Why the range of a robust statistic under interval uncertainty is often easier to compute | Zendy

Olga Kosheleva | Zendy; Владик Крейнович | Zendy

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Why the range of a robust statistic under interval uncertainty is often easier to compute

Author(s) -

Olga Kosheleva,

Владик Крейнович

Publication year - 2016

Publication title -

journal of innovative technology and education

Language(s) - English

Resource type - Journals

ISSN - 2367-5608

DOI - 10.12988/jite.2016.613

Subject(s) - statistic , statistics , sample (material) , range (aeronautics) , sample variance , mathematics , variance (accounting) , sample mean and sample covariance , interval (graph theory) , order statistic , sample size determination , combinatorics , physics , engineering , aerospace engineering , accounting , estimator , business , thermodynamics

In statistical analysis, we usually use the observed sample values x1, . . . , xn to compute the values of several statistics v(x1;:::;xn) { such as sample mean, sample variance, etc. The usual formulas for these statistics implicitly assume that we know the exact values x1;:::;xn. In practice, the sample values e

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