Maximin designs for exponential growth models and heteroscedastic polynomial models

By Lorens A. Imhof. 2001

74 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c905ceed6af7c25f910fdbd32ad7b4a13affcc49

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Weng Kee Wong
2. Holger Dette
3. Viatcheslav B. Melas

In Management Science and Operations Research

1. Weng Kee Wong
2. Holger Dette
3. Viatcheslav B. Melas
4. Min Yang
5. John Stufken

In Statistics and Probability

1. Weng Kee Wong
2. Holger Dette
3. Viatcheslav B. Melas
4. Min Yang
5. I. Van Keilegom
6. Natalie Neumeyer
7. Johan Segers
8. Stanislav Volgushev

Citations in the corpus

• Optimal Design for Goodness-of-Fit of the Michaelis–Menten Enzyme Kinetic Function (2005, methodology): “In Section 4 we propose standardized maximin-optimal designs (Müller 1995; Dette 1997; Imhof 2001; Imhof and Wong 2000) as more robust alternatives.”
• A note on the de la Garza phenomenon for locally optimal designs (2011, unknown): “…design is saturated, which means that the number of different experimental conditions coincides with the number of parameters in the model [see, e.g., He, Studden and Sun (1996), Dette and Wong (1996), Imhof and Studden (2001), Imhof (2001), Melas (2006), Fang and Hedayat (2008) among many others].”