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Books on the topic 'Model of intermediate complexity'

Author: Grafiati

Published: 9 June 2023

Last updated: 19 July 2025

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1

LeRoy, Ward J., ed. Program management complexity: A competency model. Auerbach Publications, 2011.

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2

Lomas, Dennis R. Model-driven object recognition: Complexity issues. University of Toronto, Dept. of Computer Science, 1992.

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3

A, Mnich Marc, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Minimum-complexity helicopter simulation math model. National Aeronautics and Space Administration, Ames Research Center, 1988.

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4

Lomas, Dennis Ray. Model-driven object recognition: Complexity issues. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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5

A, Mnich Marc, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Minimum-complexity helicopter simulation math model. National Aeronautics and Space Administration, Ames Research Center, 1988.

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6

E, Arnold Jeanne, ed. Emergent complexity: The evolution of intermediate societies. International Monographs in Prehistory, 1996.

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7

Caballero, Ricardo J. Fire sales in a model of complexity. Massachusetts Institute of Technology, Dept. of Economics, 2009.

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8

Gorban, Alexander N., and Dirk Roose, eds. Coping with Complexity: Model Reduction and Data Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14941-2.

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9

Kaplow, Louis. A model of the optimal complexity of rules. National Bureau of Economic Research, 1992.

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10

Dirk, Roose, and SpringerLink (Online service), eds. Coping with Complexity: Model Reduction and Data Analysis. Springer-Verlag Berlin Heidelberg, 2011.

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11

Greenwood, Peter W. The Rand intermediate-sanction cost estimation model. Rand Corp., 1989.

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12

Espejo, Raul. Organizational Systems: Managing Complexity with the Viable System Model. Springer-Verlag Berlin Heidelberg, 2011.

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13

Otto, Martin. Bounded variable logics and counting: A study in finite models. Springer, 1996.

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14

Otto, Martin. Bounded variable logics and counting: A study in finite models. Springer, 1997.

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15

Neiman, Brent. A state-dependent model of intermediate goods pricing. National Bureau of Economic Research, 2010.

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16

Rao, J. Sunil. Bootstrap model selection via the cost complexity parameter in regression. University of Toronto, Department of Statistics, 1993.

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17

Myers, Christopher R. Slip complexity in a crustal-plane model of an earthquake fault. Cornell Theory Center, Cornell University, 1994.

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18

Lerer, Leonard B. Quality and complexity in the health care sector: Towards an inclusive model. INSEAD, 1999.

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19

Nalecz, Andrzej G. Development and analysis of intermediate tripped vehicle rollover model (ITRS). U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1989.

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20

Grancharova, Alexandra. Explicit Nonlinear Model Predictive Control: Theory and Applications. Springer Berlin Heidelberg, 2012.

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21

Ajakaiye, David Olusanya Ishola. Model-based estimates of sectoral intermediate demands for Nigeria, 1974-77. Nigerian Institute of Social and Economic Research (NISER), 1989.

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22

Boyles, Nancy N. Launching RTI comprehension instruction with shared reading: 40 model lessons for intermediate readers. Maupin House Pub., 2009.

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23

Boyles, Nancy N. Launching RTI comprehension instruction with shared reading: 40 model lessons for intermediate readers. Maupin House Pub., 2009.

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24

Myles, Gareth D. Imperfect competition with intermediate goods: A simulation analysis of a two-sector model. University of Warwick Department of Economics, 1990.

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25

Peltoniemi, Mirva. Business ecosystem: A conceptual model of an organisation population from the perspectives of complexity and evolution. Tampere University of Technology (TUT), 2005.

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26

O'Keefe, John C. A supply allocation and optimization model for the U.S. Marine Corps intermediate supply level. Naval Postgraduate School, 1992.

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27

Sylvia, Nagl, ed. The role of model integration in complex systems modelling: An example from cancer biology. Springer, 2010.

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28

Timothy, Jost Dean, ed. Model recommendations: Intermediate sanctions for enforcement of quality of care in nursing homes : a tentative draft. The Commission, 1994.

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29

Wilson, Alan. The Science of Cities and Regions: Lectures on Mathematical Model Design. Springer Netherlands, 2012.

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30

Mallo, Javier. Team Sports Training: The Complexity Model. Taylor & Francis Group, 2020.

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31

Mallo, Javier. Team Sports Training: The Complexity Model. Taylor & Francis Group, 2022.

