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1

Eliason, Scott. Maximum Likelihood Estimation. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1993. http://dx.doi.org/10.4135/9781412984928.

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2

Eggermont, P. P. B., and V. N. LaRiccia. Maximum Penalized Likelihood Estimation. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-0716-1244-6.

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3

LaRiccia, Vincent N., and Paul P. Eggermont. Maximum Penalized Likelihood Estimation. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b12285.

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4

N, LaRiccia V., ed. Maximum penalized likelihood estimation. New York: Springer, 2001.

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5

Millar, Russell B. Maximum Likelihood Estimation and Inference. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470094846.

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6

Jeffrey, Pitblado, Sribney William, and Stata Corporation, eds. Maximum likelihood estimation with stata. 3rd ed. College Station, Tex: Stata Press, 2006.

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7

S, Pitblado Jeffrey, and Poi Brian, eds. Maximum likelihood estimation with Stata. 4th ed. College Station, Tex: Stata Press, 2010.

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8

Nagelkerke, Nico J. D. Maximum Likelihood Estimation of Functional Relationships. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2858-5.

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9

Nagelkerke, Nico J. D. Maximum likelihood estimation of functional relationships. Berlin: Springer-Verlag, 1992.

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10

Ruprecht, Jürg. Maximum-likelihood estimation of multipath channel. Konstanz: Hartung-Gorre, 1989.

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11

Groeneboom, Piet, and Jon A. Wellner. Information Bounds and Nonparametric Maximum Likelihood Estimation. Basel: Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-8621-5.

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12

Wooldridge, Jeffrey M. Specification testing and quasi-maximum likelihood estimation. Cambridge, MA: Dept. of Economics, Massachusetts Institute of Technology, 1987.

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13

Diebold, Francis X. Exact maximum likelihood estimation of ARCH models. Philadelphia: Federal Reserve Bank of Philadelphia, Economic Research Division, 1993.

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14

Sandmann, G. Maximum likelihood estimation of stochastic volatility models. London: London School of Economics, Financial Markets Group, 1996.

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15

Aït-Sahalia, Yacine. Maximum likelihood estimation of stochastic volatility models. Cambridge, MA: National Bureau of Economic Research, 2004.

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16

Bates, David S. Maximum likelihood estimation of latent affine processes. Cambridge, Mass: National Bureau of Economic Research, 2003.

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17

Groeneboom, P. Information bounds and nonparametric maximum likelihood estimation. Basel: Birkhäuser, 1992.

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18

Greenblatt, Seth A. Tensor methods for full-information maximum likelihood estimation: Unconstrained estimation. Reading: University of Reading. Department of Economics, 1992.

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19

Ruiz, Esther. Quasi-maximum likelihood estimation of stochastic variance models. London: London School of Economics and Political Science, Suntory Toyota International Centre for Economics and Related Disciplines, 1992.

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20

B, Fomby Thomas, and Hill R. Carter, eds. Maximum likelihood estimation of misspecified models: Twenty years later. Amsterdam: Elsevier/JAI, 2003.

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21

Greenblatt, Seth A. Tensor methods for full-information maximum likelihood estimation: Estimation with parameter constraints. Reading: University of Reading. Department of Economics, 1992.

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22

Holly, Alberto. A note on instrumental variables and maximum likelihood estimation procedures. London: London School of Economics, 1986.

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23

Corporation, Assessment Systems, ed. User's manual for the XCALIBRE marginal maximum-likelihood estimation program. St. Paul, MN: Assessment Systems Corporation, 1996.

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24

Lewis, Peter A. W. Gamma processes. Monterey, Calif: Naval Postgraduate School, 1986.

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25

Bollerslev, Tim. Quasi-maximum likelihood estimation of dynamic models with time varying covariances. Cambridge, Mass: Massachusetts Institute of Technology, 1988.

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26

E, Maine Richard, and Dryden Flight Research Facility, eds. More than you may want to know about maximum likelihood estimation. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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27

S, Burrus C., ed. Maximum-likelihood deconvolution: A journey into model-based signal processing. New York: Springer-Verlag, 1990.

