Books on the topic 'Directional data'

Bagchi, Parthasarathy. Bayesian analysis of directional data. Toronto: [s.n.], 1987.

IESNA Computer Committee. Angular Positioning Sub-Committee., ed. IESNA guide for directional positioning of photometric data. New York, NY: Illuminating Engineering Society of North America, 1997.

Spatial statistics and spatio-temporal data: Covariance functions and directional properties. Chichester, West Sussex, U.K: Wiley, 2011.

Ralph, Grabowski, ed. MicroStation for AutoCAD users: A bi-directional handbook. Albany, NY: Delmar Publishers, 1999.

Conforti, Frank. MicroStation for AutoCAD users: A bi-directional user's handbook. 2nd ed. Santa Fe, NM: OnWord Press, 1996.

Sengupta, Ashis. A likelihood integrated method for exploratory graphical analysis of change point problem with directional data. Ahmedabad: Indian Institute of Management, 2006.

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program Center, 1996.

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

S, Madheswaran, and Institute for Social and Economic Change, eds. Energy use efficiency in Indian cement industry: Application of data envelopment analysis and directional distance function. Bangalore: Institute for Social and Economic Change, 2009.

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. Washington, D.C: National Aeronautics and Space Administration, 1996.

Charles, Wang Kon-Sheng, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

Mandal, Sabuj Kumar. Energy use efficiency in Indian cement industry: Application of data envelopment analysis and directional distance function. Bangalore: Institute for Social and Economic Change, 2009.

House, Frederick Bishop. Final report entitled A new methodology of determining directional albedo models from Nimbus 7 ERB scanning radiometer measurements. [Washington, D.C: National Aeronautics and Space Administration, 1986.

C, Carter G., and Diamondstone Barry I, eds. Directions for internationally compatibleenvironmental data. New York: Hemisphere, 1990.

C, Carter Gesina, Diamondstone Barry I, and André Marsan et associés, eds. Directions for internationally compatible environmental data. New York: Hemisphere Pub. Corp., 1990.

Vakali, Athena, and Lakhmi C. Jain, eds. New Directions in Web Data Management 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17551-0.

Gudes, Ehud, and Sujeet Shenoi, eds. Research Directions in Data and Applications Security. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35697-6.

Thuraisingham, Bhavani. Data and Application Security: Developments and Directions. Boston, MA: Kluwer Academic Publishers, 2002.

C, Jain Lakhmi, and SpringerLink (Online service), eds. New Directions in Web Data Management 1. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

Hiroshi, Motoda, ed. Active mining: New directions of data mining. Amsterdam: IOS Press, 2002.

Pascal, Poncelet, Masseglia Florent, and Teisseire Maguelonne, eds. Successes and new directions in data mining. Hershey PA: Information Science Reference, 2007.

Farkas, Csilla, and Pierangela Samarati, eds. Research Directions in Data and Applications Security XVIII. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/b115770.

Stephan, Morgenthaler, Ronchetti Elvezio, and Stahel Werner, eds. New directions in statistical data analysis and robustness. Basel: Birkhäuser Verlag, 1993.

1967-, Kargupta Hillol, ed. Data mining: Next generation challenges and future directions. Menlo Park, Calif: AAAI, 2004.

1946-, Smith David J., and ESRC Education and Human Development Committee., eds. Information, technology, and education: Signposts and research directions. London: Economic and Social Research Council, 1985.

van Es, Karin, and Nanna Verhoeff. Situating Data. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463722971.

Gudes, Ehud. Research Directions in Data and Applications Security: IFIP TC11. Boston, MA: Springer US, 2003.

Rahman, Mawdudur. Accounting information systems: Principles, applications, and future directions. Englewood Cliffs, N.J: Prentice Hall, 1988.

Rahman, Mawdudur. Accounting information systems: Principles, applications, and future directions. London: Prentice-Hall International, 1988.

Digital photo art: New directions. New York: Pixiq, 2012.

Human resource information systems: Basics, applications, and future directions. 2nd ed. Thousand Oaks: SAGE, 2012.

J, Sharpe David, Spicer W. Wylie 1949-, and New Directions in Maritime Law Conference (1984 : Halifax, N.S.), eds. New directions in Maritime law 1984. Agincourt, Ont: Carswell, 1985.

Douglas, Schuler, and Jacky Jonathan, eds. Directions and implications of advanced computing, (DIAC-87). Norwood, N.J: Ablex Pub. Corp., 1989.

Data, United States Task Force on Future Directions for the National Archive of Criminal Justice. Future Directions for the National Archive of Criminal Justice Data. Washington, D.C: U.S Dept. of Justice, Office of Justice Programs, Bureau of Justice Statistics, 1995.

Prabhu, C. S. R. Fog Computing, Deep Learning and Big Data Analytics-Research Directions. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3209-8.

(Firm), INPUT, ed. Value-added network and data services (VADS): European market directions. London, England: INPUT, 1987.

Mardia, K. V., E. Lukacs, and Z. W. Birnbaum. Statistics of Directional Data. Elsevier Science & Technology Books, 2014.

Bagchi, Parthasarathy. Bayesian analysis of directional data. 1987.

Applied Directional Statistics. Taylor & Francis Group, 2020.

Rumcheva, Pavlina. Projected multivariate linear models for directional data. 2005.

Categorical and Directional Data, Volume 2, Spatial Data Analysis by Example. Wiley, 1989.

Shimizu, Kunio, and Ashis SenGupta. Probability Distributions for Directional Data on Smooth Manifolds. Wiley & Sons, Incorporated, John, 2021.

Probability Distributions for Directional Data on Smooth Manifolds. Wiley & Sons, Limited, John, 2022.

Shimizu, Kunio, and Ashis SenGupta. Probability Distributions for Directional Data on Smooth Manifolds. Wiley & Sons, Incorporated, John, 2021.

Shimizu, Kunio, and Ashis SenGupta. Probability Distributions for Directional Data on Smooth Manifolds. Wiley & Sons, Incorporated, John, 2022.

Ley, Christophe, and Thomas Verdebout. Applied Directional Statistics: Modern Methods and Case Studies. Taylor & Francis Group, 2018.

Ley, Christophe, and Thomas Verdebout. Applied Directional Statistics: Modern Methods and Case Studies. Taylor & Francis Group, 2018.

Applied Directional Statistics: Modern Methods and Case Studies. Taylor & Francis Group, 2018.