Now showing items 1-4 of 4

    • Anomalies of the magnitude of the bias of the maximum likelihood estimator of the regression slope 

      O'Driscoll, Diarmuid; Ramirez, Donald E. (Athens Institute for Education and Research, 2015)
      The slope of the best-fit line y h x x 0 1  ( )    from minimizing a function of the squared vertical and horizontal errors is the root of a polynomial of degree four which has exactly two real roots, one positive and ...
    • Geometric view of measurement errors 

      O'Driscoll, Diarmuid; Ramirez, Donald E. (Taylor and Francis, 2011)
      The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of a polynomial of degree four. This geometric view of measurement errors is used to give insight into the performance of ...
    • An investigation of the performance of five different estimators in the measurement error regression model 

      O'Driscoll, Diarmuid; Ramirez, Donald E. (Athens Institute for Education and Research, 2015)
      In a comprehensive paper by Riggs et al.(1978) the authors analyse the performances of numerous estimators for the regression slope in the measurement error model with positive measurement error variances >0 0 for X and ...
    • Moment estimation of measurement errors 

      O'Driscoll, Diarmuid; Ramirez, Donald E. (NEDETAS, 2011)
      The slope of the best-fit line from minimizing a function of the squared vertical and horizontal errors is the root of a polynomial of degree four. We use second order and fourth order moment equations to estimate the ratio ...