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1

Derakhshanmanesh, Mahdi. Model-Integrating Software Components. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-09646-5.

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2

Scott, Alasdair. A multivariate unobserved components model of cyclical activity. Reserve Bank of New Zealand, 2000.

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3

Army, United States, and Arroyo Center, eds. The readiness enhancement model: A personnel inventory projection model of the Army's reserve components. Rand, 1996.

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4

Bishop, Judith, and Antonio Vallecillo, eds. Objects, Models, Components, Patterns. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21952-8.

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5

Vitek, Jan, ed. Objects, Models, Components, Patterns. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13953-6.

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6

Furia, Carlo A., and Sebastian Nanz, eds. Objects, Models, Components, Patterns. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30561-0.

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7

Virginia Ground Water Protection Steering Committee. Implementing wellhead protection: Model components for local governments in Virginia. The Committee, 1998.

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8

Hosseini, Majid, and Muhammad Aqeel Ashraf. Application of the SWAT Model for Water Components Separation in Iran. Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55564-3.

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9

Archibald, T. W. Application of principal component analysis to an aggregate stochastic dynamic programming model of multiple reservoir systems. University of Edinburgh, Management School, 1995.

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10

Oriol, Manuel, and Bertrand Meyer, eds. Objects, Components, Models and Patterns. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02571-6.

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11

Paige, Richard F., and Bertrand Meyer, eds. Objects, Components, Models and Patterns. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69824-1.

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12

C, Harvey A., and Proietti Tommaso 1964-, eds. Readings in unobserved components models. Oxford University Press, 2005.

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13

A, Sturnock P., Daugherty J. K, and United States. National Aeronautics and Space Administration., eds. Cascade model of gamma-ray bursts: Power-law and annihilation-line components. Center for Space Science and Astrophysics, Stanford University, 1988.

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14

A, Sturnock P., Daugherty J. K, and United States. National Aeronautics and Space Administration., eds. Cascade model of gamma-ray bursts: Power-law and annihilation-line components. Center for Space Science and Astrophysics, Stanford University, 1988.

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15

A, Sturnock P., Daugherty J. K, and United States. National Aeronautics and Space Administration., eds. Cascade model of gamma-ray bursts: Power-law and annihilation-line components. Center for Space Science and Astrophysics, Stanford University, 1988.

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16

H, Allen David, Texas A & M University. Mechanics and Materials Center., and Langley Research Center, eds. A life prediction model for laminated composite structural components: Final technical report. Mechanics and Materials Center, Texas A&M University, 1990.

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17

Gentry, James A. Predicting industrial bond ratings with a probit model and funds flow components. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1985.

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18

Flury, Bernhard. Commonprincipal components and related multivariate models. Wiley, 1988.

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19

Sarantis, Nicholas. Unobserved components in an error-correction model of consumption for Southern European countries. Kingston University, Faculty of Human Sciences, 1998.

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20

Sharer, Elizabeth. Inventory Control (Known Demand): Choosing an Inventory Model for Industrial Security System Components. Edited by Hari Rajagopalan. SAGE Publications, Inc., 2024. http://dx.doi.org/10.4135/9781071974438.

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21

Wilson, Henry. Flight service evaluation of composite components on the Bell helicopter model 206L: Final report. National Aeronautics and Space Administration, Langley Research Center, 1993.

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22

Hoque, Faisal. E-enterprise: Business models, architecture, and components. Cambridge University Press, 2000.

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23

Flury, Bernhard. Common principal components and related multivariate models. Wiley, 1988.

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24

David, Hampton R., and Lewis Research Center, eds. The Microgravity Isolation Mount: A linearized state-space model á la Newton and Kane. National Aeronautics and Space Administration, Lewis Research Center, 1999.

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25

Redmond, Frank E. DCOM: Microsoft Distributed Component Object Model. IDG Books Worldwide, 1997.

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26

Fischer, Marco. A formal fault model for component-based models of embedded systems. TUDpress, 2007.

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27

Fund, International Monetary, ed. Long memory processes and chronic inflation: Detecting homogeneous components in a linear rational expectation model. International Monetary Fund, 1994.

