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1

Emami, S. D. Thulium-doped fiber amplifier, numerical and experimental approach. New York: Nova Science Publishers, 2011.

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2

Ratingen, Michiel René van. Mechanical identification of inhomogeneous solids: A mixed numerical experimental approach. Eindhoven: Technische Universiteit Eindhoven, 1994.

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3

Wang, Hong-Bo. Heat transfer analysis of components of construction exposed to fire: A theoretical, numerical and experimental approach. Salford: University of Salford, 1995.

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4

Berghaus, Donald. Numerical Methods for Experimental Mechanics. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1473-2.

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5

Josep, Sol Maria, Beddor Patrice Speeter e Ohala Manjari, eds. Experimental approaches to phonology. New York: Oxford University Press, 2007.

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6

Josep, Sol Maria, Beddor Patrice Speeter e Ohala Manjari, eds. Experimental approaches to phonology. New York: Oxford University Press, 2007.

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7

Maria-Josep, Solé, Beddor Patrice Speeter e Ohala Manjari, eds. Experimental approaches to phonology. Oxford: Oxford University Press, 2007.

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8

Josep, Sol Maria, Beddor Patrice Speeter e Ohala Manjari, eds. Experimental approaches to phonology. New York: Oxford University Press, 2007.

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9

S, Oran Elaine, e Boris Jay P, eds. Numerical approaches to combustion modeling. Washington, DC: American Institute of Aeronautics and Astronautics, 1991.

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10

Bequet, Marc C., ed. Teleoperation: Numerical Simulation and Experimental Validation. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2648-9.

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11

Bequet, Marc C. Teleoperation: Numerical Simulation and Experimental Validation. Dordrecht: Springer Netherlands, 1992.

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12

The Nuclear Magnetic Resonance Soci, ed. Experimental Approaches of NMR Spectroscopy. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5966-7.

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13

S, Gordon Malcolm, e Bartol Soraya M. 1970-, eds. Experimental approaches to conservation biology. Berkeley: University of California Press, 2004.

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14

-P, Hammes H., e Porta M, eds. Experimental approaches to diabetic retinopathy. Basel: Karger, 2010.

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15

H, White Stephen, ed. Membrane protein structure: Experimental approaches. New York: Oxford University Press, 1994.

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16

1953-, Jacobson Kenneth Alan, e Jarvis Michael F, eds. Purinergic approaches in experimental therapeutics. New York: Wiley-Liss, 1997.

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17

Schanz, Tom, ed. Unsaturated Soils: Numerical and Theoretical Approaches. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b138015.

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18

Sol, H., e C. W. J. Oomens, eds. Material Identification Using Mixed Numerical Experimental Methods. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1471-1.

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19

Gunal, M. R. Numerical and experimental investigations of hydraulic jumps. Manchester: UMIST, 1996.

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20

J, Donéa, Jones P. M. 1937- e Commission of the European Communities. Joint Research Centre. Ispra Establishment., eds. Experimental and numerical methods in earthquake engineering. Dordrecht: Kluwer Academic Publishers, 1991.

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21

Delgado, J. M. P. Q., ed. Building Pathologies: Experimental Campaigns and Numerical Procedures. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17061-4.

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22

Martin, Elliott J., Heal David J e Marsden C. A, eds. Experimental approaches to anxiety and depression. Chichester: John Wiley, 1992.

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23

Rogers, Wendy Stainton. Social psychology: Experimental and critical approaches. Phildelphia, Pa: Open University, 2003.

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24

Hembree, Daniel I., Brian F. Platt e Jon J. Smith, eds. Experimental Approaches to Understanding Fossil Organisms. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8721-5.

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25

1940-, Cook V. J., ed. Experimental approaches to second language learning. Oxford [Oxfordshire]: Pergamon Institute of English, 1986.

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26

Experimental, Numerical and Field Approaches to Scour Research. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2196-1.

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27

Marotrao, Kakandikar Ganesh, D. Ravi Kumar e Anupam Agrawal. Metal Forming Processes: Developments in Experimental and Numerical Approaches. Taylor & Francis Group, 2022.

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28

Marotrao, Kakandikar Ganesh, D. Ravi Kumar e Anupam Agrawal. Metal Forming Processes: Developments in Experimental and Numerical Approaches. Taylor & Francis Group, 2022.

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29

Marotrao, Kakandikar Ganesh, D. Ravi Kumar e Anupam Agrawal. Metal Forming Processes: Developments in Experimental and Numerical Approaches. CRC Press LLC, 2022.

