Journal articles on the topic 'State-dependent management'

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1

Cheng, Huidong, Fang Wang, and Tongqian Zhang. "Multi-State Dependent Impulsive Control for Pest Management." Journal of Applied Mathematics 2012 (2012): 1–25. http://dx.doi.org/10.1155/2012/381503.

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According to the integrated pest management strategies, we propose a model for pest control which adopts different control methods at different thresholds. By using differential equation geometry theory and the method of successor functions, we prove the existence of order one periodic solution of such system, and further, the attractiveness of the order one periodic solution by sequence convergence rules and qualitative analysis. Numerical simulations are carried out to illustrate the feasibility of our main results. Our results show that our method used in this paper is more efficient and easier than the existing ones for proving the existence of order one periodic solution.
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2

Regnier, J., and W. H. Cameron. "State-dependent dynamic traffic management for telephone networks." IEEE Communications Magazine 28, no. 10 (October 1990): 42–53. http://dx.doi.org/10.1109/35.60366.

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3

Lindsey, Robin. "State-dependent congestion pricing with reference-dependent preferences." Transportation Research Part B: Methodological 45, no. 10 (December 2011): 1501–26. http://dx.doi.org/10.1016/j.trb.2011.06.003.

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4

Schervish, Mark J., Teddy Seidenfeld, and Joseph B. Kadane. "Shared Preferences and State-Dependent Utilities." Management Science 37, no. 12 (December 1991): 1575–89. http://dx.doi.org/10.1287/mnsc.37.12.1575.

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5

Clarke, Roger G., and Harindra de Silva. "State-Dependent Asset Allocation." Journal of Portfolio Management 24, no. 2 (January 31, 1998): 57–64. http://dx.doi.org/10.3905/jpm.24.2.57.

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6

Liu, Ningzhe. "A Pest Management Model with Multi-State Dependent Impulse." Journal of Applied Mathematics and Physics 10, no. 04 (2022): 1335–51. http://dx.doi.org/10.4236/jamp.2022.104094.

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7

Dubé, Jean-Pierre, Günter J. Hitsch, Peter E. Rossi, and Maria Ana Vitorino. "Category Pricing with State-Dependent Utility." Marketing Science 27, no. 3 (May 2008): 417–29. http://dx.doi.org/10.1287/mksc.1070.0305.

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8

Wakker, Peter P., and Horst Zank. "State Dependent Expected Utility for Savage's State Space." Mathematics of Operations Research 24, no. 1 (February 1999): 8–34. http://dx.doi.org/10.1287/moor.24.1.8.

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9

Zhang, Yan, Yonghong Wu, Shuang Li, and Benchawan Wiwatanapataphee. "Mean-Variance Asset Liability Management with State-Dependent Risk Aversion." North American Actuarial Journal 21, no. 1 (January 2, 2017): 87–106. http://dx.doi.org/10.1080/10920277.2016.1247719.

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10

De Giorgi, Enrico G., and Thierry Post. "Loss Aversion with a State-Dependent Reference Point." Management Science 57, no. 6 (June 2011): 1094–110. http://dx.doi.org/10.1287/mnsc.1110.1338.

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11

Chen *, J. C., C. W. Chen, C. Y. Tai, and J. C. Tyan. "Dynamic state-dependent dispatching for wafer fabrication." International Journal of Production Research 42, no. 21 (November 2004): 4547–62. http://dx.doi.org/10.1080/00207540410001721736.

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12

Guan, Bo, Emmanuel Sirimal Silva, Hossein Hassani, and Saeed Heravi. "Forecasting tourism growth with State-Dependent Models." Annals of Tourism Research 94 (May 2022): 103385. http://dx.doi.org/10.1016/j.annals.2022.103385.

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13

Kaspi, Haya, Offer Kella, and David Perry. "Dam processes with state dependent batch sizes and intermittent production processes with state dependent rates." Queueing Systems 24, no. 1-4 (March 1996): 37–57. http://dx.doi.org/10.1007/bf01149079.

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14

Sharaiha, Yazid M., and Kristoffer Kittilsen Johansson. "The state-dependent time variation in the value premium." Journal of Asset Management 15, no. 2 (April 2014): 150–61. http://dx.doi.org/10.1057/jam.2014.16.

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15

Tembine, Hamidou. "A mean field stochastic game for battery state-dependent power management." IFAC Proceedings Volumes 44, no. 1 (January 2011): 4839–44. http://dx.doi.org/10.3182/20110828-6-it-1002.01228.

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16

Bernard, Carole, Mary Hardy, and Anne Mackay. "STATE-DEPENDENT FEES FOR VARIABLE ANNUITY GUARANTEES." ASTIN Bulletin 44, no. 3 (May 19, 2014): 559–85. http://dx.doi.org/10.1017/asb.2014.13.