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28

L, Pan H., and United States. National Aeronautics and Space Administration., eds. Mathematical model of bubble sloshing dynamics for cryogenic liquid helium in orbital spacecraft dewar container. Elsevier Science, Inc., 1995.

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29

Steinfort, Joop. The possible role of noncollagenous matrix components in dentin mineralization: The rat incisor as a model. s.n.], 1990.

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30

Gatowski, Sophia I. The Portland Model Court expanded second shelter hearing process: Evaluating best practice components of front-loading. Permanency Planning for Children Department, National Council of Juvenile and Family Court Judges, 2002.

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31

Cheung, Yin-Wong. Common predictable components in regional stock markets. City University of Hong Kong, Department of Economics and Finance, 1995.

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32

Tōkyō Daigaku. Kikō Shisutemu Kenkyū Sentā, ed. CCSR Ocean Component Model (COCO), version 2.1. Center for Climate System Research, University of Tokyo, 2000.

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33

Tōkyō Daigaku. Kikō Shisutemu Kenkyū Sentā, ed. CCSR Ocean Component Model (COCO), version 4.0. Center for Climate System Research, University of Tokyo, 2006.

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34

Museum, Royal British Columbia, ed. Wild harvest exhibit: Manufacturing methods of exhibit components. Royal British Columbia Museum, 1989.

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35

Jeff, Wilson. Building a ready-to-run model railroad: A quick and easy layout from off-the-shelf components. Kalmbach Books, 2008.

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36

Krishnakumar, Jayalakshmi. Estimation of Simultaneous Equation Models with Error Components Structure. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-45647-3.

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37

Krishnakumar, Jayalakshmi. Estimation of simultaneous equation models with error components structure. Springer-Verlag, 1988.

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38

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Mathematical models of gas turbine engines and their components. AGARD, 1994.

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39

Krishnakumar, Jayalakshmi. Estimation of simultaneous equation models with error components structure. Springer Verlag, 1988.

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40

H, Solnik Bruno. Predictable time-varying components of international asset returns. Research Foundation of the Institute of Chartered Financial Analysts, 1993.

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41

Rivaldo, James A., and Stevanne Auerbach. Model Programs and Their Components. Open Road Integrated Media, Inc., 2016.

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42

PUBLISHER, PRENTICE HALL. Molecular Model Set for General Chemistry (Molecular Model Components). Prentice Hall, 1989.

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43

Hillis, Stephen Richard. Rhetorical components within a model for preaching. 1989.

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44

Derakhshanmanesh, Mahdi. Model-Integrating Software Components: Engineering Flexible Software Systems. Springer Vieweg, 2015.

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45

McGinty, Dixie. Judgmental standard setting using a cognitive components model. s.n.], 1996.

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46

Derakhshanmanesh, Mahdi. Model-Integrating Software Components: Engineering Flexible Software Systems. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2015.

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47

Epstein, Joshua M. Mathematical Model. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691158884.003.0002.

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Abstract:
This part of the book describes explicit mathematical models for the affective, cognitive, and social components of Agent_Zero. It first considers some underlying neuroscience of fear and the role of the amygdala before turning to Rescorla–Wagner equations of conditioning. In particular, it explains how the fear circuit can be activated and how fear conditioning can occur unconsciously. It then reviews some standard nomenclature adopted by Ivan Pavlov in his study, Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex, with emphasis on David Hume's “associ
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48

Newman, Mark. The configuration model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0012.

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A discussion of the most fundamental of network models, the configuration model, which is a random graph model of a network with a specified degree sequence. Following a definition of the model a number of basic properties are derived, including the probability of an edge, the expected number of multiedges, the excess degree distribution, the friendship paradox, and the clustering coefficient. This is followed by derivations of some more advanced properties including the condition for the existence of a giant component, the size of the giant component, the average size of a small component, an
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49

Vitek, Jan. Objects, Models, Components, Patterns. Springer, 2011.

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50

The Magnet Model Components and Sources of Evidence, 2014 Edition. CreateSpace Independent Publishing Platform, 2013.

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