Power with small effect size (ρ=0.1) for different sample sizes (n) and combinations
Multivariate methods and small sample size: combining with small effect size
11
Effect Of Sample Sizes On The Empirical Power Of Some Tests Of Homogeneity Of Variances
16
Comparing the simulated power of discrete goodness-of-fit tests for small sample sizes
7
Nonparametric Independence Testing for Small Sample Sizes
7
Sample size and power calculations
20
A Technique to compare ewmad2 scheme with different sample sizes
8
Effect of small sample size on text categorization with support vector machines
9
Chapter 9. Two-Sample Tests. Effect Sizes and Power Paired t Test Calculation
38
Power and sample size in multilevel modeling
7
Estimating the Context Effect in a Multilevel Latent Model with Small Sample Sizes: A Monte Carlo Simulation Study
7
Epidemiological Studies Based on Small Sample Sizes – A Statistician's Point of View
14
Using the Student s t-test with extremely small sample sizes
12
The effect of different combinations of vascular, dependency and cognitive endpoints on the sample size required to detect a treatment effect in trials of treatments to improve outcome after lacunar and non lacunar ischaemic stroke
8
The effect of statistical error model formulation on the fit and selection of mathematical models of tumor growth for small sample sizes
31
How sample size can effect landslide size distribution
11
Assessing normality for data with different sample sizes using SAS, Minitab and R
6
Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes
27
Sample size and power considerations in network meta-analysis
13
Power and sample size determinations in dynamic risk prediction
59
Empirical Determination of the Tolerable Sample Size for Ols Estimator in the Presence of Multicollinearity (ρ)
9