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AbstractFor variable annuity policies, management fees for the most basic guarantees are charged at a constant rate throughout the term of the policy. This creates a misalignment of risk and income – the fee income is low when the option value is high, and vice versa. In turn, this may create adverse incentives for policyholders, for example, encouraging surrenders when the options are far out-of-the-money.In this paper, we explore a new fee structure for variable annuities, where the fee rate supporting the cost of guarantees depends on the moneyness of those guarantees. We derive formulas for calculating the fee rates assuming fees are paid only when the guarantees are in-the-money, or are close to being in-the-money, and we illustrate with some numerical examples. We investigate the effect of this new fee structure on the surrender decision.
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17

Berman, Oded, and David Perry. "An EOQ model with state-dependent demand rate." European Journal of Operational Research 171, no. 1 (May 2006): 255–72. http://dx.doi.org/10.1016/j.ejor.2004.08.035.

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18

NEILSON, WILLIAM S. "OPTIMAL PUNISHMENT SCHEMES WITH STATE-DEPENDENT PREFERENCES." Economic Inquiry 36, no. 2 (April 1998): 266–71. http://dx.doi.org/10.1111/j.1465-7295.1998.tb01712.x.

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19

Briys, Eric, and Harris Schlesinger. "Optimal hedging when preferences are state dependent." Journal of Futures Markets 13, no. 5 (August 1993): 441–51. http://dx.doi.org/10.1002/fut.3990130502.

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20

Zhang, D., P. L. Yu, and P. Z. Wang. "State-dependent weights in multicriteria value functions." Journal of Optimization Theory and Applications 74, no. 1 (July 1992): 1–21. http://dx.doi.org/10.1007/bf00939890.

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21

Bogich, Tiffany, and Katriona Shea. "A STATE-DEPENDENT MODEL FOR THE OPTIMAL MANAGEMENT OF AN INVASIVE METAPOPULATION." Ecological Applications 18, no. 3 (April 2008): 748–61. http://dx.doi.org/10.1890/07-0642.1.

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22

Huang, Tien-Yu, and Jean-Lien C. Wu. "Performance analysis of prioritized state-dependent buffer-management schemes in ATM networks." Computer Networks and ISDN Systems 27, no. 1 (October 1994): 45–66. http://dx.doi.org/10.1016/s0169-7552(09)80005-6.

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23

Dong, Jing, Hani S. Mahmassani, Sevgi Erdoğan, and Chung-Cheng Lu. "State-dependent pricing for real-time freeway management: Anticipatory versus reactive strategies." Transportation Research Part C: Emerging Technologies 19, no. 4 (August 2011): 644–57. http://dx.doi.org/10.1016/j.trc.2010.10.001.

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24

Jesmer, Brett R., Jacob R. Goheen, Kevin L. Monteith, and Matthew J. Kauffman. "State-dependent behavior alters endocrine-energy relationship: implications for conservation and management." Ecological Applications 27, no. 8 (September 29, 2017): 2303–12. http://dx.doi.org/10.1002/eap.1608.

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25

Engler, David, Tanuja Chitnis, and Brian Healy. "Joint assessment of dependent discrete disease state processes." Statistical Methods in Medical Research 26, no. 3 (February 19, 2015): 1182–98. http://dx.doi.org/10.1177/0962280215569899.

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In multiple sclerosis, the primary clinical measure of disability level is an ordinal score, the expanded disability severity scale score. In relapsing-remitting multiple sclerosis, measures of relapse are additionally of interest. Multiple sclerosis patients are typically assessed with regard to both the expanded disability severity scale and relapse state at each follow-up visit. As both are discrete measures, the two can be viewed as jointly dependent Markov processes. One of the main goals of multiple sclerosis research is to accurately model, over time, both transitions between expanded disability severity scale states and change in relapse state. This objective requires a number of significant modeling decisions, including decisions about whether or not the combination of specific disease states is warranted and assessment of the dependence structure between the two disease processes. Historically, such decisions are often made in an ad hoc manner and are not formally justified. We propose novel use of Bayes factors and Bayesian variable selection in the assessment of jointly dependent Markovian processes in multiple sclerosis. Methods are assessed using both simulated data and data collected from the Partners Multiple Sclerosis Center in Boston, MA.
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26

Parthasarathy, P. R., and R. Sudhesh. "A state-dependent queue alternating between arrivals and services." International Journal of Operational Research 7, no. 1 (2010): 16. http://dx.doi.org/10.1504/ijor.2010.029515.

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27

MacGregor Smith, J. "Robustness of state-dependent queues and material handling systems." International Journal of Production Research 48, no. 16 (July 13, 2009): 4631–63. http://dx.doi.org/10.1080/00207540903049373.

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28

Knessl, C., B. J. Matkowsky, Z. Schuss, and C. Tier. "Busy period distribution in state-dependent queues." Queueing Systems 2, no. 3 (September 1987): 285–305. http://dx.doi.org/10.1007/bf01158903.

