small sample size problem
Edgeworth Approximation of a Finite Sample Distribution for an AR(1) Model with Measurement Error
... The Ordinary Least Squares (OLS) estimator for the AR(1) model is one of the most general estimators in economet- rics, and a number of studies considering the properties of the OLS estimator under certain conditions ...
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An Efficient Dimensionality Reduction Approach for Small-sample Size and High-dimensional Data Modeling
... In this section, data was used to organizing into high order tensor pattern. For example, in atmospheric corrosion problem, year and environment influential factors was used to represent two degrees of freedom in ...
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Testing for instability in covariance structures
... changepoint problem available in statistics and in ...the sample is a typical feature in this literature (see also [2]), which somewhat limits the applicability of the ...severe size distortions in ...
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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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Evaluation of the Propensity score methods for estimating marginal odds ratios in case of small sample size
... the problem with OR, usually described as non-collapsibility, refers to the fact that conditional and marginal effects might differ unless the true effect is null ...the small sam- ple ...of sample ...
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How sample size can effect landslide size distribution
... the problem whether increased rainfall intensity will increase the relative pro- portion of small size landslides or large size ...ple size less than ...
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Testing for instability in covariance structures
... changepoint problem available in statistics and in ...the sample is a typical feature in this literature (see also [2]), which somewhat limits the applicability of the ...severe size distortions in ...
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An Improved Algorithm for Imbalanced Data and Small Sample Size Classification
... imbalanced problem, over-sampling the minority class samples on train- ing data with different methods, for SSS problem, over-sampling the two class samples on the training data with different methods; 3) ...
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Multivariate methods and small sample size: combining with small effect size
... known problem 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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A complete investigation of using weighted kernel regression for the case of small sample problem with noise
... solve small and limited training samples problem, LOOCV is found to offer several advantages in terms of information retrieval and computational ...of size -1 and a validation of size ...
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The efficacy and safety of multiple doses of vortioxetine for generalized anxiety disorder: a meta-analysis
... In conclusion, our meta-analysis of published RCTs showed that vortioxetine is not superior to placebo in reducing HAM-A scores in individuals with a primary diagnosis of GAD, and nausea was more frequent with higher ...
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Geochemical Signatures of Stream Capture in the Retreating Blue Ridge Escarpment, Southern Appalachian Mountains
... estimation problem compounding with the budget constraints call for other methods of indirect estimation that help overcome these ...in Small Area Estimation” paper, explained in detail the advantages of ...
151
Do size and age of small and medium-sized enterprises matter in corporate social responsibility?
... century, since in that time even small corporations started to run business on international market in huge numbers. Even from these corporations began to be expected that they will take responsibility for the ...
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A Robust and Scalable Solution for Interpolative Multidimensional Scaling With Weighting
... in- sample data, and rest 2640 sequences were considered as out- of-sample ...relatively small, we tested the sequential version of both Full MDS and ...
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Factors Affecting The Job Satisfaction And Performance Of Nurses Private Hospitals Class B In Makassar
... the problem of air temperature on work place, the space of work place, job security, work equipment, relationships among employees and relationship with ...
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Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows
... An important task in susceptibility modelling is model build- ing, i.e. the selection of the independent variables (geofac- tors). In Sect. 3.1, several candidate variables are described that conceptually explain the ...
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Sample size calculations for skewed distributions
... can be somewhat complex to use. In particular, not all of them yield an explicit formula for sample size. In the current paper we consider a comparison of two means, i.e. a dichotomous predictor variable. ...
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Sample Size in Arabic Authorship Verification
... document size of the fiction and nonfiction ...document size in these two domains means that all the observations related to those two domains are clustered towards the upper bound of the word count, ...
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Sample Size in Arabic Authorship Verification
... AA problem, and using familiar AA ...the problem as attributing a question tweet to one of a number of ...attribution problem will then return the suspect with the closes style out of the group ...
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Sample size: How many is enough?
... statistical differences. It is then essential to consider what the attrition of participants in the study is likely to be, and the sample size should be increased to account for this attrition. Potential ...
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