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1

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

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2

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

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3

Devroye, Luc, and 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.

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4

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

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5

László, Györfi, ed. Nonparametric density estimation: The L₁ view. New York: Wiley, 1985.

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6

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

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7

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.

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8

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

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9

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

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10

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.

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11

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

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12

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

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13

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

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14

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

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15

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

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16

G, Foote K., and 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.

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17

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

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18

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

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19

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.

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20

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

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21

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

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22

1955-, Duffy S. F., Palko Joseph L, and 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.

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23

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.

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24

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.

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25

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

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Abstract:
General analysis of the distribution of crystals orientation and dislocation density in the polycrystalline system is presented. 
 Recovered information in diffraction of X-rays adopting is new to structure states of polycrystal. Shear phase transformations in metals — at the macroscopic and microscopic levels — become a clear process. 
 Visualizing the advances is produced by program included in package delivered. Mathematical models developing, experimental design, optimal statistical estimation, simulation the system under study and evolution process on loading serves as instrumen
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26

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.

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27

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

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28

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

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29

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

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30

Messaci, Fatiha. Estimation de la densité spectrale d'un processus en temps continu par échantillonnage poissonnien. Grenoble: A.N.R.T. Université Pierre Mendès France Grenoble 2, 1986.

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31

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.

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32

ODILE. Functional Estimation Density Regressihb: Functional Estimation for Density, Regression Models and Processes. World Scientific Publishing Co Pte Ltd, 2023.

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33

Maximum Penalized Likelihood Estimation : Volume I: Density Estimation. Springer, 2001.

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34

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

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35

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

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36

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

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37

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

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38

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

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39

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

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40

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

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41

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

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42

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

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43

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

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44

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

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45

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

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46

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

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47

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

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48

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

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49

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

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50

Scott, David W. Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley & Sons, Incorporated, John, 2009.

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