Accounting for item variance in large-scale databases [PDF]
The Dutch Lexicon Project (DLP, Keuleers et al., 2010) is the third published database providing lexical decision times for a large number of items (after the ELP, Balota et al., 2007, and the FLP, Ferrand et al., 2010). In this commentary, we address the issue of the amount of item variance that models should really try to account for in the DLP ...
Arnaud eRey, Pierre eCourrieu
doaj +15 more sources
ACCOUNTING FOR VARIANCE IN HYPERSPECTRAL DATA COMING FROM LIMITATIONS OF THE IMAGING SYSTEM [PDF]
Over the course of the past few years, a number of methods was developed to incorporate hyperspectral imaging specifics into generic data mining techniques, traditionally used for hyperspectral data processing.
B. Shurygin+4 more
doaj +6 more sources
Accounting for Variance in Machine Learning Benchmarks [PDF]
Strong empirical evidence that one machine-learning algorithm A outperforms another one B ideally calls for multiple trials optimizing the learning pipeline over sources of variation such as data sampling, data augmentation, parameter initialization, and hyperparameters choices. This is prohibitively expensive, and corners are cut to reach conclusions.
Xavier Bouthillier+16 more
openalex +5 more sources
Data Sparseness and Variance in Accounting Profitability [PDF]
A central question in strategic management is why some firms perform better than others. One approach to addressing this question empirically is to decompose the variance in firm-level profitability into firm, industry, location, and year components.
Spyridon Stavropoulos+3 more
openaire +10 more sources
The factor paradox: Common factors can be correlated with the variance not accounted for by the common factors! [PDF]
The case that the factor model does not account for all the covariances of the observed variables is considered. This is a quite realistic condition because some model error as well as some sampling error should usually occur with empirical data. It is shown that principal components representing covariances not accounted for by the factors of the ...
André Beauducel
arxiv +3 more sources
Accounting for unequal variances in evolutionary trend mechanisms [PDF]
Evolutionary trends seemingly abound throughout the history of life. Perhaps the best-known example is Cope's rule, the tendency for lineages to increase in size over time. Other examples include hypothesized trends toward increasing complexity and fitness.
Steve C. Wang
openalex +4 more sources
Uncovering hidden variance: pair-wise SNP analysis accounts for additional variance in nicotine dependence [PDF]
Results from genome-wide association studies of complex traits account for only a modest proportion of the trait variance predicted to be due to genetics. We hypothesize that joint analysis of polymorphisms may account for more variance. We evaluated this hypothesis on a case-control smoking phenotype by examining pairs of nicotinic receptor single ...
Robert Culverhouse+9 more
openalex +5 more sources
On the Correlation of Common Factors with Variance Not Accounted for by the Factor Model [PDF]
The case that the factor model does not account for all the covariances of the observed variables is considered. It is shown that principal components representing covariances not accounted for by the factor model can have a nonzero correlation with the common factors of the factor model. The substantial correlations of components representing variance
André Beauducel, Norbert Hilger
openalex +3 more sources
Accounting for heterogeneous variances in multitrait evaluation of Jersey type traits. [PDF]
The multitrait genetic evaluation system for type traits was modified to estimate adjustments for heterogeneous variance (HV) simultaneously with estimated breeding values (EBV) for final score and 14 linear traits. Each variance within herd, year, and parity was regressed toward a predicted variance, which was determined by fitting a model with fixed ...
N. Gengler+4 more
openalex +7 more sources
A Variance Decomposition Primer for Accounting Research
This pedagogical note introduces the accounting-based variance decomposition methodology of Vuolteenaho (2002) in a relatively simple format for the edification of accounting scholars and doctoral students who wish to use variance decomposition in their research. In addition to presenting an example that explicates the variance decomposition approach,
Jeffrey L. Callen, Dan Segal
openalex +5 more sources