In many engineering and scientific problems, there is a need to find the parameters of a dependence from the experimental data. There exist several software packages that find the values for these parameters -- values for which the mean square value of the absolute approximation error is the smallest. In practice, however, we are often interested in minimizing the mean square value of the relative approximation error. In this paper, we show how we can use the absolute-error-minimizing software to minimize the relative error
Relative error between the estimated tolerance and experimental measurement in relation to the toler...
The traditional denition of a relative approximation error of an esti-mate ex as the ratio jex xjjx...
How can we describe relative approximation error? When the value b approximate a value a, the usual ...
The paper deals with the numerical techniques for finding the special type of parameter estimates ba...
AbstractNumerical methodology is developed for approximating the absolute minimum of a function or a...
We formalize the notion and initiate the investigation of approximate testing for arbitrary forms of...
In writing this study, the authors try to explain how to find the value of an error in an experiment...
AbstractDeterminations are made of the means that minimize various relative errors in the sense that...
An attractive alternative to least-squares data determined by using the median rather than the model...
AbstractOur goal in this work is to give an optimum correction of the infeasible absolute value equa...
Relative error estimation has been recently used in regression analysis. A crucial issue of the exis...
Abstract Range searching is a well known problem in the area of geometric data structures. Weconside...
When evaluating the performance of quantitative models, dimensioned errors often are characterized b...
An important question in evolutionary computation is how good solutions evolutionary algorithms can ...
One of the basic problems of interval computations is to compute a range of a given function f(x1,.....
Relative error between the estimated tolerance and experimental measurement in relation to the toler...
The traditional denition of a relative approximation error of an esti-mate ex as the ratio jex xjjx...
How can we describe relative approximation error? When the value b approximate a value a, the usual ...
The paper deals with the numerical techniques for finding the special type of parameter estimates ba...
AbstractNumerical methodology is developed for approximating the absolute minimum of a function or a...
We formalize the notion and initiate the investigation of approximate testing for arbitrary forms of...
In writing this study, the authors try to explain how to find the value of an error in an experiment...
AbstractDeterminations are made of the means that minimize various relative errors in the sense that...
An attractive alternative to least-squares data determined by using the median rather than the model...
AbstractOur goal in this work is to give an optimum correction of the infeasible absolute value equa...
Relative error estimation has been recently used in regression analysis. A crucial issue of the exis...
Abstract Range searching is a well known problem in the area of geometric data structures. Weconside...
When evaluating the performance of quantitative models, dimensioned errors often are characterized b...
An important question in evolutionary computation is how good solutions evolutionary algorithms can ...
One of the basic problems of interval computations is to compute a range of a given function f(x1,.....
Relative error between the estimated tolerance and experimental measurement in relation to the toler...
The traditional denition of a relative approximation error of an esti-mate ex as the ratio jex xjjx...
How can we describe relative approximation error? When the value b approximate a value a, the usual ...