Results 261 to 270 of about 468,748 (305)
Some of the next articles are maybe not open access.

Statistical pattern matching

Pattern Recognition Letters, 1989
Summary: A technique based on goodness-of-fit statistics is presented for classification of binary images via template matching. The approach is essentially rotation invariant and is independent of the distribution generating the images. Its validity is demonstrated by application to comparison of binary images of aircraft.
Thomas G. Ryall, John Sandor
openaire   +2 more sources

Statistics for matching

Proceedings International Conference on Microelectronic Test Structures, 2002
A statistical approach for evaluating the stochastic mismatching between two identically designed elements on the same chip is discussed. An approach to determine accurate matching parameters for a specific pair of devices and to obtain realistic worst case parameters for the area dependency model is presented.
A. Pergoot   +7 more
openaire   +1 more source

Robust statistical inference for matched win statistics

Statistical Methods in Medical Research, 2022
As alternatives to the time-to-first-event analysis of composite endpoints, the win statistics, that is, the net benefit, the win ratio, and the win odds have been proposed to assess treatment effects, using a hierarchy of prioritized component outcomes based on clinical relevance or severity. Whether we are using paired organs of a human body or pair-
openaire   +2 more sources

On the statistics of matching pursuit angles

Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lisandro Lovisolo   +2 more
openaire   +1 more source

Correction of Incoherences in Statistical Matching

2013
Statistical matching is studied inside a coherent setting, by focusing on the problem of removing inconsistencies. When structural zeros among involved variables are present, incoherencies on the parameter estimations can arise. The aim is to compare different methods to remove such incoherences based on specific pseudo-distances.
CAPOTORTI, Andrea, B. Vantaggi
openaire   +4 more sources

Statistical Matching

2006
Preface. 1 The Statistical Matching Problem. 1.1 Introduction. 1.2 The Statistical Framework. 1.3 The Missing Data Mechanism in the Statistical Matching Problem. 1.4 Accuracy of a Statistical Matching Procedure. 1.4.1 Model assumptions. 1.4.2 Accuracy of the estimator. 1.4.3 Representativeness of the synthetic file. 1.4.4 Accuracy of estimators applied
Marcello D'Orazio   +2 more
openaire   +1 more source

On a matching statistic

Statistics & Probability Letters, 1984
A discrete time process on [0,1] considered in this paper is related to various problems involving two independent samples. In particular one may suggest a simple matching rule for the case of continuously generated samples and a goodness-of-fit test based on the number of unmatched elements. A recurrence formula for computing the exact distribution of
openaire   +1 more source

Statistical Matching: Theory and Practice

Technometrics, 2007
(2007). Statistical Matching: Theory and Practice. Technometrics: Vol. 49, No. 3, pp. 361-362.
openaire   +1 more source

Statistical Matching and Official Statistics

Rivista di statistica ufficiale
Statistical matching procedures are methods that aim at the integration of sources. A description of real contexts in the Italian National Statistical Institute, in which these methods appear to be useful, is given. The necessary steps for the application of statistical matching are analysed.
D'Orazio, Marcello   +2 more
openaire   +1 more source

A statistically-based ontology matching tool

Distributed and Parallel Databases, 2017
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated development of large independent ontologies within the same or different domains with some overlapping information among them. In order to match such large ontologies, automatic matchers become an inevitable solution.
Peter Juma Ochieng, Swaib Kyanda
openaire   +1 more source

Home - About - Disclaimer - Privacy