Space-time adaptive processing (STAP) is a fundamental topic in airborne radar applications due to its clutter suppression ability. Reduced-dimension (RD)-STAP can release the requirement of number training samples and reduce computational load from traditional STAP, which attracts much attention. However, under situation that are severely deficient, RD-STAP will become poor like STAP. To enhan...

We introduce a class of $\gamma$-negatively dependent random samples. prove that this includes, apart from Monte Carlo samples, in particular Latin hypercube samples and padded by Carlo. For $N$-point sample dimension $d$ we provide probabilistic upper bounds for its star discrepancy with explicitly stated dependence on $N$, $d$, $\gamma$. These generalize the [Heinrich et al., Acta Arith. 96 (...

1. Plants interact with many organisms, such as microbes and herbivores, and these interactions are likely to affect the establishment and spread of plants. In the context of plant invasions, mycorrhizal fungi and constitutive and induced resistance of plants against herbivores have received attention independently of each other. However, plants are frequently involved in complex multi-trophic ...

For certain kinds of statistical simulations and Bayesian analyses, it is necessary to generate random samples from multivariate distributions. SAS/IML software provides the RANDGEN function for generating random samples from univariate distributions. However, the only subroutine for sampling from multivariate distributions is SAS/IML’s VNORMAL call, which samples from multivariate normal distr...

Aims: To test for the presence of bias on use of a common psychometric instrument, the Strengths and Difficulties Questionnaire (SDQ), in studies of children with same-sex parents using a recruited convenience sample. Study Design: Non-parametric quasi-experimental two-group comparison. Methodology: Results from five qualifying studies, two with random samples and three with recruited samples, ...