However, we can assess--in advance--the chance that an estimator will be reasonably close to the quantity it is intended to estimate
  • Notation in statistics (parameter estimator estimate)
    We use an estimator which books usually denote by $\widehat{\theta}$ The estimator is a random variable
  • Variance of sample median - Cross Validated
    The HL median estimate is especially simple for small samples of size n, just compute all possible two point (including repeats) averages From these n(n+1) 2 new constructs, compute the HL Median Estimator as the usual sample median Now, per the same Wikipedia article on the median, the cited variance of the median 1 (4*n*f(median)*f(median))
  • What is the difference between estimation and prediction?
    purpose: an estimator seeks to know a property of the true state of nature, while a prediction seeks to guess the outcome of a random variable; and uncertainty: a predictor usually has larger uncertainty than a related estimator, due to the added uncertainty in the outcome of that random variable Well-documented and -described predictors
  • What is the difference between a consistent estimator and an unbiased . . .
    An estimator is unbiased if, on average, it hits the true parameter value That is, the mean of the sampling distribution of the estimator is equal to the true parameter value The two are not equivalent: Unbiasedness is a statement about the expected value of the sampling distribution of the estimator
  • How to calculate the expected value of an estimator?
    $\begingroup$ Found 6th edition from 25 yrs ago Same topic still in Ch6, Sect 1 This edition does not show how to find expectation of a random variable, but states sample mean $\bar X = \frac{\sum X}{n}$ may be used to estimate population mean $\mu $ Also, says sample median might be used





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