An estimand is a quantity that is to be estimated in a statistical analysis. The term is used to distinguish the target of inference from the method used...

statistics, "statistic" or estimator refers to samples, whereas "parameter" or estimand refers to populations, where the samples are taken from. A statistic is...

observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished. For example, the sample...

yield different estimands and different procedures of estimation whenever consistent estimation is possible. The preceding estimand calls for first estimating...

effect of treatment. One solution to this problem is to redefine the causal estimand of interest by redefining a subject's potential outcomes in terms of one's...

{\sum _{i=1}^{n}w_{i}y_{i}}{\sum _{i=1}^{n}w_{i}}}} . This will be the estimand for specific values of y and w, but the statistical properties comes when...

random sampling methods. Bootstrapping estimates the properties of an estimand (such as its variance) by measuring those properties when sampling from...

) Since the expectation of an unbiased estimator δ(X) is equal to the estimand, i.e. E ⁡ ( δ ( X ) ) = ∑ x = 0 ∞ δ ( x ) λ x e − λ x ! = e − 2 λ , {\displaystyle...

derived meta-analytic average may eventually not correspond to a reasonable estimand. When individual studies exhibit conflicting results, there likely are...

observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished. For example, the sample...

Fay MP, Brittain EH, Shih JH, Follmann DA, and Gabriel EE (2018) Causal estimands and confidence intervals associated with Wilcoxon-Mann-Whitney tests in...

Bojinov and Neil Shephard (2019) "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading", Journal of the American Statistical...