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estimator
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The answer ESTIMATOR has 11 possible clue(s) in existing crosswords.
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The word ESTIMATOR is VALID in some board games. Check ESTIMATOR in word games in Scrabble, Words With Friends, see scores, anagrams etc.
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Definitions of estimator in various dictionaries:
noun - an expert at calculation (or at operating calculating machines)
ESTIMATOR - In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quan...
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Possible Dictionary Clues |
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a rule, method, or criterion for arriving at an estimate of the value of a parameter. |
an expert at calculation (or at operating calculating machines) |
A person who estimates, especially one who estimates costs |
A function of a random sample of a population used to estimate some parameter of the whole population |
A rule, method, or criterion for arriving at an estimate of the value of a parameter. |
A person who estimates the price, value, number, quantity, or extent of something. |
someone whose job is to estimate the cost of something: |
a computer program that helps to calculate the cost or value of something: |
Estimator description |
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In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished.There are point and interval estimators. The point estimators yield single-valued results, although this includes the possibility of single vector-valued results and results that can be expressed as a single function. This is in contrast to an interval estimator, where the result would be a range of plausible values (or vectors or functions). * Estimation theory is concerned with the properties of estimators; that is, with defining properties that can be used to compare different estimators (different rules for creating estimates) for the same quantity, based on the same data. Such properties can be used to determine the best rules to use under given circumstances. However, in robust statistics, statistical theory goes on to consider the balance between having go |