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1

Holz, Michael, Klaus-Peter Podewski, and Karsten Steffens. Injective Choice Functions. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0072628.

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2

Asheim, Geir B. Infinite-horizon choice functions. Centre interuniversitaire de recherche en économie quantitative, 2006.

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3

Koray, Semih. Self-selective social choice functions. Centre interuniversitaire de recherche en économie quantitative, 2006.

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4

Abdou, J., and H. Keiding. Effectivity Functions in Social Choice. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3448-4.

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5

Abdou, J. Effectivity functions in social choice. Kluwer Academic, 1991.

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6

Garrod, Guy. The choice of functional form for hedonic house price functions. Countryside Change Unit, Dept. of Agricultural Economics & Food Marketing, University of Newcastle upon Tyne, 1991.

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7

López, Luis. Indefinite objects: Scrambling, choice functions, and differential marking. The MIT Press, 2012.

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8

López, Luis. Indefinite objects: Scrambling, choice functions, and differential marking. The MIT Press, 2012.

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9

Fujishige, Satoru. Dual greedy polyhedra, choice functions, and abstract convex geometries. Kyōto Daigaku Sūri Kaiseki Kenkyūjo, 2003.

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10

Drakopoulos, S. A. Choice theoretical foundations of union utility functions involving discontinuities. University of Aberdeen. Department of Economics, 1992.

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11

Borjas, George J. The sensitivity of labor demand functions to choice of dependent variable. University of Wisconsin-Madison, 1985.

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12

Heckman, James J. Using matching, instrumental variables and control functions to estimate economic choice models. National Bureau of Economic Research, 2003.

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13

Börsch-Supan, Axel. Econometric analysis of discrete choice: With applications on demand for housing in the U.S. and West-Germany. Springer-Verlag, 1987.

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14

Franco, Celada, Pernis Benvenuto, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. T Lymphocytes: Structure, functions, choices. Plenum Press, 1992.

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15

Fontaine, Lise, Tom Bartlett, and Gerard OGrady, eds. Systemic Functional Linguistics: Exploring Choice. Cambridge University Press, 2013. http://dx.doi.org/10.1017/cbo9781139583077.

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16

Gasperini, Chiara, and Tommaso Rafanelli. SIMdisaster. Firenze University Press, 2007. http://dx.doi.org/10.36253/978-88-8453-616-7.

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SIMdisaster is a simulation software conceived to respond to the training needs of health operators managing aid in maxi-emergencies, since the reproduction of such events for didactic purposes proves to be both complex and costly. SimDisaster reconstructs the scenario of a catastrophe using photos and films manipulated using computer graphics and integrated with three-dimensional objects generated by the computer. An interactive interface makes it possible to assess the scenario and hence take decisions about the logistics of aid operations, the choice of auto-protection techniques, triage intervention and maintenance of the principal vital functions. The scenario then evolves in real time depending on the choices made by the user.
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17

Laibson, David I. Estimating discount functions with consumption choices over the lifecycle. National Bureau of Economic Research, 2007.

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18

Laibson, David. Estimating discount functions with consumption choices over the lifecycle. National Bureau of Economic Research, 2007.

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19

Duffy, M. Advertising in consumer allocation models: Choice of functional form. Manchester School of Management, 1999.

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20

Zhukova, Galina, and Margarita Rushaylo. The mathematical analysis. Volume 1. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1072169.

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The aim of the tutorial is to help students to master the basic concepts and methods of the study of calculus. Volume 1 explores the following topics: theory of sets, theory of limits; differential calculus of functions of one variable; investigation of the properties of functions and graphing; integral calculus of functions of one real variable (indefinite, definite and improper integrals), the technique of integration; hyperbolic functions; applications to the analysis and solution of practical problems. These topics are studied in universities, as a rule, in the first semester in the framework of self-discipline "Mathematical analysis" or the course "Higher mathematics", "Mathematics".
 Great attention is paid to comparison of these methods, the proper choice of study design tasks, analyze complex situations that arise in the study of these branches of mathematical analysis.
 For teachers, students and postgraduate students studying mathematical analysis.
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21

Dervitz, Peggy. Preference, choice, decision: A model for limited guardianship. Guardianship Association of New Jersey, 2001.

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22

Zhukova, Galina, and Margarita Rushaylo. The mathematical analysis. Volume 2. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1072172.

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The aim of the tutorial is to help students to master the basic concepts and methods of the study of calculus. In volume 2 we study analytic geometry in space; differential calculus of functions of several variables; local, conditional, global extrema of functions of several variables; multiple, curvilinear and surface integrals; elements of field theory; numerical, power series, Taylor series and Maclaurin, and Fourier series; applications to the analysis and solution of applied problems. Great attention is paid to comparison of these methods, the proper choice of study design tasks, analyze complex situations that arise in the study of these branches of mathematical analysis.
 For self-training and quality control knowledge given test questions.
 For teachers, students and postgraduate students studying mathematical analysis.
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23

Kiefer, Nicholas M. Evaluating design choices in economic capital modeling: A loss function approach. Office of the Comptroller of the Currency, 2004.

