Abstract
In this chapter the main definitions and results about an efficient inference in planned experiments is given for situations where the error distribution is ideal, i.e. where no outliers or other deviations appear. At first in Section 2.1 the ideal distribution of the errors is given. Then in Section 2.2 the efficiency concepts are given for estimating or testing a linear aspect in a linear model. Efficiency concepts for estimating a nonlinear aspect in a linear model or for estimation in a nonlinear model are presented in Section 2.3.
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© 1997 Springer-Verlag New York, Inc.
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Müller, C.H. (1997). Efficiency Concepts for Outlier-Free Observations. In: Robust Planning and Analysis of Experiments. Lecture Notes in Statistics, vol 124. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2296-5_2
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DOI: https://doi.org/10.1007/978-1-4612-2296-5_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98223-6
Online ISBN: 978-1-4612-2296-5
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