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Statistical indicators of optimality

14th Annual Symposium on Switching and Automata Theory (swat 1973), 1973
Neighborhood search has been used with some success in providing approximate solutions to discrete optimization problems. The technique produces solutions which may be locally but not globally optimal. For a particular class of problems this paper describes a method for analyzing the relative effectiveness associated with different neighborhoods in ...
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The indicator formalism in spatial statistics

Journal of Applied Statistics, 1992
In this paper the indicator approach in spatial data analysis is presented for the determination of probability distributions to characterize the uncertainty about any unknown value. Such an analysis is non-parametric and is done independently of the estimate retained.
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Statistical indicator functions

Optical Engineering, 1993
Statistical indicator functions are developed that evaluate 10-cal hypothesis tests to detect the location of generalized boundaries within images. Functions based on T test, F test, and nonparametric Kolmogorov-Smirnov tests are developed, and implementation strategies for use as image processing operators are presented.
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Statistical population indices

Vistas in Astronomy, 1966
Abstract A method is proposed for determining statistical probability of a star belonging to one of the two main population types from its position and motion.
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Statistical Indicators

1993
We are constantly bombarded by statistical indicators, from weather reports to election results and stock market trends. Many of these indicators govern our lives. This book demystifies the scientific or pseudo-scientific aura that surrounds indicators and shows how they can be usefully applied for practical purposes.
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