DETERMINING SAMPLE CHARACTERISTICS AND THEIR ASYMPTOTIC LINEAR-REGRESSION PROPERTIES ESTIMATED USING INEQUALITY CONSTRAINTS

摘要

Linear regression parameters are estimated using inequality constraints. A sample estimate of the noise variance is proposed and its consistency is proved. A sample estimate of the matrix of mean-square errors in estimates of regression parameters is considered. Its consistency is proved for rather general assumptions on the noise distribution law.