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1

Yamashita, Seigo, and Wynn R. Walker. "Command Area Water Demands. II: Water‐Demand Function." Journal of Irrigation and Drainage Engineering 120, no. 6 (1994): 1043–55. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:6(1043).

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2

Alkhalifa, Abdallah Ahmed. "Transforming demand function to linear function." International Journal of Statistics and Applied Mathematics 6, no. 2 (2021): 31–36. http://dx.doi.org/10.22271/maths.2021.v6.i2a.661.

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3

Prasetyo, Angga Aryanto. "Pengaruh Fungsi Permintaan dan Penawaran Terhadap Keseimbangan Pasar." RESWARA; Jurnal Riset Ilmu Teknik 1, no. 1 (2023): 1–8. http://dx.doi.org/10.62238/reswara;jurnalrisetilmuteknik.v1i1.17.

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Abstract
 Linear functions are a material in economic mathematics that is often used in solving economic problems. In economic mathematics, linear functions are used as demand functions and supply functions. The aim of this research is to determine the effect of the demand function and supply function on market balance. The method used in this research is literature study. The results obtained are: (1) Market balance occurs when the supply function is the same as the demand function (2) The demand function and supply function are very influential in determining market balance. When you wa
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4

Lin, Tachun, Zhili Zhou, Massimo Tornatore, and Biswanath Mukherjee. "Demand-Aware Network Function Placement." Journal of Lightwave Technology 34, no. 11 (2016): 2590–600. http://dx.doi.org/10.1109/jlt.2016.2535401.

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5

Morita, Yoji, Md Jahanur Rahman, and Shigeyoshi Miyagawa. "Estimation of Precautionary Demand Function." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2007 (May 5, 2007): 19–22. http://dx.doi.org/10.5687/sss.2007.19.

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6

HAMBURGER, MICHAEL J. "A STABLE MONEY DEMAND FUNCTION." Contemporary Economic Policy 5, no. 1 (1987): 34–40. http://dx.doi.org/10.1111/j.1465-7287.1987.tb00242.x.

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7

Çulha, Olcay Yücel, Okan Eren, and Ferya Öğünç. "Import demand function for Turkey." Central Bank Review 19, no. 1 (2019): 9–19. http://dx.doi.org/10.1016/j.cbrev.2019.03.001.

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8

SOON, WANMEI, GONGYUN ZHAO, and JIEPING ZHANG. "Complementarity demand functions and pricing models for multi-product markets." European Journal of Applied Mathematics 20, no. 5 (2009): 399–430. http://dx.doi.org/10.1017/s0956792509007918.

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In contrast to single-product pricing models, multi-product pricing models have been much less studied because of the complexity of multi-product demand functions. It is highly non-trivial to construct a multi-product demand function on the entire set of non-negative prices, not to mention approximating the real market demands to a desirable accuracy. Thus, many decision makers use incomplete demand functions which are defined only on a restricted domain, e.g. the set where all components of demand functions are non-negative. In the first part of this paper, we demonstrate the necessity of def
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9

Griesbach, Svenja M., Martin Hoefer, Max Klimm, and Tim Koglin. "Information Design for Congestion Games with Unknown Demand." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (2024): 9722–30. http://dx.doi.org/10.1609/aaai.v38i9.28830.

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We study a novel approach to information design in the standard traffic model of network congestion games. It captures the natural condition that the demand is unknown to the users of the network. A principal (e.g., a mobility service) commits to a signaling strategy, observes the realized demand and sends a (public) signal to agents (i.e., users of the network). Based on the induced belief about the demand, the users then form an equilibrium. We consider the algorithmic goal of the principal: Compute a signaling scheme that minimizes the expected total cost of the induced equilibrium. We conc
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10

Paris, Quirino. "Certezze e novitŕ in economia della produzione." QA Rivista dell'Associazione Rossi-Doria, no. 3 (August 2009): 7–22. http://dx.doi.org/10.3280/qu2009-003001.

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- Michele De Benedictis has for some time taken an interest in behavioral models for agricultural entrepreneurs. Often, such models are specified by means of a production function and a cost function with the associated derived demands for inputs. In order to make such models operational in a given empirical setting, the approach in the traditional literature has been to estimate either the production function and the associated first order conditions or the system of derived demand functions for inputs. This paper proposes an encompassing approach which consists in the joint estimation of the
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11

Adam, A., M. Katsimi, and T. Moutos. "Inequality and the import demand function." Oxford Economic Papers 64, no. 4 (2011): 675–701. http://dx.doi.org/10.1093/oep/gpr050.

