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1

Gliebe, John, Mark Bradley, Nazneen Ferdous, Maren Outwater, Haiyun Lin, and Jason Chen. Transferability of Activity-Based Model Parameters. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22384.

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2

Willke, Donald T. CRASH III model improvements: Vehicle categorization for stiffness parameters. U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1987.

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3

Christianus Bernardus Maria Te Stroet. Calibration of stochastic groundwater flow models: Estimation of noise statistics and model parameters. Eburon], 1995.

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4

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. ACT, Inc., 1997.

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5

Narendranathan, W. Estimating the parameters of interest in a job search model. University of Warwick Department of Economics, 1985.

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6

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. ACT, Inc., 1997.

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7

Tapia-Aguilar, Alberto. Accurate confidence intervals for regression parameters in proportional hazards model. [s.n.], 1994.

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8

Vladislav, Klein, and United States. National Aeronautics and Space Administration., eds. Accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1997.

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9

1953-, Hayes Kim F., U.S. Nuclear Regulatory Commission. Division of Low-Level Waste Management and Decommissioning., and Stanford University. Dept. of Civil Engineering., eds. Application of surface complexation models for radionuclide adsorption: Sensitivity analysis of model input parameters. Division of Low-Level Waste Management and Decommissioning, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1990.

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10

1953-, Hayes Kim F., U.S. Nuclear Regulatory Commission. Division of Low-Level Waste Management and Decommissioning., and Stanford University. Dept. of Civil Engineering., eds. Application of surface complexation models for radionuclide adsorption: Sensitivity analysis of model input parameters. Division of Low-Level Waste Management and Decommissioning, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1990.

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11

Leybourne, S. J. Estimating the unknown parameters in a time varying coefficient regression model. University of Nottingham, Dept. of Economics, 1992.

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12

Link, Carol L. Estimation and confidence intervals for parameters of a cumulative damage model. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1988.

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13

Leendertse, Jan J. Sensitivity of the major system parameters of an Eastern Scheldt model. Rand Corporation, 1988.

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14

Gao, Jingde. AC Machine Systems: Mathematical Model and Parameters, Analysis, and System Performance. Springer-Verlag Berlin Heidelberg, 2009.

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15

E, Morris R., and Atmospheric Research and Exposure Assessment Laboratory (U.S.), eds. Sensitivity of a regional oxidant model to variations in climate parameters. U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1989.

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16

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1995.

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17

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1995.

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18

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1995.

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19

Evernden, J. F. Predictive model for important ground motion parameters associated with large and great earthquakes. U.S. Geological Survey, 1988.

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20

Marsden, Michael A. Sensitivity analyses of the western root disease model to user-specified starting parameters. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1992.

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21

Evernden, J. F. Predictive model for important ground motion parameters associated with large and great earthquakes. U.S. G.P.O., 1988.

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22

Willke, Donald T. CRASH III model improvements: Derivation of new side stiffness parameters from crash tests. U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1987.

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23

Pohorecki, Władysław. Diagnostyka wybranych parametrów w modelu płaszcza reaktora termojądrowego =: Diagnostics of some parameters of a fusion reactor blanket model. Międzynarodowy Instytut Fizyki i Techniki Jądrowej AGH, 1989.

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24

Williams, Brian J. Effects of storm-related parameters on the accuracy of the nested tropical cyclone model. Naval Postgraduate School, 1986.

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25

Thomas, Banks H., and Institute for Computer Applications in Science and Engineering., eds. The estimation of material and patch parameters in a PDE-based circular plate model. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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26

Beltran, Daniel O. Estimating the parameters of a small open economy DSGE model: Identifiability and inferential validity. Federal Reserve Board, 2008.

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27

Scholz, M. J. Use of the HELP model to assist in estimation of heap leach water balance parameters. s.n, 1991.

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28

Macedo, E. A. Liquid-liquid equilibrium data collection: Tables, diagrams,and model parameters for binary, ternary, and quaternarysystems. DECHEMA, 1987.

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29

Miller, Timothy R. Empirical estimation of standard errors of compensatory MIRT model parameters obtained from the NOHARM estimation program: Research report ONR91-2. American College Testing Program, 1991.

