Small Sample Size
A robust model structure selection method for small sample size and multiple datasets problems
... a small set of experimental data of a system, how to build a model that best represents the underlying system dynamics hidden in the data? Most data modelling approaches can generate good models that best fit the ...
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Multivariate methods and small sample size: combining with small effect size
... with small sample size (MacCallum et ...such small sample size, it is possible to correctly rank the “best” model if the manifest variables are not ...
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An Improved Algorithm for Imbalanced Data and Small Sample Size Classification
... In the particular tasks such as face recognition (FR) [10], the number of available training samples is usually much smaller than the dimensionality of the samples pace. Consequently, the biggest challenge that all ...
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Reliability Assessment for the Solenoid Valve of a High-Speed Train Braking System under Small Sample Size
... under small sample size and zero‑failure data is very important for safe ...large sample size and complete failure data, which lead to large deviation under conditions of small ...
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Monitoring model for predicting maize grain moisture at the filling stage using NIRS and a small sample size
... on small sample set indicated that the moisture content can be predicted and monitored at the maize grain-filling ...a small sample ...
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An Efficient Dimensionality Reduction Approach for Small-sample Size and High-dimensional Data Modeling
... conduct small-sample size and high-dimensional data processing and ...high-dimensional small sample data problem, and code programming for this solution has been ...
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Evaluation of the Propensity score methods for estimating marginal odds ratios in case of small sample size
... the sample size decreased from 1,000 to 40 subjects, but that small sample sizes lead to biased estimations of the marginal treatment ...with small sample down to 40 patients. Of ...
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Effect of small sample size on text categorization with support vector machines
... whether small datasets can be used to build reliable methods of making this information ...training size relates to certain aspects of linear support vector ...too small, then even small ...
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Inferring causal relations from multivariate time series : a fast method for large scale gene expression data
... Abstract—Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic ...
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Sample Size in Arabic Authorship Verification
... of small sample size on the accuracy of AV ...use small testing and training datasets without significant accuracy sacrifices in an Arabic AV task? Recent developments in AV (and AA) have ...
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How sample size can effect landslide size distribution
... of sample size on exploiting landslide area ...as sample size gets smaller, both the reliability of the parameter estimation and the statistical signifi- cance of the variances in parameters ...
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Edgeworth Approximation of a Finite Sample Distribution for an AR(1) Model with Measurement Error
... In the simulation work, we have compared naive OLS estimator with the IV estimator which is a consistent es- timator in the presence of noise. We can confirm that, even if the measurement errors is exist, the OLS estima- ...
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Circulating microRNAs Reveal Time Course of Organ Injury in a Porcine Model of Acetaminophen-Induced Acute Liver Failure
... in small fold changes, the small sample size used in this study and the region specific tissue injury caused by APAP, particularly in the liver and ...
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Cardiovascular magnetic resonance feature tracking in small animals – a preliminary study on reproducibility and sample size calculation
... Sample size calculation is an important aspect of study design and enables determination of how large the study sample should ...Too small sample size can miss the real effect, ...
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Sample size for estimation of direct effects in path analysis of corn.
... adequate sample size is important for the accurate estimation of the path ...a small sample size may result in estimates of direct and indirect effects with high standard error values ...
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A Review of Control Banding and Traditional Industrial Hygiene Sampling Methods for Determining Risk Assessment of Engineered Nanomaterials in the Workplace
... environment. Data on the material hazard and exposure/emission potential that were available onsite were collected from a review of documentation and this information was subjected to ANSES, CB nanotool, ISO 12901-2 and ...
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Geochemical Signatures of Stream Capture in the Retreating Blue Ridge Escarpment, Southern Appalachian Mountains
... In terms of coverage, the 2010 BRFSS survey was able to cover only 1,188 Counties among 1,497 Counties under our study. In fact states do conduct additional surveys in order to fill BRFSS’s coverage gap, such as Florida ...
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Sample size recommendation for a bioequivalent study
... This observation is based on simulated data for which the drugs are bioequivalent for one study and not bioequivalent for other study. Even with a small sample size we are able to prove it. Planning ...
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Fixed Sample Size as an Internal Control
... The effectiveness of internal control was tested with two analyzes. The first analysis is an analysis of the elements of internal control in the credit system and second analysis with statistical methods, namely the ...
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Sample size: How many is enough?
... each other and is a reflection of how well the sample reflects the study population. Homogeneity is generally measured using the standard deviation. For example it can be expected that different intensive care ...
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