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Books on the topic 'Parameter'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kuhn, Jonathan Richard Dixon. Parameter forcing. [s.n.], 1994.

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2

Roeper, Thomas, and Edwin Williams, eds. Parameter Setting. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3727-7.

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3

Thomas, Roeper, and Williams Edwin, eds. Parameter setting. D. Reidel Pub. Co., 1987.

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4

Coca, D. Direct parameter identification of distributed parameter systems. University of Sheffield, Dept. of Automatic Control and Syste,s Engineering, 1998.

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5

Kappel, Franz, Karl Kunisch, and Wilhelm Schappacher, eds. Distributed Parameter Systems. Springer-Verlag, 1987. http://dx.doi.org/10.1007/bfb0041979.

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6

Kappel, Franz, Karl Kunisch, and Wilhelm Schappacher, eds. Distributed Parameter Systems. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/bfb0005641.

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7

Alexandrova, Galina M., and Olga Arnaudova, eds. The Minimalist Parameter. John Benjamins Publishing Company, 2001. http://dx.doi.org/10.1075/cilt.192.

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8

Lebbe, Luc C. Hydraulic Parameter Identification. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0.

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9

Tibshirani, Robert. Non-resistant parameter. University of Toronto, Dept. of Statistics, 1986.

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10

Bondre-Beil, Priyamvada. Parameter der Syntax. M. Niemeyer Verlag, 1994.

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11

Jiao, Jiujiu. Sensitivity features of aquifer parameters and their implications on parameter estimation. University of Birmingham, 1993.

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12

Newbold, Paul, and Theodore Bos. Stochastic Parameter Regression Models. SAGE Publications, Inc., 1985. http://dx.doi.org/10.4135/9781412985994.

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13

Smith, Carlota S. The Parameter of Aspect. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5606-6.

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14

Smith, Carlota S. The Parameter of Aspect. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7911-7.

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15

Volponi, Allan J. Gas Turbine Parameter Corrections. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41076-6.

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16

Bock, Hans Georg, Thomas Carraro, Willi Jäger, Stefan Körkel, Rolf Rannacher, and Johannes P. Schlöder, eds. Model Based Parameter Estimation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30367-8.

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17

Jaeggli, Osvaldo A., and Kenneth J. Safir, eds. The Null Subject Parameter. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2540-3.

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18

Shin, Dong Ryong. Parameter plane design method. Naval Postgraduate School, 1989.

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19

Winiarska, Teresa. Differential equations with parameter. T. Kościuszko technical University of Cracow, 1988.

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20

Smith, Carlota S. The parameter of aspect. 2nd ed. Kluwer, 1997.

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21

Kolb, Armin. Prognostische Parameter beim Ösophaguscarcinom. [s.n.], 1988.

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22

Theodore, Bos, ed. Stochastic parameter regression models. Sage Publications, 1985.

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23

Andres, Terry. SYVAC3 parameter distribution package. Whiteshell Laboratories, [AECL Research], 1995.

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24

Cole, M. D. The pro-drop parameter. University of Salford, 1994.

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25

Rochman, Meuthia G. HAM sebagai parameter pembangunan. ELSAM, 1997.

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26

Smith, Carlota S. The parameter of aspect. Kluwer Academic Publishers, 1991.

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27

Theodore, Bos, ed. Stochastic parameter regression models. Sage Publications, 1985.

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28

Osvaldo, Jaeggli, and Safir Kenneth J, eds. The Null subject parameter. Kluwer Academic Publishers, 1989.

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29

Cohen, A. Clifford. Parameter estimation in reliability and life span models. M. Dekker, 1988.

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30

Hillegers, L. T. M. E. The estimation of parameters in functional relationship models. L.T.M.E. Hillegers, 1986.

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31

Palmer, Micheal T. Effects of expected-value information and display format on recognition of aircraft subsystem abnormalities. Langley Research Center, 1994.

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32

Sunahara, Y. A method of boundary parameter estimation for a two-dimensional diffusion system under noisy observations. ICASE, 1987.

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33

Auriol, Jean, Joachim Deutscher, Guilherme Mazanti, and Giorgio Valmorbida, eds. Advances in Distributed Parameter Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94766-8.

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34

Butkovskiy, A. G., and L. M. Pustyl’nikov. Characteristics of Distributed-Parameter Systems. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2062-3.

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35

Gutman, Shaun, ed. Root Clustering in Parameter Space. Springer-Verlag, 1990. http://dx.doi.org/10.1007/bfb0042758.

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36

Lobo, Fernando G., Cláudio F. Lima, and Zbigniew Michalewicz, eds. Parameter Setting in Evolutionary Algorithms. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69432-8.

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37

Sun, Ne-Zheng, and Alexander Sun. Model Calibration and Parameter Estimation. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2323-6.

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38

Kirchknopf, Peter. Ermittlung modaler Parameter aus Übertragungsfrequenzgängen. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-75093-9.

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39

van Eeden, Constance. Restricted Parameter Space Estimation Problems. Springer New York, 2006. http://dx.doi.org/10.1007/978-0-387-48809-7.

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40

Temath, Bettina. Kulturelle Parameter in der Werbung. VS Verlag für Sozialwissenschaften, 2011. http://dx.doi.org/10.1007/978-3-531-92635-3.

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41

Peters, Martin. Classification of two-parameter bifurcations. typescript, 1991.

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42

Prussing, John E. Parameter Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811084.003.0002.

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Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to minimize the cost function.

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43

Vaez-Zadeh, Sadegh. Parameter Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0007.

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In this chapter, the estimation of permanent magnetic synchronous (PMS) motor parameters, including stator winding resistance, motor inductances, and magnitude of permanent magnet flux linage, is presented in two main categories, i.e., offline and online. Several offline schemes, including DC and AC standstill tests, no-load test, load test, and vector control schemes, are presented for estimation of all the motor parameters. Major online schemes used in the estimation of PMS motor parameters are also presented in this chapter. They include closed-loop observer-based estimation, model referenc

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44

Roeper, Thomas, and Edwin Williams. Parameter Setting. Springer London, Limited, 2012.

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45

Alexandrova, Galina M., and Olga Arnaudova. Minimalist Parameter. Benjamins Publishing Company, John, 2001.

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46

Parameter Setting. Springer, 2011.

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47

Cheng, Russell. Randomized-Parameter Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0013.

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This chapter does not involve non-standard behaviour but is included as a contribution to the broader book theme on model building. The basic idea is to obtain greater flexibility in fitting a standard two-parameter base distribution by multiplying one of its parameters by a one-parameter mixing random variable with mean unity. Absorbing the random effect by integration yields what will be called a randomized parameter (also called compound) distribution depending on all three parameters involved. This chapter collects together a large number of examples where there is a gamma mixing distribut

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48

One-parameter semigroups. North-Holland, 1987.

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49

System Parameter Identification. Elsevier, 2013. http://dx.doi.org/10.1016/c2012-0-01233-1.

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50

Shimizu, S., A. Fiechter, C. Kleinstreuer, et al. Bioprocess Parameter Control. Springer, 2013.

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