Books on the topic 'Densité de probabilités'
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Burris, Stanley. Number theoretic density and logical limit laws. Providence, RI: American Mathematical Society, 2001.
United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Probability density functions in turbulent channel flow. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.
United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Probability density functions in turbulent channel flow. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.
Byrne, Erin. Post-fragmentation probability density for bacterial aggregates. [Place of publication not identified]: Proquest, Umi Dissertatio, 2012.
Paštéka, Milan. On four approaches to density. Frankfurt am Main: Peter Lang, 2013.
Ronald, Johnson L., Smith P. L, and United States. National Aeronautics and Space Administration., eds. Probability density functions of observed rainfall in Montana. [Washington, DC: National Aeronautics and Space Administration, 1995.
Ronald, Johnson L., Smith P. L, and United States. National Aeronautics and Space Administration., eds. Probability density functions of observed rainfall in Montana. [Washington, DC: National Aeronautics and Space Administration, 1995.
Churnside, James H. Probability density function of optical scintillations (scintillation distribution). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1989.
J, Lataitis R., and Wave Propagation Laboratory, eds. Probability density function of optical scintillations (scintillation distribution). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1989.
Devroye, Luc. Nonparametric density estimation: The L₁ view. New York: Wiley, 1985.
Devroye, Luc. Nonparametric density estimation: The L1 view. New York: Wiley, 1985.
Canada, Atomic Energy of. Guidelines for defining probability density functions for SYVAC3-CC3 parameters. Ottawa, Ont: Atomic Energy of Canada Limited, 1989.
Bahra, Bhupinder. Implied risk-neutral probability density functions from option prices: Theory and application. London: Bank of England, 1997.
Bahra, Bhupinder. Implied risk-neutral probability density functions from option prices: Theory and application. London: Bank of England, 1997.
Morrison, Desmond Kenneth. Display of probability density functions using the PC and MC68HC711 micro-controller. [s.l: The Author], 1994.
Silverman, B. W. Density estimation for statistics and data analysis. Boca Raton: Chapman & Hall/CRC, 1998.
Silverman, B. W. Density estimation for statistics and data analysis. London: Chapman and Hall, 1986.
Fornari, Fabio. Recovering the probability density function of asset prices using GARCH as diffusion approximations. [Roma]: Banca d'Italia, 2001.
Center, Lewis Research, ed. EUPDF, an Eulerian-based Monte Carlo probability density function (PDF) solver: User's manual. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.
Yamazaki, Hidekatsu. Determination of wave height spectrum by means of a joint probability density function. College Station, Tex: Sea Grant College Program, Texas A & M University, 1985.
Center, Lewis Research, ed. EUPDF, an Eulerian-based Monte Carlo probability density function (PDF) solver: User's manual. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.
Fornari, Fabio. The probability density function of interest rates implied in the price of options. Rome: Banca d'Italia, 1998.
Moek, G. Verification of obstacle accountability areas using a simple mathematical model. Part I: Description of general model and application for a specific case. Amsterdam: National Aerospace Laboratory, 1985.
Brenner, Marty. Nonstationary dynamics data analysis with wavelet-SVD filtering. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 2001.
Moek, G. Approximate confidence regions for the parameters of three software reliability models. Amsterdam: National Aerospace Laboratory, 1987.
Robert, Rubinstein, and Institute for Computer Applications in Science and Engineering., eds. Mapping closure approximation to conditional dissipation rate for turbulent scalar mixing. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Simon, M. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
N, Singhal Surendra, Chamis C. C, and United States. National Aeronautics and Space Administration., eds. Reliability, risk and cost trade-offs for composite designs. [Washington, DC]: National Aeronautics and Space Administration, 1996.
Ma, Xiaofang. Computation of the probability density function and the cumulative distribution function of the generalized gamma variance model. Ottawa: National Library of Canada, 2002.
J, Mileant, and Jet Propulsion Laboratory (U.S.), eds. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
Technology, Canada Centre for Mineral and Energy. New Deconvolution Method For Analysis of Probability Density Distribution Spectra Observed in Gamma-Ray Interrogation Measurements of Multi-Phase Flows. S.l: s.n, 1985.
Centre canadien de la technologie des minéraux et de l'énergie. Nouvelle Méthode de Déconvolution Pour L'analyse des Spectres de Distribution de la Densité de Probabilité Obtenus Lors de Mesures D'interrogation Aux Rayons Gamma D'écoulements Multiphases. S.l: s.n, 1985.
John F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.
John F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.
Pierson, Willard J. Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.
J, Hu, Hopkins D. A, and Lewis Research Center, eds. An overview of engineering concepts and current design algorithms for probabilistic structural analysis. Cleveland, Ohio: NASA Lewis Research Center, 1995.
Baram, Yoram. Estimation and classification by sigmoids based on mutual information. [Washington, D.C: National Aeronautics and Space Administration, 1994.
United States. National Aeronautics and Space Administration., ed. PDF methods for combustion in high-speed turbulent flows: Second annual technical report. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Pope, Stephen B. PDF methods for combustion in high-speed turbulent flows: Second annual technical report. [Washington, D.C: National Aeronautics and Space Administration, 1995.
American Society of Civil Engineers., ed. Standard guideline for fitting saturated hydraulic conductivity using probability density functions ASCE/EWRI 50-08: Standard guideline for calculating the effective saturated hydraulic conductivity ASCE/EWRI 51-08. Reston, Va: American Society of Civil Engineers, 2008.
L, Crosson William, and United States. National Aeronautics and Space Administration., eds. Regional-scale hydrology with a new land surface processes model. Washington, DC: National Aeronautics and Space Administration, 1995.
L, Crosson William, and United States. National Aeronautics and Space Administration., eds. Regional-scale hydrology with a new land surface processes model. Washington, DC: National Aeronautics and Space Administration, 1995.
L, Crosson William, and United States. National Aeronautics and Space Administration., eds. Regional-scale hydrology with a new land surface processes model. Washington, DC: National Aeronautics and Space Administration, 1995.
United States. National Aeronautics and Space Administration., ed. A remote-sensing based technique to account for sub-grid scale variability of land surface properties. Washington, DC: National Aeronautics and Space Administration, 1995.
Devroye, Luc. Combinatorial Methods in Density Estimation. Springer, 2012.
Devroye, Luc, and Gábor Lugosi. Combinatorial Methods in Density Estimation. Springer London, Limited, 2012.
Lugosi, Gabor, and Luc Devroye. Combinatorial Methods in Density Estimation. Springer, 2001.
Topcu, Mehmet. Measured probability density function of a phased-locked loop output. 1987.
Tapia, Richard A., and James R. Thompson. Nonparametric Probability Density Estimation (Johns Hopkins Studies in the Mathematical Sciences). Johns Hopkins University Press, 2002.
Ryu, Hang Keun. Orthonormal basis and maximum entropy estimation of probability density and regression functions. 1990.