Libros sobre el tema "Estimation of Density"

Stride, Christopher B. Semi-parametric density estimation. [s.l.]: typescript, 1995.

A. J. H. van Es. Aspects of nonparametric density estimation. Amsterdam, The Netherlands: Centrum voor Wiskunde en Informatica, 1991.

Devroye, Luc y Gábor Lugosi. Combinatorial Methods in Density Estimation. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0125-7.

A course in density estimation. Boston: Birkhäuser, 1987.

Devroye, Luc. Nonparametric density estimation: The L₁ view. New York: Wiley, 1985.

Devroye, Luc. Nonparametric density estimation: The L1 view. New York: Wiley, 1985.

1981-, Suzuki Taiji y Kanamori Takafumi 1971-, eds. Density ratio estimation in machine learning. Cambridge: Cambridge University Press, 2012.

Silverman, B. W. Density Estimation for Statistics and Data Analysis. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-3324-9.

Zinde-Walsh, Victoria. Kernel estimation when density does not exist. Montréal: Centre interuniversitaire de recherche en économie quantitative, 2005.

Density estimation for statistics and data analysis. Boca Raton: Chapman & Hall/CRC, 1998.

Density estimation for statistics and data analysis. London: Chapman and Hall, 1986.

W, Scott David. Multivariate density estimation: Theory, practice, and visualization. New York: Wiley, 1992.

Gramacki, Artur. Nonparametric Kernel Density Estimation and Its Computational Aspects. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71688-6.

Inc, ebrary, ed. Functional estimation for density, regression models and processes. Singapore: World Scientific, 2011.

Klemelä, Jussi. Smoothing of multivariate data: Density estimation and visualization. Hoboken, N.J: Wiley, 2008.

Mosier, Dan L. Volcanogenic massive sulfide deposit density. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2007.

Ceuster, Marc de. Diagnostic checking of estimation with a Student-t error density. Antwerpen: Universiteit Antwerpen, 1992.

Pawluczyk, Olga. Volumetric estimation of breast density for breast cancer risk prediction. Ottawa: National Library of Canada, 2001.

G, Foote K. y International Council for the Exploration of the Sea., eds. Calibration of acoustic instruments for fish density estimation: A practical guide. Copenhagen, Denmark: International Council for the Exploration of the Sea, 1987.

O'Neill, Donal. Equality of opportunity and kernel density estimation: An application of intergenerational mobility. Maynooth, Co Kildare: National University of Ireland, Maynooth, 1999.

Kim, Peter T. Group representations and nonparametric density and deconvolution estimation on compact Lie groups. Toronto: University of Toronto, Dept. of Statistics, 1993.

Wiesen, Christopher. Learn About Density Estimation in Stata With the Cardiac Catheterization Diagnostic Dataset (2018). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526499189.

D, Miller Sterling, ed. Brown and black bear density estimation in Alaska using radiotelemetry and replicated mark-resight techniques. Bethesda, Md: Wildlife Society, 1997.

Baram, Yoram. Estimation and classification by sigmoids based on mutual information. [Washington, D.C: National Aeronautics and Space Administration, 1994.

1955-, Duffy S. F., Palko Joseph L y United States. National Aeronautics and Space Administration., eds. Parameter estimation techniques based on optimizing goodness-of-fit statistics for structural reliability. [Easton, Pa.?]: American Society of Mechanical Engineers, 1993.

Simpson, William Turner. Relative drying times of 650 tropical woods: Estimation by green moisture content, specific gravity, and green weight density. [Madison, Wis.]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1991.

Gross, Bernard. Least squares best fit method for the three parameter Weibull distribution: Analysis of tensile and bend specimens with volume or surface flaw failure. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

Satdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. xxu: Academus Publishing, 2019. http://dx.doi.org/10.31519/monography_1598.

Fleischer, Shelby. Sequential sampling plans for estimating gypsy moth egg mass density. Radnor, PA]: USDA, Forest Service, Northeastern Area, Appalachian Integrated Pest Management, 1992.

Haney, Robert L. Estimating subpycnocline density fluctuations in the California Current region from upper ocean observations. Monterey, Calif: Naval Postgraduate School, 1994.

United States. National Aeronautics and Space Administration., ed. Lower bound on reliability for Weibull distribution when shape parameter is not estimated accurately. [Washington, DC: National Aeronautics and Space Administration, 1990.

Tanabe, Kunio. BNDE, FORTRAN subroutines for computing Bayesian nonparametric univariate and bivariate density estimator. Tokyo: Institute of Statistical Mathematics, 1988.

Brueckner, Jan K. Fares and network 'feed': Estimating economies of traffic density in airline hub-and-spoke systems. Champaign: University of Illinois at Urbana-Champaign, 1991.

Douglas, Campbell, Armstrong Helen y Great Britain Forestry Commission, eds. Estimating deer abundance in woodlands: The combination plot technique. Edinburgh: Forestry Commission, 2008.

Jolicoeur, Hélène. Estimation de la densité d'ours noirs dans différents types de végétation a l'aide de traceurs radioactifs période 1984-1994. Québec: Ministère des Ressources naturelles, de la Faune et des Parcs, 2004.

B, Tito R. Barros. Utilización de dos modelos para la estimación de la densidad poblacional del Venado Caramerudo (Odocoileus Virginianus)* a través del método de transectas de líneas en un sector del estado Apure, Venezuela: Use of two models for the estimation of population density of the Caramerudo Deer (Odocoileus Virginianus) through the line transect method in a sector of the Apure State, Venezulea. Maracaibo, Zulia, Venezuela: Museo de Biología de LUZ (MBLUZ), Facultad Experimental de Ciencias, 2009.

Frazer, G. W. A method for estimating canopy openness, effective leaf area index, and photosynthetically active photon flux density using hemispherical photography and computerized image analysis techniques. Victoria, B.C: Pacific Forestry Centre, 1997.

Eggermont, P. P. B. y V. N. LaRiccia. Maximum Penalized Likelihood Estimation : Volume I: Density Estimation. Springer New York, 2010.

Kernel Density Estimation Using Matplotlib. Ireland: Gary White, 2020. http://dx.doi.org/10.4135/9781529772418.

Kernel Density Estimation Using Seaborn. Ireland: Gary White, 2020. http://dx.doi.org/10.4135/9781529772487.

Devroye, Luc. Combinatorial Methods in Density Estimation. Springer, 2012.

Devroye, Luc y Gábor Lugosi. Combinatorial Methods in Density Estimation. Springer London, Limited, 2012.

Lugosi, Gabor y Luc Devroye. Combinatorial Methods in Density Estimation. Springer, 2001.

Sugiyama, Masashi, Taiji Suzuki y Takafumi Kanamori. Density Ratio Estimation in Machine Learning. Cambridge University Press, 2012.

Sugiyama, Masashi, Taiji Suzuki y Takafumi Kanamori. Density Ratio Estimation in Machine Learning. Cambridge University Press, 2018.

Sugiyama, Masashi, Taiji Suzuki y Takafumi Kanamori. Density Ratio Estimation in Machine Learning. Cambridge University Press, 2012.

Sugiyama, Masashi, Taiji Suzuki y Takafumi Kanamori. Density Ratio Estimation in Machine Learning. Cambridge University Press, 2012.

Sugiyama, Masashi, Taiji Suzuki y Takafumi Kanamori. Density Ratio Estimation in Machine Learning. Cambridge University Press, 2012.

Scott, David W. Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley & Sons, Incorporated, John, 2008.

Scott, David W. Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley & Sons, Incorporated, John, 2015.