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
semanticscholar +11 more sources
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 +8 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
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
semanticscholar +6 more sources
An insertion/deletion polymorphism in the angiotensin I-converting enzyme gene accounting for half the variance of serum enzyme levels. [PDF]
A polymorphism consisting of the presence or absence of a 250-bp DNA fragment was detected within the angiotensin I-converting enzyme gene (ACE) using the endothelial ACE cDNA probe. This polymorphism was used as a marker genotype in a study involving 80
Brigitte Rigat+5 more
openalex +2 more sources
The implementation of genomic selection in recurrent breeding programs raises the concern that a higher inbreeding rate could compromise the long-term genetic gain.
Antoine Allier+5 more
doaj +2 more sources
Accounting for Variance in Machine Learning Benchmarks
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
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