Sensor Switching Control Under Attacks Detectable by Finite Sample Dynamic Watermarking Tests

Finite Sample Size Optimality of GLR Tests

In binary hypothesis testing, when the hypotheses are composite or the corresponding data pdfs contain unknown parameters, one can use the well known generalized likelihood ratio test (GLRT) to reach a decision. This test has the very desirable characteristic of performing simultaneous detection and estimation in the case of parameterized pdfs or combined detection and isolation in the case of ...

Two-Sample Quantile Tests Under General Conditions

Bayesian sample size determination under hypothesis tests.

We develop a Bayesian approach for calculating sample sizes for clinical trials under the framework of hypothesis tests. We extend the work of Weiss (The Statistician 1997; 46: 185-191) to include composite distributions for the treatment effect and the variance of the data within the null and alternative hypotheses. We select sample sizes using the Bayes factor and the averaged type I error an...

Sensor Network Configuration Under Physical Attacks

Sensor networks typically operate in hostile outdoor environments. In such environments, sensor networks are highly susceptible to physical attacks that can result in physical node destructions. In this paper, we study the impacts of physical attacks on sensor network configuration. Lifetime is an important metric during configuration for many sensor applications. While lifetime is constrained ...

Nonparametric K-Sample Tests via Dynamic Slicing

ISSN: 0162-1459 (Print) 1537-274X (Online) Journal homepage: http://www.tandfonline.com/loi/uasa20 Nonparametric K-Sample Tests via Dynamic Slicing Bo Jiang, Chao Ye & Jun S. Liu To cite this article: Bo Jiang, Chao Ye & Jun S. Liu (2015) Nonparametric K-Sample Tests via Dynamic Slicing, Journal of the American Statistical Association, 110:510, 642-653, DOI: 10.1080/01621459.2014.920257 To link...