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12

Sumner, Michael. "Leakages from the money demand function." Applied Economics 23, no. 3 (1991): 531–34. http://dx.doi.org/10.1080/00036849100000029.

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13

Harb, Nasri, and Mohammed Nur Hussain. "Money demand function in SAARC countries." International Journal of Economics and Business Research 7, no. 4 (2014): 444. http://dx.doi.org/10.1504/ijebr.2014.062907.

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14

Tramontana, Fabio. "Heterogeneous duopoly with isoelastic demand function." Economic Modelling 27, no. 1 (2010): 350–57. http://dx.doi.org/10.1016/j.econmod.2009.09.014.

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15

Lee, Seung-gil. "Analyzing the demand function and potential demand determinants for fair travel." International Journal of Tourism and Hospitality Research 30, no. 3 (2016): 51. http://dx.doi.org/10.21298/ijthr.2016.03.30.3.51.

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16

Lewbel, Arthur. "Demand Systems With and Without Errors." American Economic Review 91, no. 3 (2001): 611–18. http://dx.doi.org/10.1257/aer.91.3.611.

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Revealed preference theory assumes that each consumer has demands that are rational, meaning that they arise from the maximization of his or her own utility function. In contrast, econometric or statistical demand models assume that each consumer's demands equal a rational systematic component derived from a common utility function, plus an individual-specific, additive error term. This paper reconciles these differences, by providing necessary and sufficient conditions for rationality of statistical demand models given individual consumer rationality. (JEL D11, D12, C30, C43)
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17

Leong, Lee Vien, and Kwang Yew Tan. "Volume-Delay Function in Trip Assignment." Applied Mechanics and Materials 802 (October 2015): 351–56. http://dx.doi.org/10.4028/www.scientific.net/amm.802.351.

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Four-stage demand models are the most popular travel demand forecasting models. Trip assignment which is the last stage in the four-stage demand modelling is a key element in travel demand forecasting process. Traffic assignment model is used to assign travel demands into the road network and predict network flows that are associated with future planning scenarios based on the estimates of link travel times. In order to calculate travel time between origin and destination, a function presenting the relationship between link delays and link flows is used. This function is known as Volume-Delay
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18

Bhatta, Siddha Raj. "Stability of Money Demand Function in Nepal." Banking Journal 3, no. 1 (2013): 1–27. http://dx.doi.org/10.3126/bj.v3i1.7508.

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This paper examines the long-run stability issue of money demand function in Nepal using the annual data set of 1975-2009 by using the recently developed ARDL modelling to cointegration popularized by Pesaran and Shin (1999). The bounds test shows that there exists the long-run cointegrating relationship among demand for real money balances, real GDP, and interest rate in case of both narrow and broad monetary aggregates. Further, the CUSUM and CUSUMSQ test reveal that both the long-run narrow and broad money demand functions are stable. The results show that demand for money balance in Nepal
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19

Sakashila, Noboru. "PRODUCTION FUNCTION, DEMAND FUNCTION AND LOCATION THEORY OF THE FIHM." Papers in Regional Science 20, no. 1 (2005): 109–22. http://dx.doi.org/10.1111/j.1435-5597.1968.tb01392.x.

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20

Washizu, Ayu, Satoshi Nakano, Hideo Ishii, and Yasuhiro Hayashi. "Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo." Sustainability 11, no. 17 (2019): 4790. http://dx.doi.org/10.3390/su11174790.

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This study evaluates the acceptability of home energy management systems (HEMS) in New York and Tokyo using a questionnaire survey. We investigated three basic functions of HEMS: money saving, automatic control, and environmental impact, and then quantified people’s propensity to accept each of these three functions by measuring their willingness to pay. Using the willingness to pay results, we estimated the demand probability under a given usage price for each of the three functions of home energy management systems and analyzed how socio-economic and demographic factors influence the demand
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21

Hirose, Kei, Keigo Wada, Maiya Hori, and Rin-ichiro Taniguchi. "Event Effects Estimation on Electricity Demand Forecasting." Energies 13, no. 21 (2020): 5839. http://dx.doi.org/10.3390/en13215839.