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28

Mendel, Jerry M. Maximum-Likelihood Deconvolution: A Journey into Model-Based Signal Processing. New York, NY: Springer New York, 1990.

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29

Gaver, Donald Paul. Preliminary results from the anlysis of wind component error: July data. Monterey, Calif: Naval Postgraduate School, 1992.

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30

Millar, R. B. Maximum likelihood estimation and inference: With examples in R, SAS, and ADMB. Hoboken, N.J: Wiley, 2011.

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31

Fuhrer, Jeffrey C. Computationally efficient solution and maximum likelihood estimation of nonlinear rational expectations models. Boston: Federal Reserve Bank of Boston, 1996.

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32

Ferger, D. On the almost sure convergence of maximum likelihood-type estimators for a change point. Dresden: Technische Universität Dresden, Institut für Mathematische Stochastik, 2004.

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33

Charemza, W. Maximum likelihood methods of estimation for disequilibrium models in a centrally planned economy. Birmingham: University of Birmingham, Centre for Russian and East European Studies, 1985.

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34

Hurn, A. S. Modelling the lifespan of human lymphocyte subsets: Maximum likelihood estimation by embedded simulation. Glasgow: Glasgow University Department of Political Economy, 1994.

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35

Pesaran, Bahram. Exact maximum likelihood estimation of regression models with invertible general order movingaverage disturbances. London: National Institute of Economic and Social Research, 1988.

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36

Paolino, Jon-Paul Noel. Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models. [New York, N.Y.?]: [publisher not identified], 2013.

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37

Silk, Julian. Maximum likelihood estimation of singular systems of equations: An application to translog cost functions. Ramat-Gan, Israel: Dept. of Economics, Bar-Ilan University, 1994.

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38

Cappellari, Lorenzo. Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation. Bonn, Germany: IZA, 2006.

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39

Cheung, Yin-Wong. On maximum-likelihood estimation of the differencing parameter of fractionally integrated noise with unknown mean. Philadelphia: Federal Reserve Bank of Philadelphia, Economic Research Division, 1993.

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40

Geological Survey (U.S.), ed. Adjusted maximum likelihood estimation of the moments of lognormal populations from type 1 censored samples. [Denver, Colo.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

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41

Geological Survey (U.S.), ed. Adjusted maximum likelihood estimation of the moments of lognormal populations from type 1 censored samples. [Denver, Colo.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

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42

Wiesen, Christopher. Learn to Use Maximum Likelihood Parameter 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/10.4135/9781526498939.

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43

Lejeune, Bernard. Error components models and variable heterogeneity: Modelisation, second order pseudo-maximum likelihood estimation and specification testing. Grenoble: A.N.R.T, Université Pierre Mendes France (Grenoble II), 1998.

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44

Leeuw, Jaap H. de. The application of linear maximum likelihood estimation of aerodynamic derivatives for the Bell-205 and Bell-206. Ottawa: National Research Council Canada, 1987.

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45

Schwenzfeger, K. J. Comparison of ERS-1 scatterometer Monte Carlo performance simulations using a weighted nonlinear least-squares and a maximum likelihood estimation method. Neubiberg: Hochschule der Bundeswehr München, 1985.

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46

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

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47

Lee, Kyle H., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. User's guide: Nimbus-7 earth radiation budget narrow-field-of-view products: Scene radiance tape products, sorting into angular bins products, and maximum likelihood cloud estimation products. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1990.

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48

Lee, Kyle H., ed. User's guide--Nimbus-7 earth radiation budget narrow-field-of-view products: Scene radiance tape products, sorting into angular bins products, and maximum likelihood cloud estimation products. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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49

Kyle, H. Lee. User's guide: Nimbus-7 earth radiation budget narrow-field-of-view products: Scene radiance tape products, sorting into angular bins products, and maximum likelihood cloud estimation products. Greenbelt, Md: Goddard Space Flight Center, 1990.

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50

Maximum Likelihood Estimation of Exponentials in Unknown Colored Noise for Target Identification in Synthetic Aperture Radar Images. Storming Media, 1996.

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