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Books on the topic 'Dynamic change models'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Jeffers, J. N. R. Practitioners handbook on the modelling of dynamic change in ecosystems. Chichester: Published on behalf of the Scientific Committee on Problems of the Environment (SCOPE) of the International Council of Scientific Unions (ICSU) by Wiley, 1988.

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2

Gemmell, Norman. Dynamic sectoral linkages and structural change in a developing economy. Nottingham: University of Nottingham, Centre for Research in Economic Development and International Trade, 1998.

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3

Geert, Paul van. Dynamic systems of development: Change between complexity and chaos. New York: Harvester Wheatsheaf, 1994.

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4

Jeffers, J. N. R. Practitioner's handbook on the modelling of dynamic change in ecosystems. Chichester [West Sussex]: Published on behalf of the Scientific Committee on Problems of the Environment of the International Council of Scientific Unions by Wiley, 1988.

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5

Aulin-Ahmavaara, Pirkko. A dynamic input-output model with non-homogeneous labour for evaluation of technical change. Helsinki: Suomalainen Tiedeakatemia, 1987.

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6

Becker, Torbjörn. Common trends and structural change: A dynamic macro model for the pre- and postrevolution Islamic Republic of Iran. [Washington, D.C.]: International Monetary Fund, Research Department, 1999.

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7

Canada. Minerals and Metals Sector. Economic impact of carbon abatement policies and market structure: A dynamic general equilibrium analysis with imperfect competition. Ottawa: Industry Canada, 2001.

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8

Ulrike, Jessner, ed. A dynamic model of multilingualism: Perspectives of change in psycholinguistics. Clevedon, England: Multilingual Matters, 2002.

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9

Baily, Martin Neil. Labor productivity: Structural change and cyclical dynamics. Cambridge, MA: National Bureau of Economic Research, 1996.

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10

Hlinka, Anton. Každý sa môže zmeniť: Dynamické modely spravania. Bratislava: Don Bosco, 1994.

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11

Christoffersen, Peter F. Financial asset returns, direction-of-change forecasting, and volatility dynamics. Cambridge, Mass: National Bureau of Economic Research, 2003.

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12

Agarwal, Vijay K. A statistical-dynamic climate model with explicit radiative and cloud forcing. Bangalore: Indian Space Research Organisation, 1992.

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13

Vadimovich, Gruza Georgiĭ, ред. Klimaticheskai͡a︡ izmenchivostʹ: Stokhasticheskie modeli, predskazuemostʹ, spektry. Moskva: "Nauka", 1985.

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14

Serven, Luis. Anticipated real exchange-rate changes and the dynamics of investment. Washington, DC (1818 H St., NW, Washington 20433): Macroeconomic Adjustment and Growth, Country Economics Dept., World Bank, 1990.

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15

Aulin-Ahmavaara, Pirkko. A dynamic input-output model with non-homogenous labour for evaluation of technical change. Helsinki: Suomalainen Tiedeakatemia, 1987.

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16

Lentz, Sebastian, and Otti Margraf. Quantitative Methoden und geographische Landschaftsforschung: Ergebnisse zur Moedellierung von Landschaftselementen. Mannheim: Im Selbstverlag des Geographischen Instituts der Universität Mannheim, 1999.

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17

Eleveld, Marieke A. Exploring coastal morphodynamics of Ameland (the Netherlands) with remote sensing monitoring techniques and dynamic modelling in GIS. [Enschede, the Netherlands: ITC, 1999.

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18

Nünning, Ansgar, Michael Basseler, Christine Schwanecke, and Elizabeth Kovach. The cultural dynamics of generic change in contemporary fiction: Theoretical frameworks, genres, and model interpretations. Trier: WVT, Wissenschaftlicher Verlag Trier, 2013.

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19

Baanante, Carlos A. A dynamic model to forecast and evaluate changes and trends in the global market for fertilizers. Muscle Shoals, AL: IFDC, 2010.

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20

Dynamical cognitive science. Cambridge, Mass: MIT Press, 2002.

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21

April, Fallon, and American Psychological Association, eds. Group development in practice: Guidance for clinicians and researchers on stages and dynamics of change. Washington, DC: American Psychological Association, 2009.