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30

Marotrao, Kakandikar Ganesh, D. Ravi Kumar e Anupam Agrawal. Metal Forming Processes: Developments in Experimental and Numerical Approaches. Taylor & Francis Group, 2022.

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31

Marotrao, Kakandikar Ganesh, D. Ravi Kumar e Anupam Agrawal. Metal Forming Processes: Developments in Experimental and Numerical Approaches. CRC Press LLC, 2022.

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32

Lesiuk, Grzegorz, Mieczyslaw Szata, Wojciech Blazejewski, Abílio M. P. de Jesus e José A. F. O. Correia. Structural Integrity and Fatigue Failure Analysis: Experimental, Theoretical and Numerical Approaches. Springer International Publishing AG, 2022.

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33

Structural Integrity and Fatigue Failure Analysis: Experimental, Theoretical and Numerical Approaches. Springer International Publishing AG, 2023.

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34

Flapping Wing Vehicles: Numerical and Experimental Approach. Taylor & Francis Group, 2023.

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35

Yang, Lung-Jieh, e Balasubramanian Esakki. Flapping Wing Vehicles: Numerical and Experimental Approach. Taylor & Francis Group, 2021.

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36

Yang, Lung-Jieh, e Balasubramanian Esakki. Flapping Wing Vehicles: Numerical and Experimental Approach. Taylor & Francis Group, 2021.

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37

Flapping Wing Vehicles: Numerical and Experimental Approach. Taylor & Francis Group, 2021.

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38

Schanz, Tom. Unsaturated Soils : Numerical and Theoretical Approaches: Proceedings of the International Conference "From Experimental Evidence towards Numerical ... 18-19, 2003. Springer, 2014.

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39

Fernandes, António Augusto, Abílio M.P. de Jesus e Renato Natal Jorge. Monotonic and Ultra-Low-Cycle Fatigue Behaviour of Pipeline Steels: Experimental and Numerical Approaches. Springer, 2019.

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40

Fernandes, António Augusto, Abílio M.P. de Jesus e Renato Natal Jorge. Monotonic and Ultra-Low-Cycle Fatigue Behaviour of Pipeline Steels: Experimental and Numerical Approaches. Springer, 2018.

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41

Sousa, Ricardo. Current State-Of-the-Art on Material Forming: Numerical and Experimental Approaches at Different Length-Scales. Trans Tech Publications, Limited, 2013.

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42

Schanz, T. Unsaturated Soils: Numerical and Theoretical Approaches: Proceedings of the International Conference "From Experimental Evidence towards Numerical Modeling ... 2003 (Springer Proceedings in Physics). Springer, 2004.

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43

Schanz, Tom. Unsaturated Soils : Numerical and Theoretical Approaches: Proceedings of the International Conference from Experimental Evidence Towards Numerical Modeling of Unsaturated Soils , Weimar, Germany, September 18-19 2003. Springer London, Limited, 2006.

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44

Kokate, Jaydeep Yeshwant. CRITICAL THRESHOLDS FOR CAUSATION OF CUTANEOUS AND SUBCUTANEOUS INJURY IN A PORCINE MODEL: EXPERIMENTAL AND NUMERICAL APPROACHES (PRESSURE ULCERS, BURNS). 1996.

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45

d'Inverno, Ray. Approaches to Numerical Relativity. Cambridge University Press, 2011.

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46

d'Inverno, Ray, ed. Approaches to Numerical Relativity. Cambridge University Press, 1992. http://dx.doi.org/10.1017/cbo9780511524639.

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47

d'Inverno, Ray. Approaches to Numerical Relativity. Cambridge University Press, 1993.

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48

d'Inverno, Ray. Approaches to Numerical Relativity. Cambridge University Press, 2005.

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49

d'Inverno, Ray. Approaches to Numerical Relativity. Cambridge University Press, 2009.

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50

Boudreau, Joseph F., e Eric S. Swanson. Data modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0016.

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Resumo:
A variety of techniques for extracting information from data are presented, from pedestrian approaches such as the centuries old linear least-squares fit, to elegant binned and unbinned likelihood fits. A treatment of statistical combination of data leads to an introduction to the powerful Kalman filter approach, used to determine optimal estimates of deterministic-stochastic systems. In experimental physics the Kalman filter is used estimate trajectories from data, but it also finds applications in industrial process control, and in the aeronautics and robots industries. These techniques typically rely on either analytic or numerical optimization of an objective function. Orthogonal series density estimation, a Fourier technique, is also discussed.
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