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We consider the problem of short-term electricity demand forecasting in a small-scale area. Electric power usage depends heavily on irregular daily events. Event information must be incorporated into the forecasting model to obtain high forecast accuracy. The electricity fluctuation due to daily events is considered to be a basis function of time period in a regression model. We present several basis functions that extract the characteristics of the event effect. When the basis function cannot be specified, we employ the fused lasso for automatic construction of the basis function. With the fu
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22

MITOMO, Hitoshi, and Koshiro OTA. "Telecommunications Demand Function and the Optimal Pricing Schedule Based on Demand Externalities." Studies in Regional Science 24, no. 1 (1993): 99–115. http://dx.doi.org/10.2457/srs.24.99.

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23

Lee, Kwang-Ho, and Kwan-mo Yang. "Social Welfare Analysis of Demand Response from the Viewpoint of Demand Function." Transactions of The Korean Institute of Electrical Engineers 66, no. 1 (2017): 23–26. http://dx.doi.org/10.5370/kiee.2017.66.1.23.

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24

Baggiyalakshmi, S. Anusuya, and M. Maragatham. "An EPQ Model with Varying Demand for Uncertain Quality Products." Indian Journal Of Science And Technology 17, no. 40 (2024): 4221–24. http://dx.doi.org/10.17485/ijst/v17i40.2923.

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Objectives: This article delves into a production inventory model centered on non-deteriorating items amidst fluctuating demand. Methods: To minimize the total cost using the sine function as a demand function. Findings: In the manufacturing process, there's a chance of product damage, resulting in the final products being either flawless or flawed. Quality assessments occur during production to distinguish the flawless ones for immediate sale, while the flawed ones are marked down for later sale. “In this article, we use a sine function for demand which will increase first, and after a certai
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25

Baule, Rainer, and Philip Blonski. "The Demand Function for Bank-Issued Warrants." Applied Finance Letters 4, no. 1and2 (2015): 12. http://dx.doi.org/10.24135/afl.v4i1and2.28.

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Bank-issued warrants are securitized options which are particularly designed to give smaller individual investors the opportunity to participate in the derivative markets. As banks incorporate potentially different margins on top of the theoretical fair values of the products, investors face the problem of choosing an optimal product. While previous literature has characterized individual investors as “noise traders”, this paper finds that they do act pricesensitively. In particular, we provide evidence that demand decreases with increasing margins, but also show that larger investors still re
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26

Tumturk, Oguz. "Stability of Money Demand Function in Turkey." Business and Economics Research Journal 8, no. 1 (2017): 35–48. http://dx.doi.org/10.20409/berj.2017126243.

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27

Prasetyo, Agung, and Ratya Anindita. "Import Demand Function of Rice in Indonesia." HABITAT 27, no. 1 (2016): 1–6. http://dx.doi.org/10.21776/ub.habitat.2016.027.1.1.

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28

Lee, Suk-Tae, Seul-Ye Lim, and Seung-Hoon Yoo. "Estimation of industrial natural gas demand function." Innovation studies 12, no. 4 (2017): 25–40. http://dx.doi.org/10.46251/innos.2017.11.12.4.25.

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29

Cheong Tang, Tuck. "Money demand function for Southeast Asian countries." Journal of Economic Studies 34, no. 6 (2007): 476–96. http://dx.doi.org/10.1108/01443580710830952.

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30

Omotor, Douglason. "An Aggregate Import Demand Function for Nigeria." Economic Research-Ekonomska Istraživanja 23, no. 1 (2010): 1–13. http://dx.doi.org/10.1080/1331677x.2010.11517397.

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31

Harb *, Nasri. "Money demand function: a heterogeneous panel application." Applied Economics Letters 11, no. 9 (2004): 551–55. http://dx.doi.org/10.1080/1350485042000225739.

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32

Elyasiani, Elyas, and Hadi Movaghari. "Money demand function with time-varying coefficients." Quarterly Review of Economics and Finance 98 (December 2024): 101914. http://dx.doi.org/10.1016/j.qref.2024.101914.

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33

Raouf, Mariam. "Estimation of Export Demand function in Egypt." المجلة المصرية للتنمية والتخطيط 32, no. 2 (2024): 119–01. http://dx.doi.org/10.21608/inp.2024.210302.1049.

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34

Leventakis, John A., and Sophocles N. Brissimis. "INSTABILITY OF THE U.S. MONEY DEMAND FUNCTION." Journal of Economic Surveys 5, no. 2 (1991): 131–61. http://dx.doi.org/10.1111/j.1467-6419.1991.tb00130.x.

