A Quartic Quality Loss Function and Its Properties

Authors

  • Chanwut Poonthanomsook Department of Industrial and Systems Engineering, North Carolina State University Raleigh, NC 27695-7906, USA
  • Yahya Fathi 1,2Department of Industrial and Systems Engineering, North Carolina State University Raleigh, NC 27695-7906, USA
Abstract:

We propose a quartic function to represent a family of continuous quality loss functions. Depending on the choice of its parameters the shape of this function within the specification limits can be either symmetric or asymmetric, and it can be either similar to the ubiquitous quadratic loss function or somewhat closer to the conventional step function. We examine this family of loss functions in the context of their industrial applications and use them in a mathematical programming model for the parameter design problem.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Quality Loss Function – A Common Methodology for Three Cases

The quality loss function developed by Genichi Taguchi considers three cases, nominal-thebest, smaller-the-better, and larger-the-better. The methodology used to deal with the larger-thebetter case is slightly different than the other two cases. This research employs a term called target-mean ratio to propose a common formula for all three cases to bring about similarity among them. The target-...

full text

construction and validation of translation metacognitive strategy questionnaire and its application to translation quality

like any other learning activity, translation is a problem solving activity which involves executing parallel cognitive processes. the ability to think about these higher processes, plan, organize, monitor and evaluate the most influential executive cognitive processes is what flavell (1975) called “metacognition” which encompasses raising awareness of mental processes as well as using effectiv...

Characteristic function of a meromorphic function and its derivatives

In this paper, some results of Singh, Gopalakrishna and Kulkarni (1970s) have been extended to higher order derivatives. It has been shown that, if $sumlimits_{a}Theta(a, f)=2$ holds for a meromorphic function $f(z)$ of finite order, then for any positive integer $k,$ $T(r, f)sim T(r, f^{(k)}), rrightarrowinfty$ if $Theta(infty, f)=1$ and $T(r, f)sim (k+1)T(r, f^{(k)}), rrightarrowinfty$ if $Th...

full text

BAYES ESTIMATION USING A LINEX LOSS FUNCTION

This paper considers estimation of normal mean ? when the variance is unknown, using the LINEX loss function. The unique Bayes estimate of ? is obtained when the precision parameter has an Inverse Gaussian prior density

full text

A Linear Mini-max Estimator for the Case of a Quartic Loss Function

Let Y (t) be a stochastic process on [0; 1] modeled as dYt = (t)dt + dW (t), where W (t) denotes a standard Wiener process, and (t) is an unknown function assumed to belong to a given set L2[0; 1]. We consider the problem of estimating the value L( ), where L is a known continuous linear function de ned on , using linear estimators of the form hm; yi = R m(t)dY (t); m 2 L2[0; 1]. We solve the p...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 1  issue 1

pages  8- 22

publication date 2007-04-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023