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1by Garcia, Damien Published in Computational statistics & data analysis (2010)“...A fully automated smoothing procedure for uniformly sampled datasets is described. The algorithm, based on a penalized least squares method, allows fast...”
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2by Ospina, Raydonal Ferrari, Silvia L.P Published in Computational statistics & data analysis (01.06.2012)“...This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones. The proposed class of models assumes...”
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3by Berry, Michael W Browne, Murray Langville, Amy N Pauca, V. Paul Plemmons, Robert J Published in Computational statistics & data analysis (2007)“...The development and use of low-rank approximate nonnegative matrix factorization (NMF) algorithms for feature extraction and identification in the fields of...”
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4by Kim, Ji-Hyun Published in Computational statistics & data analysis (2009)“...We consider the accuracy estimation of a classifier constructed on a given training sample. The naive resubstitution estimate is known to have a downward bias...”
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5“...The problem of variable selection within the class of generalized additive models, when there are many covariates to choose from but the number of predictors...”
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6by Alexander, Carol Cordeiro, Gauss M Ortega, Edwin M.M Sarabia, José María Published in Computational statistics & data analysis (01.06.2012)“...This article introduces generalized beta-generated (GBG) distributions. Sub-models include all classical beta-generated, Kumaraswamy-generated and...”
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7by Tenenhaus, Michel Vinzi, Vincenzo Esposito Chatelin, Yves-Marie Lauro, Carlo Published in Computational statistics & data analysis (2005)“...A presentation of the Partial Least Squares approach to Structural Equation Modeling (or PLS Path Modeling) is given together with a discussion of its...”
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8“...Microarray studies yield data sets consisting of a large number of candidate predictors (genes) on a small number of observations (samples). When interest lies...”
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9“...The boxplot is a very popular graphical tool for visualizing the distribution of continuous unimodal data. It shows information about the location, spread,...”
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10“...An approximate small sample variance estimator for fixed effects from the multivariate normal linear model, together with appropriate inference tools based on...”
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11by Hyndman, Rob J Ahmed, Roman A Athanasopoulos, George Shang, Han Lin Published in Computational statistics & data analysis (2011)“...In many applications, there are multiple time series that are hierarchically organized and can be aggregated at several different levels in groups based on...”
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12by González-Rodríguez, Gil Colubi, Ana Gil, María Ángeles Published in Computational statistics & data analysis (01.04.2012)“...The use of the fuzzy scale of measurement to describe an important number of observations from real-life attributes or variables is first explored. In contrast...”
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13“...Cross-validation is a tried and tested approach to select the number of components in principal component analysis (PCA), however, its main drawback is its...”
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15“...New imputation algorithms for estimating missing values in compositional data are introduced. A first proposal uses the k -nearest neighbor procedure based on...”
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16by Hennig, Christian Published in Computational statistics & data analysis (2007)“...Stability in cluster analysis is strongly dependent on the data set, especially on how well separated and how homogeneous the clusters are. In the same...”
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17“...A new method is proposed for forecasting age-specific mortality and fertility rates observed over time. This approach allows for smooth functions of age, is...”
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18by Simas, Alexandre B Barreto-Souza, Wagner Rocha, Andréa V Published in Computational statistics & data analysis (2010)“...In this article, we extend the beta regression model proposed by Ferrari and Cribari-Neto (2004), which is generally useful in situations where the response is...”
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19“...The datasets used in statistical analyses are often small in the sense that the number of observations n is less than 5 times the number of parameters p to be...”
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20by Peres-Neto, Pedro R Jackson, Donald A Somers, Keith M Published in Computational statistics & data analysis (2005)“...Principal component analysis is one of the most widely applied tools in order to summarize common patterns of variation among variables. Several studies have...”