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35

Li, Na, Lijun Chen, and Munther A. Dahleh. "Demand Response Using Linear Supply Function Bidding." IEEE Transactions on Smart Grid 6, no. 4 (2015): 1827–38. http://dx.doi.org/10.1109/tsg.2015.2410131.

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36

Sarkar, Amal. "Structural Stability of India's Export Demand Function." Foreign Trade Review 41, no. 3 (2006): 52–69. http://dx.doi.org/10.1177/0015732515060303.

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37

Katsimi, Margarita, and Thomas Moutos. "Inequality and the US import demand function." Journal of International Money and Finance 30, no. 3 (2011): 492–506. http://dx.doi.org/10.1016/j.jimonfin.2011.01.012.

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38

Tramontana, Fabio, and Abd Elalim Abdo Elsadany. "Heterogeneous triopoly game with isoelastic demand function." Nonlinear Dynamics 68, no. 1-2 (2011): 187–93. http://dx.doi.org/10.1007/s11071-011-0215-z.

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39

Okuguchi, Koji, and Ferenc Szidarovszky. "CHANGES IN DEMAND FUNCTION IN COURNOT OLIGOPOLY." Pacific Economic Review 10, no. 3 (2005): 371–78. http://dx.doi.org/10.1111/j.1468-0106.2005.00279.x.

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40

Cavalli, Fausto, and Ahmad Naimzada. "Monopoly models with time-varying demand function." Communications in Nonlinear Science and Numerical Simulation 58 (May 2018): 15–35. http://dx.doi.org/10.1016/j.cnsns.2017.06.022.

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41

Sinha, Dipendra, and Tapen Sinha. "An aggregate import demand function for greece." Atlantic Economic Journal 28, no. 2 (2000): 196–209. http://dx.doi.org/10.1007/bf02298361.

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42

Sinha, Dipendra. "An aggregate import demand function for Pakistan." Atlantic Economic Journal 25, no. 1 (1997): 114. http://dx.doi.org/10.1007/bf02298482.

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43

Shim, Ki R. "A simple demand function for higher education." Atlantic Economic Journal 18, no. 4 (1990): 79. http://dx.doi.org/10.1007/bf02299025.

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44

Agiomirgianakis, George, Georgios Bertsatos, and Nicholas Tsounis. "Asymmetric responses in the tourism demand function." Journal of Economic Asymmetries 18 (November 2018): e00103. http://dx.doi.org/10.1016/j.jeca.2018.e00103.

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45

Scholz, Michael. "Estimating demand function parameters of mobile applications." Economics of Innovation and New Technology 26, no. 7 (2016): 621–33. http://dx.doi.org/10.1080/10438599.2017.1263444.

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46

Wang, Yi-Hsien, and Jun-De Lee. "Estimating the import demand function for China." Economic Modelling 29, no. 6 (2012): 2591–96. http://dx.doi.org/10.1016/j.econmod.2012.08.002.

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47

Naimzada, Ahmad, and Giorgio Ricchiuti. "Monopoly with local knowledge of demand function." Economic Modelling 28, no. 1-2 (2011): 299–307. http://dx.doi.org/10.1016/j.econmod.2010.08.020.

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48

Bae, Youngsoo, and Robert M. de Jong. "Money demand function estimation by nonlinear cointegration." Journal of Applied Econometrics 22, no. 4 (2007): 767–93. http://dx.doi.org/10.1002/jae.915.

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49

Elhamalawy, Fatma. "Estimating of Import Demand Function in Egypt." المجلة المصرية للتنمية والتخطيط 32, no. 1 (2024): 114–87. http://dx.doi.org/10.21608/inp.2024.350411.

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50

Hu, Chenglin, Junsong Bian, Daozhi Zhao, Longfei He, and Fangqi Dong. "Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands." Mathematics 12, no. 17 (2024): 2669. http://dx.doi.org/10.3390/math12172669.

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This paper focuses on joint production/inventory optimization in single and multiple horizons, respectively, within a complicated supply network (CSN) consisting of firm nodes with coupled demands and firm nodes with coupled demands. We first formulate the single-epoch joint optimal output model by allowing the production of extra quantity for stock underage, considering the fixed costs incurred by having inventory over demand and shortfalls. Then, the multi-temporal dynamic joint production model is further investigated to deal with stochastic demand fluctuations among CSN nodes by constructi
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