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  • Analysis of evapotranspiration for various climatic regimes using geostatistics

    Creator:
    Nuss, Jeffery L.
    Abstract:
    Research was conducted to determine the applicability of using the theory of regionalized variables or geostatistics in characterizing the spatial variability of reference evapotranspiration (ETr) over various climatic regimes for the state of Oregon. The state was divided into five climatic regions based on topographic features and local meteorological conditions:...
    Resource Type:
    Masters Thesis
    Full Text:
    statistical ranking using the coefficient of determination for each estimating method compared to lysimeter

  • Multivariate geostatistical analysis of evapotranspiration and elevation for various climatic regimes in Oregon

    Creator:
    Martinez-Cob, Antonio
    Resource Type:
    Dissertation
    Full Text:
    However, this method is not always practical. Large absolute errors in the evapotranspiration rate may

  • Precipitation estimation in mountainous terrain using multivariate geostatistics

    Creator:
    Hevesi, Joseph A.
    Abstract:
    Estimates of average annual precipitation (AAP) are-needed for hydrologic modeling at Yucca Mtn., Nevada, site of a proposed, high-level nuclear waste repository. Historical precipitation data and station elevation were obtained for stations in southern Nevada and southeastern California. Elevations for 1,531 additional locations were obtained from topographic maps. The sample...
    Resource Type:
    Masters Thesis
    Full Text:
    Science in Geology presented on May 22, 1990. Title: PRECIPITATION ESTIMATION IN MOUNTAINOUS TERRAIN

  • Semiparametric marginal and mixed models for longitudinal data

    Creator:
    Tsai, Guei-Feng
    Abstract:
    This thesis consists of three papers which investigate marginal models, nonparametric approaches, generalized mixed effects models and variance components estimation in longitudinal data analysis. In the first paper, a new marginal approach is introduced for high-dimensional cell-cycle microarray data with no replicates. There are two kinds of correlation for cell-cycle...
    Resource Type:
    Dissertation
    Full Text:
    . The proposed procedure combines a classifying method, quadratic inference function method and

  • Estimating population totals from area frame samples

    Creator:
    Garoui, Abderrazak
    Abstract:
    Area frame sampling for agricultural statistics is a procedure currently used by the Statistical Reporting Service of the US Department of Agriculture as well as by agriculture departments in other countries. A primary advantage of the area frame is that it provides complete coverage of the population. In area frame...
    Resource Type:
    Dissertation
    Full Text:
    procedure currently used by the Statistical Reporting Service of the US Department of Agriculture as well

  • Tools for environmental statistics : creative visualization and estimating variance from complex surveys

    Creator:
    Courbois, Jean-Yves Pip
    Abstract:
    Environmental monitoring poses two challenges to statistical analysis: complex data and complex survey designs. Monitoring for system health involves measuring physical, chemical, and biological properties that have complex relations. Exploring these relations is an integral part of understanding how systems are changing under stress. How does one explore high dimensional...
    Resource Type:
    Dissertation
    Full Text:
    . Abstract approved: Environmental monitoring poses two challenges to statistical analysis: complex data

  • Statistical surface wind forecasting at Goodnoe Hills, Washington

    Creator:
    Curtis, Joel C.
    Abstract:
    Multiple linear regression was used to develop equations for 12-, 24-, and 36-hour surface wind forecasts for the wind energy site at Goodnoe Hills. Equations were derived separately for warm and cool seasons. The potential predictors included LFM II model output, MOS surface wind forecasts extrapolated from surrounding stations, pressure...
    Resource Type:
    Masters Thesis
    Full Text:
    . The statistical method employed for the development of the fore- cast equations is stepwise linear

  • Efficient classification for longitudinal data

    Creator:
    Wang, Xianlong
    Abstract:
    We propose a new classification method for longitudinal data based on a semiparametric approach. Our approach builds a classifier by taking advantage of modeling information between response and covariates for each class, and assigns a new subject to the class with the smallest quadratic distance. This enables one to overcome...
    Resource Type:
    Dissertation
    Full Text:
    Longitudinal Data Abstract approved: Annie Qu We propose a new classification method for longitudinal data

  • Higher-level Analysis of RNA-Seq Experiment: Multiple Data Sets and Multiple Genes

    Creator:
    Zhuo, Bin
    Abstract:
    Differential expression (DE) analysis is a key task in gene expression study, because it uncovers the association between expression levels of a gene and the covariates of interest. This dissertation pertains to two particular aspects of DE analysis—identifying stably expressed genes for count normalization and accounting for correlation between DE...
    Resource Type:
    Dissertation
    Full Text:
    -likelihood model, where the data are not required to be Gaussian. Our method e↵ectively adjusts for

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    FOREST REGRESSION . . . . . . . . . . . . . . . . . . . . . . . . . 18 2 GRADIENT BOOSTING METHOD