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24

Jones, Susan Smith. Health bliss: 50 revitalizing naturefoods & lifestyle choices to promote vibrant health. Hay House, 2008.

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25

Howard, Fries Peter, Gregory Michael, and Halliday M. A. K, eds. Discourse in society: Systemic functional perspectives : meaning and choice in language : studies for Michael Halliday. Ablex, 1995.

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26

1957-, Castellano Bernardo, and Nieto-Sampedro Manuel 1944-, eds. Glial cell function. Elsevier, 2001.

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27

Wanda, Toro-Zambrana, and American Association on Mental Retardation., eds. Recognizing choices in community settings by people with significant disabilities. American Association on Mental Retardation, 1994.

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28

Poe, Gregory L. A convolutions approach to measuring the differences in simulated distributions: Application to dichotomous choice contingent valuation. Dept. of Agricultural Economics, New York State College of Agriculture and Life Sciences, Cornell University, 1993.

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29

Gurko, Aleksandr, and Tat'yana Sahnovich. Systematic research of economic objects. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2189088.

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The monograph presents the authors' view on the system analysis of economic objects. In accordance with the logic of systems research, the first part of the book examines an economic object: its consistency, functions, structure, external environment, management, and modeling methods. The second part is devoted to system analysis and evaluation, with special attention paid to solving the problem of choice in management. Approaches to assessing the quality and effectiveness of management decisions, modeling the manager's activities, and researching management adaptation problems are also considered. As an example of a systematic study, the methodology for creating and implementing a balanced system of performance indicators for an economic facility is considered in detail. It is intended for specialists in the field of system analysis, students studying in the field of Economics and Management.
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30

Fuzzy Choice Functions. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68998-0.

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31

Podewski, Klaus-Peter, Karsten Steffens, and Michael Holz. Injective Choice Functions. Springer London, Limited, 2006.

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32

Injective Choice Functions. Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1987.

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33

Effectivity Functions in Social Choice. Island Press, 1991.

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34

Abdou, J., and Hans Keiding. Effectivity Functions in Social Choice. Springer London, Limited, 2012.

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35

Abdou, J. Effectivity Functions in Social Choice. Springer, 2012.

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36

Georgescu, Irina. Fuzzy Choice Functions: A Revealed Preference Approach. Springer London, Limited, 2007.

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37

Georgescu, Irina. Fuzzy Choice Functions: A Revealed Preference Approach. Springer Berlin / Heidelberg, 2010.

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38

The Applications of Elliptic Functions - Scholar's Choice Edition. Scholar's Choice, 2015.

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39

Injective Choice Functions (Lecture Notes in Mathematics, Vol 1238). Springer, 1987.

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40

Weymark, John. Social Welfare Functions. Edited by Matthew D. Adler and Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.5.

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This chapter provides an introduction to the use of social welfare functions in welfare economics and social choice theory for the comparative evaluation of social alternatives. With a social welfare function, social preferences depend on individual well-beings. These well-beings are expressed in terms of either preferences or utilities. Three main approaches are considered: Bergson-Samuelson social welfare functions, Arrovian social welfare functions, and Sen’s social welfare functionals. How the measurability and comparability of utility can be modeled and how limitations on the types of utility comparisons that are possible restrict the kinds of social welfare functions that can be considered is also discussed. Extensive social choice theory is used to deal with heterogeneous opinions about how to make utility comparisons.
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41

Back, Kerry E. Portfolio Choice. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0002.

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The portfolio choice model is introduced, and the first‐order condition is derived. Properties of the demand for a single risky asset are derived from second‐order risk aversion and decreasing absolute risk aversion. Optimal investments are independent of initial wealth for investors with constant absolute risk aversion. Optimal investments are affine functions of initial wealth for investors iwth linear risk tolerance. The optimal portfolio for an investor with constant absolute risk aversion is derived when asset returns are normally distributed. Investors with quadratic utility have mean‐variance preferences, and investors have mean‐variance preferences when returns are elliptically distributed.
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42

Crigler, Ann N., and Parker R. Hevron. Affect and Political Choice. Edited by Kate Kenski and Kathleen Hall Jamieson. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199793471.013.66.

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Whether political observers and participants applaud or decry the presence of emotions in political decision-making, scholars have begun to view the relationship between affect and reason as a key component of decision-making. This chapter provides an overview of the research on affect and political choice. The authors argue that emotions undergird acts of political choice, not simply as additional variables to explain preferences or actions but also as integral to the processing of information and decision-making. They briefly define affect, emotion and mood and outline some of the methodologies commonly used to measure each of the four emotion functions that are central to political communication and choice. These four functions of emotion – expressive, perceptual/attentional, appraisal, and behavioral – are discussed in relation to political decision-making.
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43

Crigler, Ann N., and Parker R. Hevron. Affect and Political Choice. Edited by Kate Kenski and Kathleen Hall Jamieson. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199793471.013.66_update_001.

