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Improved Prediction Intervals and Distribution Functions

Scandinavian Journal of Statistics, 2009
Abstract.  The plug‐in solution is usually not entirely adequate for computing prediction intervals, as their coverage probability may differ substantially from the nominal value. Prediction intervals with improved coverage probability can be defined by adjusting the plug‐in ones, using rather complicated asymptotic procedures or suitable simulation ...
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Intervals and step functions

1997
Abstract According to our manifesto in Chapter 1, any finite linear combination of characteristic functions of bounded intervals must be integrable. We now investigate these functions in detail. They have step-like graphs, as in Fig. 1.4, and serve as approximations to more familiar continuous functions, as shown in Fig. 3.1.
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Antagonistic Game with Interval Payoff Functions

Cybernetics and Systems Analysis, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Continuous Functions on Intervals

1996
In this chapter, we begin the study of continuous functions with the special case of real-valued functions defined on an interval in R. The concepts we develop here will be reexamined in a more general setting in later chapters.
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INTERVAL MIGRATIVE FUNCTIONS

Decision Making and Soft Computing, 2014
F. T. SANTANA   +3 more
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On the Approximation of Interval Functions

2006
Many problems in interval arithmetic in a natural way lead to a quantifier elimination problem over the reals. By studying closer the precise form of the latter we show that in some situations it is possible to obtain a refined complexity analysis of the problem.
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Interval Functions and Continuity

Rendiconti del Circolo Matematico di Palermo, 1962
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