- unbiasedness
- noun see unbiased

*New Collegiate Dictionary.
2001.*

- unbiasedness
- noun see unbiased

*New Collegiate Dictionary.
2001.*

**unbiasedness**— index disinterest (lack of prejudice), fairness Burton s Legal Thesaurus. William C. Burton. 2006 … Law dictionary**Unbiasedness**— Unbiased Un*bi ased, a. [Pref. un + biased.] Free from bias or prejudice; unprejudiced; impartial. {Un*bi ased*ness}, n. [1913 Webster] … The Collaborative International Dictionary of English**unbiasedness**— See unbiasedly. * * * … Universalium**unbiasedness**— noun The property of being unbiased … Wiktionary**unbiasedness**— unbiˈasedness or unbiˈassedness noun • • • Main Entry: ↑unbiased … Useful english dictionary**Kriging**— is a group of geostatistical techniques to interpolate the value of a random field (e.g., the elevation, z , of the landscape as a function of the geographic location) at an unobserved location from observations of its value at nearby locations.… … Wikipedia**Interest rate parity**— is a no arbitrage condition representing an equilibrium state under which investors will be indifferent to interest rates available on bank deposits in two countries.[1] Two assumptions central to interest rate parity are capital mobility and… … Wikipedia**Estimator**— In statistics, an estimator is a function of the observable sample data that is used to estimate an unknown population parameter (which is called the estimand ); an estimate is the result from the actual application of the function to a… … Wikipedia**CMA-ES**— stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative free methods for numerical optimization of non linear or non convex continuous optimization problems. They belong to the class of… … Wikipedia**Invariant estimator**— In statistics, the concept of being an invariant estimator is a criterion that can be used to compare the properties of different estimators for the same quantity. It is a way of formalising the idea that an estimator should have certain… … Wikipedia