Fatigue Test by Staircase Method with Small Samples

Structural Equation Modeling with Small Samples: Test Statistics.

Structural equation modeling is a well-known technique for studying relationships among multivariate data. In practice, high dimensional nonnormal data with small to medium sample sizes are very common, and large sample theory, on which almost all modeling statistics are based, cannot be invoked for model evaluation with test statistics. The most natural method for nonnormal data, the asymptoti...

A simulation-based investigation of the staircase method for fatigue strength testing

A critical evaluation of the statistics of the fatigue strength distribution as determined by the staircase (or up-and-down) method is presented. The effects of test parameters (namely, step size and sample size) were analyzed using numerical simulation to determine the accuracy of fatigue strength standard deviation calculations using traditional staircase statistics, resulting in a quantifica...

On Small Samples Testing for Frailty Through Homogeneity Test

This page lists questions we have about your paper. The numbers displayed at left can be found in the text of the paper for reference. In addition, please review your paper as a whole for correctness. Q1. Au: Primary and Secondary classifications are required. Please provide the appropriate primary and secondary classifications from 5 We derive a test in order to examine the need of modeling su...

An Unconditional Exact Test For Small Samples Matched Binary Pairs

A test for checking earthquake aperiodicity estimates from small samples

In recent years, many new models for earthquake recurrence were proposed. Some are focusing on the clustering properties on a small time scale, while others try to model the long term behavior of large mainshocks. To this last purpose, there is a growing interest for models that take into account the aperiodicity aiming to a time-dependent hazard estimate. It is well known that a limited number...