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Uncertainty Analysis in Statistical Matching
Among the goals of statistical matching, a very important one is the estimation of the joint distribution of variables not jointly observed in a sample survey but separately available from independent sample surveys. The absence of joint information on the variables of interest leads to uncertainty about the data generating model.
CONTI, Pier Luigi +2 more
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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
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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
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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
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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
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Robust statistical inference for matched win statistics
Statistical Methods in Medical Research, 2022As 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-
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On the statistics of matching pursuit angles
Signal Processing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lisandro Lovisolo +2 more
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Correction of Incoherences in Statistical Matching
2013Statistical 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
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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
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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
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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
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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
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