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22

Blanchard, Olivier. An empirical characterization of the dynamic effects of changes in government spending and taxes on output. Cambridge, MA: National Bureau of Economic Research, 1999.

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23

Smolensky, Eugene. An application of a dynamic cost-of-living index to the evaluation of changes in social welfare. [Madison]: University of Wisconsin-Madison, 1986.

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24

Naevdal, Eric. Dynamic optimisation in the presence of threshold effects when the location of the threshold is uncertain: With an application to a possible disintegration of the Western Antarctic ice sheet. [Princeton, NJ]: Woodrow Wilson School of Public and International Affairs, 2003.

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25

Campbell, Jeffrey R. Organizational flexibility and employment dynamics at young and old plants. Cambridge, MA: National Bureau of Economic Research, 1998.

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26

Meade, Douglas S., ed. In Quest of the Craft. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-820-0.

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INFORUM is a research project started more than forty five years ago by Clopper Almon. The focus is on the development of dynamic, interindustry, macroeconometric models to forecast the economy in the long run. Over the last 30 years, the Inforum approach to model building has been shared by economists in many different countries. Researchers have focused much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use similar methods and a common software obtaining comparable results to pro

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27

Mishchenko, Aleksandr, and Elena Miheeva. Methods of assessment of efficiency of management of production and financial activity of the enterprise. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/monography_5d1ae60d82d6d9.87533425.

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The proposed book describes the static and dynamic models of optimization of production and financial activities of the enterprise in the conditions of deterministic source data, and taking into account the uncertainty and risk. In the latter case, when choosing a management decision, not only the amount of expected profit, but also various types of risks, as well as such an indicator as the stability of the selected option of production and economic activity to changes in the market environment, are taken into account.

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28

Cogan, Susan M. Catholic Social Networks in Early Modern England. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463726948.

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Catholic Social Networks in Early Modern England: Kinship, Gender, and Coexistence explores the lived experience of Catholic women and men in the post-Reformation century. Set against the background of the gendered dynamics of English society, this book demonstrates that English Catholics were potent forces in the shaping of English culture, religious policy, and the emerging nation-state. Drawing on kinship and social relationships rooted in the medieval period, post Reformation English Catholic women and men used kinship, social networks, gendered strategies, political actions, and cultural

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29

Jaspin, Michael D. Dynamic pollution regulation with endogenous technological change. 1996.

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30

Barzilay, Shira, and Abbie Cohen. Psychological Models of Suicide. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0002.

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A comprehensive model of suicidal processes and behavior is essential for the assessment of imminent risk for suicide and for the design of informed interventions. This chapter provides descriptions of the three generations of the most influential theories of suicidal behavior as well as an assessment of their strengths and limitations. First-generation models were based on clinicians’ individual experiences and, more recently, on consensus opinion and clinical judgment. Second-generation prognostic models hypothesized that suicide risk was determined by measurable long-term biological, clinic

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31

Bui, Ngoc Son. Constitutional Change in the Contemporary Socialist World. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198851349.001.0001.

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This book explores and explains how and why the five current socialist countries (China, Cuba, Laos, North Korea, and Vietnam) have changed their constitutions since the fall of the Cold War and the rise of globalization. It demonstrates that constitution-making, replacement, and amendment in the contemporary socialist world display the dynamic constitution, party institutionalization, power distribution, rights universalization, and economic marketization. The function of this progressive constitutional change is to facilitate the active role of the party-state in improving the living conditi

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32

Wing, Ian Sue, and Edward J. Balistreri. Computable General Equilibrium Models for Policy Evaluation and Economic Consequence Analysis. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.7.

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This chapter reviews recent applications of computable general equilibrium (CGE) modeling in the analysis and evaluation of policies that affect interactions among multiple markets. At the core of this research is a particular approach to the data and structural representations of the economy, elaborated through the device of a canonical static multiregional model. This template is adapted and extended to shed light on the structural and methodological foundations of simulating dynamic economies, incorporating “bottom-up” representations of discrete production activities, and modeling contempo

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33

1943-, Solomon Allen M., and Shugart H. H, eds. Vegetation dynamics & global change. New York: Chapman & Hall, 1993.

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34

Solomon, Allen M. Vegetation Dynamics & Global Change. Springer, 2012.

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35

Solomon, Allen M., and Herman H. Shugart. Vegetation Dynamics And Global Change. Springer, 2007.