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Whether political observers and participants applaud or decry the presence of emotions in political decision-making, scholars have begun to view the relationship between affect and reason as a key component of decision-making. This chapter provides an overview of the research on affect and political choice. The authors argue that emotions undergird acts of political choice, not simply as additional variables to explain preferences or actions but also as integral to the processing of information and decision-making. They briefly define affect, emotion and mood and outline some of the methodologies commonly used to measure each of the four emotion functions that are central to political communication and choice. These four functions of emotion – expressive, perceptual/attentional, appraisal, and behavioral – are discussed in relation to political decision-making.
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44

Georgescu, Irina. Fuzzy Choice Functions: A Revealed Preference Approach (Studies in Fuzziness and Soft Computing). Springer, 2007.

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45

Back, Kerry E. Dynamic Portfolio Choice. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0009.

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The first‐order condition for optimal portfolio choice is called the Euler equation. Optimal consumption can be computed by a static approach in a dynamic complete market and by orthogonal projection for a quadratic utility investor. Dynamic programming and the Bellman equation are explained. The envelope condition and hedging demands are explained. Investors with CRRA utility have CRRA value functions. Whether the marginal value of wealth is higher for a CRRA investor in good states or in bad states depends on whether risk aversion is less than or greater than 1. With IID returns, the optimal portfolio for a CRRA investor is the same as the optimal portfolio in a single‐period model.
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46

Miller, Nicholas R. Social Choice Theory and Legislative Institutions. Oxford University Press, 2016. http://dx.doi.org/10.1093/acrefore/9780190228637.013.1.

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This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Politics. Please check back later for the full article.Narrowly understood, social choice theory is a specialized branch of applied logic and mathematics that analyzes abstract objects called preference aggregation functions, social welfare functions, and social choice functions. But more broadly, social choice theory identifies, analyzes, and evaluates rules that may be used to make collective decisions. So understood, social choice is a subfield of the social sciences that examines what may be called “voting rules” of various sorts. While social choice theory typically assumes a finite set of alternatives over which voter preferences are unrestricted, the spatial model of social choice assumes that policy alternatives can be represented by points in a space of one or more dimensions, and that voters have preferences that are plausibly shaped by this spatial structure.Social choice theory has considerable relevance for the study of legislative (as well as electoral) institutions. The concepts and tools of social choice theory make possible formal descriptions of legislative institutions such as bicameralism, parliamentary voting procedures, effects of decision rules (e.g., supramajority vs. simple majority rule and executive veto rules), sincere vs. strategic voting by legislators, agenda control, and other parliamentary maneuvers. Spatial models of social choice further enrich this analysis and raise additional questions regarding policy stability and change. Spatial models are used increasingly to guide empirical research on legislative institutions and processes.
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47

Studio, Mental, and Quirky Works. Pro-Choice : My Bodily Functions Are Not up for Discussion: An Lined Notebook for Speaking Your Truth. Independently Published, 2021.

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48

Daganzo, Carlos. Multinomial Probit: The Theory and Its Application to Demand Forecasting. Elsevier Science & Technology Books, 2014.

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49

Raslan, Ahmed, and Ashwin Viswanathan, eds. Functional Neurosurgery. Oxford University PressNew York, 2019. http://dx.doi.org/10.1093/med/9780190887629.001.0001.

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Abstract Functional neurosurgery by example is a concise text designed to provide neurosurgeons in training and early career neurosurgeons a deeper dive into the nuances of functional neurosurgery through carefully selected case examples. The overall structure and format of this book follows the structure and format of the series, which includes bulleted questions, pearls, pivot points and complications. The discussions reflect the thought process behind the management choice(s) presented for each case as well as the alternative choices with their pros and cons. The cases chosen encompass the breadth of functional neurosurgery and constitute the vast majority of likely cases to be encountered during practice of functional neurosurgery.
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50

MacNamara, Annmarie, and K. Luan Phan. Neurocircuitry of Affective, Cognitive, and Regulatory Systems. Edited by Christian Schmahl, K. Luan Phan, Robert O. Friedel, and Larry J. Siever. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199362318.003.0001.

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This chapter provides a review and synthesis of the neurocircuitry involved in affect and cognition and their interactions as it relates to regulatory functions. Cognition and emotion are considered together taking a more integrated, functional perspective. The chapter first gives an overview regarding structure and function of key brain regions, that is, prefrontal and cingulate regions, insula, and subcortical regions, as well as other temporal-parietal-occipital regions. Following this overview, the chapter proceeds with summarizing key neuroscientific findings as organized by cognitive processes and their relevance for emotion. The choice of processes reflects the key stages involved in responding to a stimulus, from the time of sensory input to behavioral response/output, namely perception, learning and memory central executive functions, cognitive appraisal, and reappraisal. The overall aim of the chapter is to provide a better understanding of cognitive-emotional interactions at the neurocircuit level.
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