Książki na temat „Scanner data”

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

McCann, John M., i 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, red. 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, red. Expert systems for scanner data environments: The marketing workbench laboratory experience. Boston: Kluwer Academic Publishers, 1990.

Leeflang, P.S. H., 1946- i Wittink Dick R, red. 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. Wyd. 2. 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, i 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., i 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., i John M. McCann. Expert Systems for Scanner Data Environments: The Marketing Workbench Laboratory Experience. Springer, 2012.

R, Meeks Gerald, i Jet Propulsion Laboratory (U.S.), red. 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, i Matthew D. Shapiro (Editor), red. 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.