Books on the topic 'Scanner data'

missing], [name. Scanner data and price indexes. Chicago, IL: University of Chicago Press, 2002.

McCann, John M., and John P. Gallagher. Expert Systems for Scanner Data Environments. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3923-6.

James, Cavuoto, ed. The color scanner book. Torrance, California: Micro Pub. Press, 1995.

Campbell, Jeffrey R. Rigid prices: Evidence from U.S. scanner data. [Chicago, Ill.]: Federal Reserve Bank of Chicago, 2005.

Sithole, George. Segmentation and classification of airborne laser scanner data. Delft: Nederlandse Commissie voor Geodesie, 2005.

Beale, Stephen. The scanner book: A complete guide to the use and applications of desktop scanners. Torrance, California: Micro Pub. Co., 1989.

Beale, Stephen. The scanner handbook: A complete guide to the use and applications of desktop scanners. Oxford: Heinemann Newtech, 1990.

Tibrewala, Vikas. Nonstationary conditional trend analysis: An application to scanner panel data. Fontainbleau: INSEAD, 1992.

Bucklin, Randolph E. Commercial adoption of advances in the analysis of scanner data. Cambridge, Mass: Marketing Science Institute, 1998.

Weinberg, Bruce. Building an information strategy for scanner data: A conference summary. Cambridge, Mass: Marketing Science Institute, 1989.

Capps, Oral. Scanner data in managerial decision-making: A case study for supermarkets. College Station, Tex: Texas Agricultural Experiment Station, Texas A&M University System, 1988.

P, Gallagher John, ed. Expert systems for scanner data environments: The marketing workbench laboratory experience. Boston: Kluwer Academic Publishers, 1990.

Leeflang, P.S. H., 1946- and Wittink Dick R, eds. Flexible decomposition of price promotion effects using store-level scanner data. Cambridge, MA: Marketing Science Institute, 2002.

Bhattacharya, C. B. Towards a system for monitoring brand health from store scanner data. Cambridge, Mass: Marketing Science Institute, 2000.

Russell, Gary J. New tools for understanding brand competition: Integrating household and retail scanner data. Cambridge, Mass: Marketing Science Institute, 1993.

Goldstein, David K. Product managers' use of scanner data: A story of organizational learning : commentary. Cambridge, Mass: Marketing Science Institute, 1993.

Chevalier, Judith A. Why don't prices rise during periods of peak demand?: Evidence from scanner data. Cambridge, MA: National Bureau of Economic Research, 2000.

Kamakura, Wagner A. Measuring consumer perceptions of brand quality with scanner data: Implications for brand equity. Cambridge, Mass: Marketing Science Institute, 1991.

Kamakura, Wagner A. Measuring consumer perceptions of brand quality with scanner data: Implications for brand equity. Cambridge, Mass: Marketing Science Institute, 1991.

Williams, S. P. Nimbus 7 coastal zone color scanner (CZCS): Level 1 data product users' guide. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

Tilton, James C. Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. Greenbelt, Md: Goddard Space Flight Center, 1988.

Fader, Peter S. Estimating models of promotion-induced non-compensatory choice behavior using UPC scanner panel data. Cambridge, Mass: Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1985.

Office, General Accounting. Defense commissaries: Issues related to the sale of electronic scanner data : report to congressional requesters. Washington, D.C: The Office, 1998.

Silver, M. S. Some issues in the estimation of hedonic regressions: An application to VCRs using scanner data. Cardiff: Cardiff Business School, 1997.

Bochert, Axel. Klassifikation von Radarsatellitendaten zur Meereiserkennung mit Hilfe von Line-Scanner-Messungen =: Classification of radar satellite data for sea ice identification by means of line scanner measurements. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 1996.

Abe, Makoto. LAPD: Estimating distribution of consumer utility preference from scanner-panel data to infer patterns of competition. Cambridge, Mass: Marketing Science Institute, 1996.

Abe, Makoto. LAPD: Estimating distribution of consumer utility preference from scanner-panel data to infer patterns of competition. Cambridge, MA: Marketing Science Institute, 1996.

Elberink, Sander Oude. Acquisition of 3D topography: Automated 3D road and building reconstruction using airborne laser scanner data and topographic maps. Delft: NCG, Netherlands Geodetic Commission, 2010.

Oakes, Arnold G. Nimbus-7 data product summary. Greenbelt, Md: Goddard Space Flight Center, 1989.

House, Frederick Bishop. Final report entitled Comparison of long-wave and shortwave irradiances at satellite altitude with integrated scanner measurements using the nimbus 7 ERB data set. [Washington, D.C: National Aeronautics and Space Administration, 1986.

National Institute of Standards and Technology (U.S.). Guideline for quality control of image scanners. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

Guideline for quality control of image scanners. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

Canada. Dept. of Fisheries and Oceans. Biological Sciences Branch. Accuracy and precision of scanmar data recorded on Canadian groundfish surveys. Halifax, N.S: Dept. of Fisheries and Oceans, Biological Sciences Branch, 1994.

Wright, Guy. Amiga desktop video power: Signal, lighting, scanners, audio graphics, special effects. Grand Rapids, MI: Abacus, 1991.

Blatner, David. Real world scanning and halftones: The definitive guide to scanning and halftones from the desktop. 2nd ed. Berkeley, Calif: Peachpit Press, 1998.

Tally, Taz. Avoiding the scanning blues: A desktop scanning primer. Upper Saddle River, NJ: Prentice Hall PTR, 2001.

McAllister, Robin B. Scanning and image manipulation: For preparers of desktop published documents for printing. Albany: Delmar Publishers, 1997.

Anderson, Donna L. Laser tracking and tram control of a continuous mining machine. [Washington, D.C.]: U.S. Dept. of the Interior, Bureau of Mines, 1990.

Anderson, Donna L. A laser-based continuous miner guidance system. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1991.

Hornstein, Jonathan. Scanning: Your personal consultant. Emeryville, Calif: Ziff-Davis Press, 1995.

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1996), contract number NAS5-31363. [Washington, DC: National Aeronautics and Space Administration, 1996.

Beale, Stephen, and James Cavuoto. The scanner handbook. Butterworth-Heinemann Ltd, 1990.

Using Scanner Data for Food Policy Research. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-01027-3.

Little, John D. C., and Peter M. Guadagni. A Logit Model of Brand Choice Calibrated on Scanner Data. Palala Press, 2015.

Weinberg, Bruce. Building an Information Strategy for Scanner Data (Report No 89-121). Marketing Science Inst, 1989.

Gallagher, John P., and John M. McCann. Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience. Springer, 2012.

R, Meeks Gerald, and Jet Propulsion Laboratory (U.S.), eds. Thermal infrared multispectral scanner (TIMS): An investigator's guide to TIMS data. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1985.

(Editor), Robert C. Feenstra, and Matthew D. Shapiro (Editor), eds. Scanner Data and Price Indexes (Studies in Income and Wealth, V. 64). University of Chicago Press, 2002.

Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.