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36

Kiyoshi, Horikawa, ed. Nearshore dynamics and coastal processes: Theory, measurement, and predictive models. [Tokyo]: University of Tokyo Press, 1988.

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37

Empson, Laura. Leadership Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198744788.003.0003.

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This chapter explains in detail how leadership actually happens in a professional organization. The concept of plural leadership emphasizes that leadership is something that happens between people and is therefore co-constructed through interaction. This chapter develops a model of plural leadership dynamics, which emphasizes how leadership is fluid and unstable, changing and adapting as the relations between professionals change and adapt. Leadership dynamics in this context encompasses three microdynamics: ‘legitimizing’, ‘negotiating’, and ‘manoeuvring’. In other words, the model demonstrat

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38

Managing Change In It Outsourcing Towards A Dynamic Fit Model. Palgrave MacMillan, 2012.

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39

Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of t

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40

Snijders, Tom A. B., and Mark Pickup. Stochastic Actor Oriented Models for Network Dynamics. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.10.

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Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longitudinal network data collected as a panel. The probability model defines an unobserved stochastic process of tie changes, where social actors add new ties or drop existing ties in response to the current network structure; the panel observations are snapshots of the resulting changing network. The statistical analysis is based on computer simulations of this process, which provides a great deal of flexibility in representing data constraints and dependence structures. In this Chapter we begin by

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41

Postma, Gertjan. Modelling transient states in language change. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198747840.003.0006.

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Models of language change may include, apart from the initial and terminal state, an intermediate state T. Building further on Postma (2010), who observed that the dynamics of the transient state T (’failed change’) is algebraically related to the overall change A → B (the former is the first derivative of the latter), we present a generalized algebraic model that includes both the failed change A → B and the successful change A → B. We first generalize the two-state logistic function of A → B to a differential equation (DE) that represents the underlying processes. This DE has a bundle of tim

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42

Coonce, Vincent M. Dynamic simulation of drying and quality changes during malt kilning. 1992.

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43

Jessner, Ulrike, and Philip Herdina. A Dynamic Model of Multilingualism: Perspectives of Change in Psycholinguistics (Multilingual Matters). Multilingual Matters Limited, 2001.

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44

Schmid, Hans-Jörg. The Dynamics of the Linguistic System. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198814771.001.0001.

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This book develops a model of language which can be characterized as functionalist, usage-based, dynamic, and complex-adaptive. Its core idea is that linguistic structure is not stable and uniform, but continually refreshed and in fact reconstituted by the feedback-loop interaction of three components: usage, i.e. the interpersonal and cognitive activities of speakers in concrete communication; conventionalization, i.e. the social processes taking place in speech communities; and entrenchment, i.e. the cognitive processes taking place in the minds of individual speakers. Extending the so-calle

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45

Fund, International Monetary, ed. Bank lending and interest rate changes in a dynamic matching model. Washington, D.C: International Monetary Fund, 1998.

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46

Ferraro, Kenneth F. Multifaceted Change. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190665340.003.0004.

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Aging involves multiple related systems; change in one system influences other systems. Nathan Shock referred to aging as a dynamic equilibrium and argued that studying the interrelationships of multiple systems is essential for gerontology. A growing number of researchers study relations across systems, but many focus on syndromes of declining health or function, without much regard for alternative scenarios such as nonlinear change and compensatory mechanisms. The axiom of multifaceted change contends that viewing aging as a syndrome of decline oversimplifies the changes involved. Instead, g

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47

Führung gestaltet. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783748903611.

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The central question addressed in the generational debate at the Socio-Economics Conference 2019 was ‘What do I expect from modern management culture?’. Generational change, digitalisation and cultural change are not only putting socio-economics and health management companies to the test, but the working world in general is becoming more dynamic, traditional business models and structures are undergoing transformation processes and disruptive developments are replacing normal phases of renewal and regeneration. These conference transcripts highlight, among other things, innovative ways of thi

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48

Climate System Dynamics and Modelling. Cambridge University Press, 2015.

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49

Climate System Dynamics and Modelling. Cambridge University Press, 2015.

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50

Railsback, Steven F., and Bret C. Harvey. Modeling Populations of Adaptive Individuals. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691195285.001.0001.

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Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach t

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