Search Results - "Spiegelman, Clifford H"

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  1. 1

    Assessing machine leaning algorithms on crop yield forecasts using functional covariates derived from remotely sensed data by Sartore, Luca, Rosales, Arthur N., Johnson, David M., Spiegelman, Clifford H.

    Published in Computers and electronics in agriculture (01-03-2022)
    “…•Empirical density functions are linked to other datasets for crop-yield modeling.•Artificial covariates can represent complex phenomena in predictive…”
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    Journal Article
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    Assessment of mobile source contributions in El Paso by PMF receptor modeling coupled with wind direction analysis by Park, Eun Sug, Sullivan, David W., Kang, Dong Hun, Ying, Qi, Spiegelman, Clifford H.

    Published in The Science of the total environment (10-06-2020)
    “…It is well-known that El Paso is the only border area in Texas that has violated national air quality standards. Mobile source emissions (including vehicle…”
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  3. 3

    Theoretical Justification of Wavelength Selection in PLS Calibration:  Development of a New Algorithm by Spiegelman, Clifford H, McShane, Michael J, Goetz, Marcel J, Motamedi, Massoud, Yue, Qin Li, Coté, Gerard L

    Published in Analytical chemistry (Washington) (01-01-1998)
    “…The mathematical basis of improved calibration through selection of informative variables for partial least-squares calibration has been identified. A…”
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  4. 4

    Mineral preservatives in the wood of Stradivari and Guarneri by Nagyvary, Joseph, Guillemette, Renald N, Spiegelman, Clifford H

    Published in PloS one (22-01-2009)
    “…Following the futile efforts of generations to reach the high standard of excellence achieved by the luthiers in Cremona, Italy, by variations of design and…”
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  5. 5

    Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data by Park, Eun Sug, Hopke, Philip K., Kim, Inyoung, Tan, Shuman, Spiegelman, Clifford H.

    Published in Technometrics (03-07-2018)
    “…For the development of effective air pollution control strategies, it is crucial to identify the sources that are the principal contributors to air pollution…”
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  6. 6

    Assessment of source-specific health effects associated with an unknown number of major sources of multiple air pollutants: a unified Bayesian approach by Park, Eun Sug, Hopke, Philip K, Oh, Man-Suk, Symanski, Elaine, Han, Daikwon, Spiegelman, Clifford H

    Published in Biostatistics (Oxford, England) (01-07-2014)
    “…There has been increasing interest in assessing health effects associated with multiple air pollutants emitted by specific sources. A major difficulty with…”
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  7. 7

    Bilinear estimation of pollution source profiles and amounts by using multivariate receptor models by Sug Park, Eun, Spiegelman, Clifford H., Henry, Ronald C.

    Published in Environmetrics (London, Ont.) (01-11-2002)
    “…Multivariate receptor models aim to identify the pollution sources based on multivariate air pollution data. This article is concerned with estimation of the…”
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  8. 8

    Reported Emissions of Organic Gases are not Consistent with Observations by Henry, Ronald C., Spiegelman, Clifford H., Collins, John F., Park, EunSug

    “…Regulatory agencies and photochemical models of ozone rely on self-reported industrial emission rates of organic gases. Incorrect self-reported emissions can…”
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    A computation saving Jackknife approach to receptor model uncertainty statements for serially correlated data by Spiegelman, Clifford H., Park, Eun Sug

    “…The use of receptor modeling is now a widely accepted approach to model air pollution data. The resulting estimates of pollution source profiles have error and…”
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  10. 10

    Locating nearby sources of air pollution by nonparametric regression of atmospheric concentrations on wind direction by Henry, Ronald C., Chang, Yu-Shuo, Spiegelman, Clifford H.

    Published in Atmospheric environment (1994) (01-05-2002)
    “…The relationship of the concentration of air pollutants to wind direction has been determined by nonparametric regression using a Gaussian kernel. The results…”
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  11. 11

    A Transparent Tool for Seemingly Difficult Calibrations:  The Parallel Calibration Method by Spiegelman, Clifford H, Bennett, Jerome F, Vannucci, Marina, McShane, Michael J, Coté, Gerard L

    Published in Analytical chemistry (Washington) (01-01-2000)
    “…A new easy-to-understand calibration method for the analysis of spectral data is developed. The “parallel calibration” method is logically simple and intuitive…”
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  12. 12

    Improving Complex Near-IR Calibrations Using a New Wavelength Selection Algorithm by McShane, Michael J., Cameron, Brent D., Coté, Gerard L., Spiegelman, Clifford H.

    Published in Applied spectroscopy (01-12-1999)
    “…Near-infrared spectroscopy is being considered as a tool for the noninvasive determination of important cell culture media constituents, which would allow…”
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  13. 13

    A Bayesian approach for improved pavement performance prediction by Park, Eun Sug, Smith, Roger E., Freeman, Thomas J., Spiegelman, Clifford H.

    Published in Journal of applied statistics (01-11-2008)
    “…We present a method for predicting future pavement distresses such as longitudinal cracking. These predicted distress values are used to plan road repairs…”
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  14. 14

    A Markov Chain Monte Carlo-Based Origin Destination Matrix Estimator that is Robust to Imperfect Intelligent Transportation Systems Data by Park, Eun Sug, Rilett, Laurence R., Spiegelman, Clifford H.

    “…A method for estimating the Origin Destination (OD) split proportion matrix based on the observed traffic volume count data such as those from Intelligent…”
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    Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting by Park, Dongjoo, Rilett, Laurence R., Gajewski, Byron J., Spiegelman, Clifford H., Choi, Changho

    Published in Transportation (Dordrecht) (2009)
    “…With the recent increase in the deployment of ITS technologies in urban areas throughout the world, traffic management centers have the ability to obtain and…”
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  17. 17

    Correspondence estimation of the source profiles in receptor modeling by Gajewski, Byron J., Spiegelman, Clifford H.

    Published in Environmetrics (London, Ont.) (01-09-2004)
    “…This article considers the estimation of source profiles from pollution data collected at one receptor site. At this receptor site, varying metrological…”
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