Huber's estimator is not the only choice. We develop an alternative asymptotic minimax estimator and name it regression with …

Insolvenzprognose auf Basis der logistischen Regression übernommen. Es mussten dennoch auch einige ukrainische Spezifika berücksichtigt … Variablen in multivariater Regression und bietet viele theoretische Vorteile im Vergleich zu traditionellen statistischen …

Outliers in the data impair traditional estimators of location, variance, and regression parameters so researchers tend … location, scale, linear regression and multiple regression parameters are studied and compared to other estimators existing in … the literature. The concept of data depth is used to propose a new type of estimator for the regression parameters in …

estimation. We focus on regression and analogy techniques as these are commonly used. METHOD – we conducted an exhaustive search … inconsistent pattern from 20 different studies comparing regression and analogy is somewhat disturbing. It suggests that we need to …

rewarded more. Second, the lagged regression analysis was used to explore the cause-effect relationship between spending and … correlation between them, and it also provided estimated parameters in the regression models. Last, the current rewards scheme was …

A mixed model of regression with error components is proposed as one of possible interest for combining cross section … theoretical results obtained, as well as ease of computation, tend to support traditional covariance estimators of the regression … care in combining data from alternative sources in regression analysis. …