Traditional lot quality assurance sampling (LQAS) methods require simple random sampling to guarantee valid results. However, cluster sampling has been proposed to reduce the number of random starting points. This study uses simulations to examine the classification error of two such designs, a 67x3 (67 clusters of three observations) and a 33x6 (33 clusters of six observations) sampling scheme...

A method for non-parametric regression effects is applied to spatially configured data, using a generalised additive form that allows regression effects to vary over areas. The focus is on discrete outcomes in disease mapping but can be adapted to metric outcomes. Specifically a mixed model is proposed that combines a local general additive model (GAM) element for each area with a spatially fil...

A new class of transient transport near the critical gradient (CG) referred to as GAM growing intermittency due to the collision-less GAM damping has been found based on Landau-fluid simulation[Miki, et al., Phys. Rev. Letts. 99, 145003 (2007)]. Here, we present a new predator-prey model to understand the essential features of the growing intermittency. We have also extended the simulation mode...

This paper addresses two concerns with the state of the art in network revenue management with dependent demands. The first concern is that the basic attraction model (BAM), of which the multinomial logit (MNL) model is a special case, tends to overestimate demand recapture in practice. The second concern is that the choice based deterministic linear program, currently in use to derive heuristi...

Current therapies for high-grade gliomas extend survival only modestly. The glioma microenvironment, including glioma-associated microglia/macrophages (GAM), is a potential therapeutic target. The microglia/macrophage cytokine CSF1 and its receptor CSF1R are overexpressed in human high-grade gliomas. To determine whether the other known CSF1R ligand IL34 is expressed in gliomas, we examined exp...

BACKGROUND Hu County is a serious hemorrhagic fever with renal syndrome (HFRS) epidemic area, with notable fluctuation of the HFRS epidemic in recent years. This study aimed to explore the optimal model for HFRS epidemic prediction in Hu. METHODS Three models were constructed and compared, including a generalized linear model (GLM), a generalized additive model (GAM), and a principal componen...

Generalized additive models are useful in finding predictor-response relationships in many kinds of data without using a specific model. They combine the ability to explore many nonparametric relationships simultaneously with the distributional flexibility of generalized linear models. The approach often brings to light nonlinear dependency structures in your data. This paper discusses an examp...