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1

Knopov, Pavel Solomonovich. Simulation and optimization methods in risk and reliability theory. Nova Science Publishers, 2008.

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2

Satdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. 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 instrumentation.
 To reduce advanced methods to research and studies problem-oriented software will promote when installed. Automation programs passed a testing in the National University of Science and Technology “MISIS” (The Russian Federation, Moscow).
 You score an advantage in theoretical and experimental research in the field of physics of metals.
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3

Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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4

Wegkamp, M. H. Entropy methods in statistical estimation. CWI, 1998.

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5

Manski, Charles F. Analog estimation methods in econometrics. Chapman and Hall, 1988.

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6

Horowitz, Joel L. Semiparametric methods in econometrics. Springer, 1998.

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7

Efromovich, Sam. Nonparametric curve estimation: Methods, theory and applications. Springer, 1999.

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8

Simulation and social theory. Sage, 2001.

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9

Balakrishnan, N. Order statistics and inference: Estimation methods. Academic Press, 1991.

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10

Händel, Peter. Estimation methods for narrow-band signals. Uppsala University, Dept. of Technology Systems and Control Group, 1993.

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11

Datta-Gupta, Akhil. Streamline simulation: Theory and practice. Society of Petroleum Engineers, 2007.

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12

J, King Michael, and Society of Petroleum Engineers (U.S.), eds. Streamline simulation: Theory and practice. Society of Petroleum Engineers, 2007.

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13

Kay, Steven M. Fundamentals of statistical signal processing: Estimation theory. Prentice-Hall International, 1993.

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14

Kay, Steven M. Fundamentals of statistical signal processing: Estimation theory. PTR Prentice Hall, 1993.

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15

Max-plus methods for nonlinear control and estimation. Birkhäuser, 2006.

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16

Max-plus methods for nonlinear control and estimation. Birkhauser, 2005.

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17

Detection, estimation, and modulation theory. Krieger Pub. Co., 1992.

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18

Detection, estimation, and modulation theory. Wiley, 2001.

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19

Ploss, Gerhard. Ein dynamisches Verfahren zur Schätzung von Verkehrsbeziehungen aus Querschnittszählungen. Fachgebiet Verkehrstechnik und Verkehrsplanung der Technischen Universität München, 1993.

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20

Horowitz, Joel. Semiparametric methods in econometrics. Springer, 1998.

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21

R, Thompson James. Nonparametric function estimation, modeling, and simulation. Society for Industrial and Applied Mathematics, 1990.

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22

Simulation in textile technology: Theory and applications. Woodhead Pub., 2012.

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23

Eyman, Earl D. Modeling, simulation, and control. West Pub. Co., 1988.

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24

Maximum likelihood estimation: Logic and practice. Sage, 1993.

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25

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

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26

Jürg, Hutter, ed. Ab initio molecular dynamics: Basic theory and advanced methods. Cambridge University Press, 2009.

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27

Introduction to stochastic search and optimization: Estimation, simulation, and control. J. Wiley, 2003.

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28

Leeuw, Edith Desirée de. Assumptions, robustness, and estimation methods in multivariate modeling. TT-publikaties, 1998.

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29

Dahlberg, Matz. Essays on estimation methods and local public economics. Dept. of Economics, Uppsala University, 1997.

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30

Regularization methods in Banach spaces. De Gruyter, 2012.

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31

Andrews, D. F. General saddlepoint approximation methods for bootstrap computations. University of Toronto, Department of Statistics, 1993.

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32

Betts, John T. Practical methods for optimal control and estimation using nonlinear programming. 2nd ed. Society for Industrial and Applied Mathematics, 2009.

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33

Betts, John T. Practical methods for optimal control and estimation using nonlinear programming. 2nd ed. Society for Industrial and Applied Mathematics, 2009.

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34

Betts, John T. Practical methods for optimal control and estimation using nonlinear programming. 2nd ed. Society for Industrial and Applied Mathematics, 2010.

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35

David, Crookall, ed. Simulation-gaming in the late 1980s: Proceedings of the International Simulation and Gaming Association's 17th International Conference. Pergamon Press, 1987.

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36

Rothenberg, Jeff. Object-oriented simulation: Where do we go from here? Rand Corp., 1989.

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37

Inverse problem theory: Methods for data fitting and model parameter estimation. Elsevier, 1987.

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38

Sugano, Kiyohiko. Biopharmaceutics modeling and simulations: Theory, practice, methods, and applications. John Wiley & Sons, 2013.

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39

Jinfang, Wang, ed. Numerical methods for nonlinear estimating equations. Clarendon Press, 2003.

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40

Vamos¸, C˘alin. Automatic trend estimation. Springer Netherlands, 2013.

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41

service), SpringerLink (Online, ed. Mono- and Multivariable Control and Estimation: Linear, Quadratic and LMI Methods. Springer-Verlag Berlin Heidelberg, 2011.

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42

Langlois, Patrice. Simulation of complex systems in GIS theory and applications. ISTE/John Wiley & Sons, 2010.

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43

Langlois, Patrice, and Patrice Langlois. Simulation of complex systems in GIS theory and applications. ISTE/John Wiley & Sons, 2010.

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44

Abt, Clark C. Serious games. University Press of America, 1987.

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45

I, Repin Sergey, ed. Reliable methods for computer simulation: Error control and a posteriori estimates. Elsevier, 2004.

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46

Parandvash, G. Hossein. On the incorporation of nonnumeric information into the estimation of economic relationships in the presence of multicollinearity. 1987.

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47

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

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48

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

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49

Mathematical Statistics: Theory and Applications. De Gruyter, 2020.

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50

Drukker, David M. Missing Data Methods: Time-Series Methods and Applications. Emerald Publishing Limited, 2011.

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