482期

最新文章

• Toward causal inference with interference AI翻译
  作者：Hudgens, Michael G.; Halloran, M. Elizabeth
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Washington; University of Washington Seattle; Fred Hutchinson Cancer Center; University of Washington; University of Washington Seattle
  摘要：A fundamental assumption usually made in causal inference is that of no interference between individuals (or units); that is, the potential outcomes of one individual are assumed to be unaffected by the treatment assignment of other individuals. However, in many settings, this assumption obviously does not hold. For example, in the dependent happenings of infectious diseases, whether one person becomes infected depends on who else in the population is vaccinated. In this article, we consider a...
• Inference for a proton accelerator using convolution models AI翻译
  作者：Lee, Herbert K. H.; Sanso, Bruno; Zhou, Weining; Higdon, David M.
  作者单位：University of California System; University of California Santa Cruz; Yahoo! Inc; United States Department of Energy (DOE); Los Alamos National Laboratory
  摘要：Proton beams present difficulties in analysis because of the limited data that can be collected. The study of such beams must depend on complex computer simulators that incorporate detailed physical equations. The statistical problem of interest is to infer the initial state of the beam from the limited data collected as the beam passes through a series of focusing magnets. We are thus faced with a classic inverse problem where the computer simulator links the initial state to the observables....
• Fiducial intervals for variance components in an unbalanced two-component normal mixed linear model AI翻译
  作者：Lidong, E.; Hannig, Jan; Iyer, Hari
  作者单位：Colorado State University System; Colorado State University Fort Collins
  摘要：In this article we propose a new method for constructing confidence intervals for sigma(2)(alpha), sigma(2)(epsilon), and the interclass correlation rho = sigma(2)(alpha)/(sigma(2)(alpha)+sigma(2)(epsilon)) in a two-component mixed-effects linear model. This method is based on an extension of R. A. Fisher's fiducial argument. We conducted a simulation study to compare the resulting interval estimates with other competing confidence interval procedures from the literature. Our results demonstra...
• Statistical modeling and analysis for robust synthesis of nanostructures AI翻译
  作者：Dasgupta, Tirthankar; Ma, Christopher; Joseph, V. Roshan; Wang, Z. L.; Wu, C. F. Jeff
  作者单位：Harvard University; University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology
  摘要：We systematically investigate the best process conditions that ensure synthesis of different types of one-dimensional cadmium selenide nanostructures with high yield and reproducibility. Through a designed experiment and rigorous statistical analysis of experimental data, models linking the probabilities of obtaining specific morphologies to the process variables are developed. A new iterative algorithm for fitting a multinomial generalized linear model is proposed and used. The optimum proces...