Books on the topic 'Data Quality Model'

Brown, Linfield C. Computer program documentation for the enhanced stream water quality model QUAL2E. Athens, Ga: Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1985.

Schere, Kenneth L. EPA Regional Oxidant Model (ROM2.0): Evaluation on 1980 NEROS data bases. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1989.

Model-based failure-modes-and-effects analysis and its application to aircraft subsystems. Heidelberg: AKA. Verlag, 2009.

Ahmad, Anees. Development of software to model AXAF-I image quality: Final report. [Washington, DC: National Aeronautics and Space Administration, 1996.

Wells, Scott A. Modeling the Tualatin River system including Scogging Creek and Hagg Lake: Model description, geometry, and forcing data. [Corvallis, Or.]: Oregon Water Resources Research Institute, Oregon State University, 1992.

Truppi, Lawrence E. EPA complex terrain model development: Description of a computer data base from the Full Scale Plume Study, Tracy Power Plant, Nevada. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

Truppi, Lawrence E. EPA complex terrain model development: Description of a computer data base from Small Hill Impaction Study No. 2, Hogback Ridge, New Mexico. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1986.

Ahmad, Anees. Development of software to model AXAF-I image quality: Final report, contract no. NAS8-38609. [Washington, DC: National Aeronautics and Space Administration, 1996.

Allison, Jerry D. MINTEQA2/PRODEFA2, a geochemical assessment model for environmental systems: Version 3.0 user's manual. Athens, Ga: Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1991.

Allison, Jerry D. MINTEQA2/PRODEFA2, a geochemical assessment model for environmental systems: Version 3.0 user's manual. Athens, Ga: Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1991.

Developing high quality data models. Burlington, MA: Morgan Kaufmann, 2011.

California. Bureau of State Audits. Department of Health Services: Despite shortcomings in the Department's monitoring efforts, limited data suggest its two-plan model does not adversely affect quality of and access to health care. Sacramento, Calif. (555 Capitol Mall, Suite 300, Sacramento, 95814): Bureau of State Audits, 1999.

Sabbagh, Harold A. Computational Electromagnetics and Model-Based Inversion: A Modern Paradigm for Eddy-Current Nondestructive Evaluation. New York, NY: Springer New York, 2013.

W, Gregory William, ed. The data modeling handbook: A best-practice approach to building quality data models. New York: Wiley, 1994.

Reingruber, Michael. The data modeling handbook: A best-practice approach to building quality data models. New York: Wiley, 1994.

Eklöf, Jan. Varying data quality and effects in economic analysis and planning. Stockholm, Sweden: EFI, Stockholm School of Economics, 1992.

Cox, William M. Evaluation of rural air quality simulation models: Addendum A, Muskingum River data base. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

Obradović, Dušan. Public water supply: Data, models and operational management. London: E & FN Spon, 1998.

Peter, Lonsdale, ed. Public water supply: Data, models, and operational management. London: E & FN Spon, 1998.

Cox, William M. Evaluation of rural air quality simulation models: Addendum C : Kincaid SOb2s data base. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1986.

Hoos, Anne B. Procedures for adjusting regional regression models of urban-runoff quality using local data. Nashville, Tenn: U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

Hoos, Anne B. Procedures for adjusting regional regression models of urban-runoff quality using local data. [Washington, D.C.]: U.S. G.P.O., 1996.

Hoos, Anne B. Procedures for adjusting regional regression models of urban-runoff quality using local data. Nashville, Tenn: U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

Mednick, Adam C. Accessing online data for building and evaluating real-time models to predict beach water quality. Madison, WI: Bureau of Science Services, Wisconsin Department of Natural Resources, 2009.

Thomas, Mann. Cataloging quality, LC priorities, and models of the Library's future. Washington: Cataloging Forum, Library of Congress, 1991.

Helsel, Dennis R. Estimation of distributional parameters for censored trace-level water-quality data. Reston, Va: U.S. Dept. of the Interior, Geological Survey, 1985.

Helsel, Dennis R. Estimation of distributional parameters for censored trace-level water-quality data. Reston, Va: U.S. Dept. of the Interior, Geological Survey, 1985.

Barr, Richard S. Predicting bank failure using DEA to quantify management quality. [Dallas: Federal Reserve Bank of Dallas, 1994.

Barr, Richard S. Predicting bank failure using DEA to quantify management quality. [Dallas: Federal Reserve Bank of Dallas, 1994.

Hoos, Anne B. Adjustment of regional regression models of urban-runoff quality using data for Chattanooga, Knoxville, and Nashville, Tennessee. Nashville, Tenn: U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

Hanisch, Jens Ulrich. Rounding of income data: An empirical analysis of the quality of income data with respect to rounded values and income brackets with data from the European Community Household Panel. Frankfurt am Main: Peter Lang, 2007.

