478期

最新文章

• Optimal incomplete block designs AI翻译
  作者：Morgan, J. P.
  作者单位：Virginia Polytechnic Institute & State University
  摘要：Optimal incomplete block designs are pursued through the E criterion of minimizing maximal variance. Methodology is developed for design choice based on graphs and an extensive catalog of downloadable designs is compiled. Along with the general methodology, a near complete solution for E-optimal block designs is provided for up to 15 treatments. E optimality is revealed to be a flexible criterion that, depending on the application, can offer many choices for good designs.
• Jump surface estimation, edge detection, and image restoration AI翻译
  作者：Qiu, Peihua
  作者单位：University of Minnesota System; University of Minnesota Twin Cities
  摘要：Surface estimation is important in many applications. When conventional smoothing procedures (e.g., running averages, local polynomial kernel smoothing procedures, smoothing spline procedures) are used for estimating jump surfaces from noisy data, jumps are blurred at the same time when noise is removed. In recent years, new smoothing methodologies have been proposed in the statistical literature for detecting jumps in surfaces and for estimating jump surfaces with jumps preserved. We provide ...
• Model-assisted estimation of forest resources with generalized additive models - Comment AI翻译
  作者：Christman, Mary C.
  作者单位：State University System of Florida; University of Florida
• Nonparametric tests for perfect judgment rankings AI翻译
  作者：Frey, Jesse; Ozturk, Omer; Deshpande, Jayant V.
  作者单位：Villanova University; University System of Ohio; Ohio State University; Savitribai Phule Pune University
  摘要：The ranked-set sampling literature includes both inference procedures that rely on the assumption of perfect rankings and inference procedures that are robust to violations of this assumption. Procedures that assume perfect rankings tend to be more efficient when rankings are in fact perfect, but they may be invalid when perfect rankings fail. As a result, users of ranked-set sampling must decide between efficiency and robustness, and there is at present little to guide their decision. In this...
• Combining information from two surveys to estimate county-level prevalence rates of cancer risk factors and screening AI翻译
  作者：Raghunathan, Trivellore E.; Xie, Dawei; Schenker, Nathaniel; Parsons, Van L.; Davis, William W.; Dodd, Kevin W.; Feuer, Eric J.
  作者单位：University of Michigan System; University of Michigan; University of Pennsylvania; Centers for Disease Control & Prevention - USA; CDC National Center for Health Statistics (NCHS); National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH Division of Cancer Control & Population Sciences
  摘要：Cancer surveillance research requires estimates of the prevalence of cancer risk factors and screening for small areas such as counties. Two popular data sources are the Behavioral Risk Factor Surveillance System (BRFSS), a telephone survey conducted by state agencies, and the National Health Interview Survey (NHIS), an area probability sample survey conducted through face-to-face interviews. Both data sources have advantages and disadvantages. The BRFSS is a larger survey and almost every cou...
• High-dimension, low-sample size perspectives in constrained statistical inference: The SARSCoV RNA genome in illustration AI翻译
  作者：Sen, Pranab K.; Tsai, Ming-Tien; Jou, Yuh-Shan
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
  摘要：High-dimensional categorical data models, often with inadequately large sample sizes, crop up in many fields of application. The SARS epidemic, originating in southern China in 2002, had an identified single-stranded and positive-sense RNA virus with large genome size and moderate mutation rate. The present genomic study is used as a prime illustration for motivating appropriate statistical methodology for comprehending the genomic variation in such high-dimensional categorical data models. Be...
• Spatiotemporal models for region of interest analyses of functional neuroimaging data AI翻译
  作者：DuBois Bowman, F.
  作者单位：Emory University; Rollins School Public Health
  摘要：In vivo functional neuroimaging technology enables the evaluation of behavior-related changes in measured brain activity within specific cortical regions of interest (ROIs). When sufficient neurophysiologic evidence exists to restrict attention to a defined cortical region, an ROI analysis can provide powerful insights regarding neural representations of cognition. emotions. behaviors, and the neuropathology of psychiatric disorders. Given the complexity and abundance of data from neuroimaging...
• Robust model-based and model-assisted predictors of the finite population total AI翻译
  作者：Li, Yan; Lahiri, P.
  作者单位：University System of Maryland; University of Maryland College Park; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
  摘要：The prediction approach to finite population inference has received considerable attention in recent years. Under this approach, the finite population is assumed to be a realization from a superpopulation described by a known probability model, usually a linear model. The prediction approach is often criticized for its lack of robustness against model misspecification. In this article we revisit this important issue and introduce a new robust prediction approach in which the superpopulation mo...
• Model-assisted estimation of forest resources with generalized additive models - Rejoinder AI翻译
  作者：Opsomer, Jean D.; Breidt, F. Jay; Moisen, Gretchen G.; Kauermann, Gran
  作者单位：Iowa State University; Colorado State University System; Colorado State University Fort Collins; United States Department of Agriculture (USDA); United States Forest Service; University of Bielefeld
• Model-assisted estimation of forest resources with generalized additive models - Comment AI翻译
  作者：Ruppert, David
  作者单位：Cornell University