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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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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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Using Statistics To Evaluate A History Match
Proceedings of Abu Dhabi International Petroleum Exhibition and Conference, 2002Abstract Three methods are proposed for quickly evaluating the history match of a numerical simulation to actual reservoir performance. All of the methods rely on computing a set of deviation values, each of which is defined to be a calculated simulator result minus the corresponding surveillance measurement value. For any
Saad Matar, Hugh Miller, David Uldrich
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An Evaluation of Statistical Matching
Journal of Business & Economic Statistics, 1984The validity of findings based on statistically matched data sets depends on the accuracy of underlying assumptions about relationships between variables that are unique to each input file. Simulations of statistical matching procedures on samples from populations with known characteristics provide the basis for an evaluation of the usefulness of ...
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An investigation of statistical matching
Journal of Applied Statistics, 1988This Paper examines the file-merging technique of statistical matching. Details are given of both its practical application and its numerical accuracy. In particular, it is shown that the ability of statistical matching to recreate correlations between variables existing only in different files is dependent on some respective assumptions which are ...
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1996
Sometimes it is reported that the average lawyer earns a lot of money; at the same time, the median income of lawyers is reported to be more modest. One year the average team in the National Football League made a sizable profit while the median team barely broke even. People often confuse the mean and the median of a distribution.
Mrudulla Gnanadesikan +3 more
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Sometimes it is reported that the average lawyer earns a lot of money; at the same time, the median income of lawyers is reported to be more modest. One year the average team in the National Football League made a sizable profit while the median team barely broke even. People often confuse the mean and the median of a distribution.
Mrudulla Gnanadesikan +3 more
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On the statistics of matching pursuit angles [PDF]
Signal Processing, 2010 Matching pursuit decompositions have been employed for signal coding. For this purpose, matching pursuit coefficients need to be quantized. However, their behavior has been shown to be chaotic in some cases; posing difficulties to their modeling and quantizer design. In this work, a different approach is presented.
Paulo S. R. Diniz +2 more
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Statistical learning in official statistics: The case of statistical matching
Statistical Journal of the IAOS: Journal of the International Association for Official Statistics, 2019Data integration is becoming a crucial task in National Statistical Institutes in order to exploit the information provided by already existing data sources. Here the focus is on statistical matching methods; they are designed to integrate data stemming out from traditional sample surveys referred to the same target population. In particular, this work
Marcello D'Orazio, Marcello D'Orazio
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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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A Statistical Analysis on Assortative Matching
SSRN Electronic Journal, 2004We consider the problem of statistical analysis on assortative matching. The random vector of interests consists of the age and the history of the first passage time of each of the newly-formed pairs. Complete data are not often available, however.
Qiqing Yu, Linda Y. Wong
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