Barks, C. Shane. Verification and adjustment of regional regression models for urban storm-runoff quality using data collected in Little Rock, Arkansas. Little Rock, Ark: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

Kraay, Aart. Product quality, productive efficiency, and international technology diffusion: Evidence from plant-level panel data. Washington, D.C: World Bank, Development Research Group, Macroeconomics and Growth, and, Trade., 2002.

Hart, Joan, Sean Madine, Jennifer Luppens Mahoney, Andrew F. Loughe, Brian P. Pettegrew, and Judy K. Henderson. Quality assessment report: National Ceiling and Visibility Analysis product. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Earth System Research Laboratory, Global Systems Division, 2011.

Sentā, Kaiyō Kagaku Gijutsu. Sentanteki yojigen taiki kaiyō rikuiki ketsugō dēta dōka shisutemu no kaihatsu to kōseido kikō hendō yosoku ni hitsuyō na shokichika saikaiseki tōgō dētasetto no kōchiku: Heisei 14-nendo kenkyū seika hōkokusho = Research development of advanced four-dimensional data assimilation system using a climate model toward construction of high-quality reanalysis datasets for climate prediction. [Tokyo]: Monbu Kagakushō̄ Kenkyū Kaihatsukyoku, 2003.

Kaiyō Kenkyū Kaihatsu Kikō (Japan). Sentanteki yojigen taiki kaiyō rikuiki ketsugō dēta dōka shisutemu no kaihatsu to kōseido kikō hendō yosoku ni hitsuyō na shokichika saikaiseki tōgō dētasetto no kōchiku: Heisei 17-nendo kenkyū seika hōkokusho = Research development of advanced four-dimensional data assimilation system using a climate model toward construction of high-quality reanalysis datasets for climate prediction. [Tokyo]: Monbu Kagakushō̄ Kenkyū Kaihatsukyoku, 2006.

David, Hutchison. Quality of Software Architectures. Models and Architectures: 4th International Conference on the Quality of Software-Architectures, QoSA 2008, Karlsruhe, Germany, October 14-17, 2008. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008.

Chapman, James Emory. SMARTRAQ: Integrating travel behavior and urban form data to address transportation and air quality problems in Atlanta. [Forest Park, Ga: Georgia Dept. of Transportation, Office of Materials and Research, Research and Development Branch], 2004.

Artemʹevich, Aĭvazi͡an Sergeĭ, and T͡Sentralʹnyĭ ėkonomiko-matematicheskiĭ institut (Akademii͡a nauk SSSR), eds. III Vsesoi͡uznai͡a nauchno-tekhnicheskai͡a konferent͡sii͡a "Primenenie mnogomernogo statisticheskogo analiza v ėkonomike i ot͡senke kachestva produkt͡sii": Tezisy dokladov, 17-18 senti͡abri͡a 1985 goda, g. Tartu (Ėst. SSR). Tartu: T͡Sentr. ėkonomiko-matematicheskiĭ in-t AN SSSR, 1985.

Storck, Donald A. Development of a data base of community water-supply wells in New Jersey and a method of evaluate their sensitivity to contamination. West Trenton, N.J: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

Storck, Donald A. Development of a data base of community water-supply wells in New Jersey and a method of evaluate their sensitivity to contamination. West Trenton, N.J: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

Storck, Donald A. Development of a data base of community water-supply wells in New Jersey and a method of evaluate their sensitivity to contamination. West Trenton, N.J: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

Lester, Alaric. Modelling pollution from major roads: Appraisal of three models for use in air quality assessments and comparison with data from a main road in London. Chatham Maritime: University of Greenwich, 1997.

Chu, Tsong-Lun. Development of quantitative software reliability models for digital protection systems of nuclear power plants. Washington, D.C: United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2013.

Indoor air quality model, version 1.0: Project summary. Research Triangle Park, NC: U.S. Environmental Protection Agency, Air and Energy Engineering Laboratory, 1989.

Air and Energy Engineering Research Laboratory, ed. Indoor air quality model, version 1.0: Project summary. Research Triangle Park, NC: U.S. Environmental Protection Agency, Air and Energy Engineering Laboratory, 1989.

E, Sparks L., and United States. Environmental Protection Agency, eds. Comparison of data from an IAQ test house with predictions of an IAQ computer model. [Washington, D.C.?: U.S. Environmental Protection Agency, 1992.

Low Choy, Samantha, Justine Murray, Allan James, and Kerrie Mengersen. Combining monitoring data and computer model output in assessing environmental exposure. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.18.

M, Cox William, and United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, eds. Evaluation of rural air quality simulation models: Addendum B : graphical display of model performance using the Clifty Creek data base. Research Triangle Park, N.C: U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

Development of software to model AXAF-I image quality: Final report. [Washington, DC: National Aeronautics and Space Administration, 1996.