study variable, by incorporating two auxiliary variables in twophase (double) sampling. The bias and the mean square error …

exponential estimators using different parameters of an auxiliary character based on sub-sampling non-respondents. The bias and …

for population variance using information on population variance of x. The bias and mean squared error of the suggested …

problem, or cognitive bias, which may be the result of erroneous heuristics. Furthermore, the author found that investor …

If a company’s corporate performance forecasting bias is not zero and it continues to over- or under-predict actual … performance, capital investments and employment will deviate from their expected levels. Therefore, forecast bias is a very … important issue for a company’s management. However, few empirical studies exist on corporate performance forecasting bias in …

incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation …

types of biases: project bias, favoring the agent's project, or pandering bias, favoring the project preferred by the DM …

average. The estimator assumes the population to be homogeneous and skewed. The properties (i.e. the Bias and the Mean Squared …