Missing Data Imputation and Corrected Statistics for Large-Scale Behavioral Databases [PDF]
, 2011 This paper presents a new methodology to solve problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, and a new method of imputation for missing data is ...
Courrieu, Pierre, Rey, Arnaud
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Optimal and fast detection of spatial clusters with scan statistics [PDF]
, 2010 We consider the detection of multivariate spatial clusters in the Bernoulli model with $N$ locations, where the design distribution has weakly dependent marginals.
Walther, Guenther
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Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function [PDF]
, 2005 In this paper we propose a general methodology, based on multiple testing, for testing that the mean of a Gaussian vector in R^n belongs to a convex set. We show that the test achieves its nominal level, and characterize a class of vectors over which the
Baraud, Yannick +2 more
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The Effect of the Financial Crisis on the Taxation of Consumption, Labour, and Capital in the European Union [PDF]
, 2013 4. For the purpose of this paper we used statistics prepared according to the methodology adopted by the European Commission, published in “Taxation trends in the European Union”, Eurostat 2012.Materiały statystyczne wykorzystane w artykule pochodzą z ...
Krajewska, Anna
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Selected Challenges From Spatial Statistics For Spatial Econometricians [PDF]
, 2012 Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometrics topics that address issues associated with spatial econometric methodology.
Griffith, Daniel A.
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Challenges in Dental Statistics: Survey Methodology Topics [PDF]
, 2013 This paper gathers some contributions concerning survey methodology in dental research, as discussed during the first Workshop of the SISMEC STATDENT working group on statistical methods and applications in dentistry, held in Ancona on the 28th September
Milani, S +3 more
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Rarefaction, Alpha Diversity, and Statistics
bioRxiv, 2017 Understanding the drivers of microbial diversity is a fundamental question in microbial ecology. Extensive literature discusses different methods for describing microbial diversity and documenting its effects on ecosystem function.
A. Willis
semanticscholar +1 more source
Quantile regression with varying coefficients
, 2007 Quantile regression provides a framework for modeling statistical quantities of interest other than the conditional mean. The regression methodology is well developed for linear models, but less so for nonparametric models.
Kim, Mi-Ok
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Mastering the descriptive statistics used in otorhinolaryngology.
European Annals of Otorhinolaryngology Head and Neck Diseases, 2020 As a key player in modern scientific methodology, statistics, the science of collecting, processing and analyzing data from observation of random phenomena (i.e., in which chance is a factor), is an essential part of the process of formulating a research
O. Laccourreye, R. Jankowski, Q. Lisan
semanticscholar +1 more source
Optimal experiment design in a filtering context with application to sampled network data [PDF]
, 2009 We examine the problem of optimal design in the context of filtering multiple random walks. Specifically, we define the steady state E-optimal design criterion and show that the underlying optimization problem leads to a second order cone program.
Michailidis, George, Singhal, Harsh
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