Estimating optimal sample size for tardigrade morphometry

Resampling-based software for estimating optimal sample size

The SISSI program implements a novel approach for the estimation of the optimal sample size in experimental data collection. It provides a visual evaluation system of sample size determination, derived from a resampling-based procedure (namely, jackknife). The approach is based on intensive use of the sample data by systematically taking sub-samples of the original data set, and calculating mea...

Optimal Non-Parametric Prediction Intervals for Order Statistics with Random Sample Size

‎ In many experiments, such as biology and quality control problems, sample size cannot always be considered as a constant value. Therefore, the problem of predicting future data when the sample size is an integer-valued random variable can be an important issue. This paper describes the prediction problem of future order statistics based on upper and lower records. Two different cases for the ...

Optimal Sample Size for Adword Auctions

Generalized Second Price (GSP) mechanism is widely used in ad auctions and reserve price is an effective tool for revenue maximization. The optimal reserve price depends on bidders’ value distribution, which, however, is generally unknown to auctioneers. A common practice for auctioneers is to first collect information about the value distribution by a sampling procedure and then apply the rese...

Optimal Sample Size for Multiple Testing :

Sample size determination for logistic regression

The problem of sample size estimation is important in medical applications, especially in cases of expensive measurements of immune biomarkers. This paper describes the problem of logistic regression analysis with the sample size determination algorithms, namely the methods of univariate statistics, logistics regression, cross-validation and Bayesian inference. The authors, treating the regr...