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30

United States. National Aeronautics and Space Administration., ed. Stochastic model of the NASA/MSFC ground facility for large space structures with uncertain parameters, report. Dept. of Mathematics, University of Alabama, 1988.

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31

Thomas, Nehrkorn, Grassotti Christopher, and United States. National Aeronautics and Space Administration., eds. Distortion representation of forecast errors for model skill assessment and objective analysis: Technical report. National Aeronautics and Space Administration, 1996.

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32

Riley, Tracy C. Computation of chemical equilbrium in nonideal multi-electrolyte systems and the determination of activity-coefficient-model parameters. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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33

Lindstadt, Gregory L. Comparison of linear and non-linear hydrologic flood routing models on four California rivers and relationship of model parameters to channel physical characteristics. Hydraulic Engineering Laboratory and Water Resources Center Archives, University of California, 1986.

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34

Dall, Henrik. Development of a Computer Model for Stationary Turbulent 3-D Gas-Particle Flows: Characteristics parameters of gas-particle flow. Riso National Laboratory, 1988.

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35

L, Miller K., and United States. National Aeronautics and Space Administration., eds. Neutral winds derived from IRI parameters and from the HWM87 wind model for the sundial campaign of September, 1986. National Aeronautics and Space Administration, 1990.

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36

L, Horwitz James, Moore T. E, and United States. National Aeronautics and Space Administration., eds. DE-1 observations of polar 0+ stream bulk parameters and comparison with a model of the centrifugally-accelerated polar wind. National Aeronautics and Space Administration, 1995.

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37

L, Horwitz James, Moore T. E, and United States. National Aeronautics and Space Administration., eds. DE-1 observations of polar 0+ stream bulk parameters and comparison with a model of the centrifugally-accelerated polar wind. National Aeronautics and Space Administration, 1995.

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38

Center, Langley Research, ed. Modes of interconnected lattice trusses using continuum models. National Aeronautics and Space Administration, Langley Research Center, 1991.

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39

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

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40

D, Romack Randal, Illinois. Division of Water Resources, and Geological Survey (U.S.), eds. Development and organization of a geographic information system data base and its application to investigation of rainfall/runoff-model parameters in Illinois. U.S. Dept. of the Interior, U.S. Geological Survey, 1991.

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41

Kommission, Deutsche Geodätische, ed. Physically consistent system model for the study of the Earth's rotation, surface deformation and gravity field parameters: Scientific results of the DFG project. Verlag der Bayerischen Akademie der Wissenschaften, 2009.

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42

Endres, J. C. T. Scale-up and system influences on hydrodynamic and mass transfer model parameters (especially drop-side mass coefficients) for prediction of extraction column performance. UMIST, 1993.

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43

Baryshnikov, Nikolay, and Denis Samygin. A strategic model for the sustainability of agrarian business: the options, risks, solutions. INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/25264.

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Abstract:
The monograph substantiates the parameters of the formation of the concept of sustainability of the agricultural economy, summarizes the tools of financial management of the agricultural sector. The analysis of liquidity and diagnostics of efficiency of agricultural business is carried out on the example of commodity producers in the region.the models of agricultural policy for managing financial resources and sources of their formation are based on them.
 The investment attractiveness is assessed and the financial and economic risks of agricultural business are measured. Financial soluti
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44

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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45

Atkins, John T. Calibration parameters used to simulate streamflow from application of the hydrologic simulation program-FORTRAN model (HSPF) to mountainous basins containing coal mines in West Virginia. U.S. Dept. of the Interior, U.S. Geological Survey, 2005.

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46

Richardson, D. E. Automated spatial and thematic generalization using a context transformation model: Integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions. R&B Publications, 1993.

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47

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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48

Gorokhovski, Vikenti. Effective Parameters of Hydrogeological Models. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03569-7.

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49

Gorokhovski, Vikenti. Effective Parameters of Hydrogeological Models. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23722-5.

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50

I, Ferrero Albert, ed. Antennas: Parameters, models and applications. Nova Science Publishers, 2008.

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