|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 4 of 16 found articles
| Title: |
A-Optimality Standardized Through the Coefficient of Variation |
| Author: |
Lopez-Fidalgo, J. Rivas-Lopez, M. J. Fernandez-Garzon, B. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 36 (2007) nr. 4 pages 781-792 |
| Year: |
2007-03 |
| Contents: |
Many of the usual criteria for optimal experimental design do not take into account the different scale of the variance of the parameters. Dette (1997) provided a standardization which leads to designs with similar efficiencies for all of the parameters. In this article, a new way of standardization through the coefficient of variation is given. This leads to designs useful when one of the parameters is expected to be very small. Thus, this criterion may be used if there is special interest in maximizing the power of some parameter tests. Locally standardized through the coefficient of variation A-optimal designs are computed for simple linear and quadratic regression. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 4 of 16 found articles
| << previous | next >> |