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32

Stability and complexity in model ecosystems. Princeton University Press, 2001.

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33

May, Robert M. Stability and Complexity in Model Ecosystems. Princeton University Press, 2019.

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34

Mallo, Javier. Team Sports Training: The Complexity Model. Taylor & Francis Group, 2020.

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35

Mallo, Javier. Team Sports Training: The Complexity Model. Taylor & Francis Group, 2020.

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36

Levin, Ginger, and J. LeRoy Ward. Program Management Complexity: A Competency Model. Auerbach Publishers, Incorporated, 2016.

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37

Model-driven object recognition: Complexity issues. National Library of Canada = Bibliothèque nationale du Canada, 1993.

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38

Mallo, Javier. Team Sports Training: The Complexity Model. Taylor & Francis Group, 2020.

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39

Team Sports Training: The Complexity Model. Taylor & Francis Group, 2020.

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40

Drury, Dennis, Steve Spence, Tom Ward, Joanna Opaskar, and David Bradt. Arduino Intermediate Model Railroad Projects. Independently Published, 2019.

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41

Catanach. Business Activity Model for Intermediate Accounting. Mcgraw-Hill College, 2000.

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42

Alexander N. Gorban,Dirk Roose. Coping with Complexity: Model Reduction and Data Analysis. Springer, 2010.

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43

National Aeronautics and Space Administration (NASA) Staff. Design of Low Complexity Model Reference Adaptive Controllers. Independently Published, 2019.

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44

Gorban, Alexander N., and Dirk Roose. Coping with Complexity: Model Reduction and Data Analysis. Springer London, Limited, 2012.

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45

Urban, Karsten, Peter Benner, Mario Ohlberger, Gianluigi Rozza, and Anthony Patera. Model Reduction of Parametrized Systems. Springer, 2017.

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46

Urban, Karsten, Peter Benner, Mario Ohlberger, Gianluigi Rozza, and Anthony Patera. Model Reduction of Parametrized Systems. Springer, 2018.

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47

Arnold, Jeanne E. Emergent Complexity: The Evolution of Intermediate Societies (Archaeological Series, 9). International Monographs in Prehistory, 1996.

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48

Smalskys, Vainius, and Jolanta Urbanovič. Civil Service Systems. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.160.

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Abstract:

Civil service consists of civil servants and their activity when implementing the assigned functions and decisions made by politicians. In other words, it is a system of civil servants who perform the assigned functions of public administration. The corpus of civil servants consists of people who work in central and local public administration institutions. The concept and scope of civil service in a particular country depends on the legal framework that defines the areas of public and private sectors and their relationship. In many countries, civil service consists of an upper level, a mid-level, and civil servants who work for coordinating, independent, and auxiliary institutions. However, the scope of civil service in different countries varies. When analyzing/comparing civil service systems of different countries, researchers often categorize them as Western European, continental European, Anglo-American, Anglo-Saxon, Eastern European, Scandinavian, Mediterranean, Asian, or African.All European Union member states can be classified into two groups: the career system—dominant in continental Europe, with the prevalence of traditional-hierarchical public administration, rational bureaucracy, and formalized operational rules—and the position system—dominant in Anglo-Saxon countries, with the prevalence of managerial principles, pragmatic administration, and charismatic leadership. Neither of the two models exists in pure form. If features of the career model dominate in the civil service of a country, it is identified as a country with the career CS model; if elements of the position model dominate the country is identified as a country with the position civil service model. An intermediate version of this model, characteristic of a number of countries, is the mixed/hybrid model.Many civil service researchers claim that in the case of two competing systems of civil service—closed (the career model) and open (the position model)—reforms of the open civil service system win. It has been argued that the organizing principles of the open, result-oriented civil service system (the position model), which is under the influence of “new public management,” will permanently “drive out” the closed, vertically integrated and formal procedure-oriented career model. Scholars argue that civil servants of the future will have to be at ease with more complexity and flexibility. They will have to be comfortable with change, often rapid change. At the same time, they will make more autonomous decisions and be more responsible, accountable, performance-oriented, and subject to new competency and skill requirements.

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49

Willcox, Karen, Peter Benner, Albert Cohen, and Mario Ohlberger. Model Reduction and Approximation: Theory and Algorithms. Society for Industrial and Applied Mathematics, 2017.

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50

Otto, Martin. Bounded Variable Logics and Counting: A Study in Finite Models. Cambridge University Press, 2017.

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