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29

Gupta, Diwakar, and Mandyam M. Srinivasan. "Polling systems with state-dependent setup times." Queueing Systems 22, no. 3-4 (1996): 403–23. http://dx.doi.org/10.1007/bf01149181.

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30

Simonov, Andrey, Jean-Pierre Dubé, Günter Hitsch, and Peter Rossi. "State-Dependent Demand Estimation with Initial Conditions Correction." Journal of Marketing Research 57, no. 5 (August 14, 2020): 789–809. http://dx.doi.org/10.1177/0022243720941529.

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The authors analyze the initial conditions bias in the estimation of brand choice models with structural state dependence. Using a combination of Monte Carlo simulations and empirical case studies of shopping panels, they show that popular, simple solutions that misspecify the initial conditions are likely to lead to bias even in relatively long panel data sets. The magnitude of the bias in the state dependence parameter can be as large as a factor of 2–2.5. The authors propose a solution to the initial conditions problem that samples the initial states as auxiliary variables in a Markov chain Monte Carlo procedure. The approach assumes that the joint distribution of prices and consumer choices is in equilibrium, which is plausible for the mature consumer packaged goods products commonly used in empirical applications. In Monte Carlo simulations, the approach recovers the true parameter values even in relatively short panels. Finally, the authors propose a diagnostic tool that uses common, biased approaches to bound the values of the state dependence and construct a computationally light test for state dependence.
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31

Harford, Jon D. "Measurement error and state-dependent pollution control enforcement." Journal of Environmental Economics and Management 21, no. 1 (July 1991): 67–81. http://dx.doi.org/10.1016/0095-0696(91)90005-4.

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32

JIAO, JIANJUN, LANSUN CHEN, and WEN LONG. "PULSE FISHING POLICY FOR A STAGE-STRUCTURED MODEL WITH STATE-DEPENDENT HARVESTING." Journal of Biological Systems 15, no. 03 (September 2007): 409–16. http://dx.doi.org/10.1142/s0218339007002222.

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The reports of the Second International Symposium on Cage of Aquaculture in Asia (SISCAA) show that much attention is being paid to resource management. It is important to solve this remarkable problem. In this work, a state-dependent impulsive differential model focusing on a stage structure and impulsive harvest aims for the simulation of the factual biological resource management. With the approaches of continuity of function rule, we obtain the sufficient conditions of the existence and orbitally asymptotic stability of periodic solution. Our results are valuable for biological resource management in practice.
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33

Danau, Daniel, and Annalisa Vinella. "From fixed to state-dependent duration in public-private partnerships." Journal of Economics & Management Strategy 26, no. 3 (March 9, 2017): 636–60. http://dx.doi.org/10.1111/jems.12204.

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34

Harford, Jon D. "Improving on the Steady State in the State-Dependent Enforcement of Pollution Control." Journal of Environmental Economics and Management 24, no. 2 (March 1993): 133–38. http://dx.doi.org/10.1006/jeem.1993.1009.

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35

Chiu, W. Henry. "Risk Aversion with State-Dependent Preferences in the Rank-Dependent Expected Utility Theory." Geneva Papers on Risk and Insurance Theory 21, no. 2 (December 1996): 159–77. http://dx.doi.org/10.1007/bf00941936.

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36

Song, Jing-Sheng, and Paul H. Zipkin. "Evaluation of base-stock policies in multiechelon inventory systems with state-dependent demands. Part II: State-dependent depot policies." Naval Research Logistics 43, no. 3 (April 1996): 381–96. http://dx.doi.org/10.1002/(sici)1520-6750(199604)43:3<381::aid-nav5>3.0.co;2-5.

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37

Kimura, T. "A unifying diffusion model for state-dependent queues." Optimization 18, no. 2 (January 1987): 265–83. http://dx.doi.org/10.1080/02331938708843238.

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38

Feng, W., K. Adachi, and M. Kowada. "An optimal state-age dependent replacement for a network system." European Journal of Operational Research 75, no. 3 (June 1994): 634–46. http://dx.doi.org/10.1016/0377-2217(94)90302-6.

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39

Legros, Benjamin. "Dimensioning a queue with state-dependent arrival rates." Computers & Operations Research 128 (April 2021): 105179. http://dx.doi.org/10.1016/j.cor.2020.105179.

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40

Parthasarathy, P. R., and R. Sudhesh. "Time-dependent analysis of a single-server retrial queue with state-dependent rates." Operations Research Letters 35, no. 5 (September 2007): 601–11. http://dx.doi.org/10.1016/j.orl.2006.12.005.

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41

Ridder, Ad, and Thomas Taimre. "State-dependent importance sampling schemes via minimum cross-entropy." Annals of Operations Research 189, no. 1 (August 27, 2009): 357–88. http://dx.doi.org/10.1007/s10479-009-0611-7.

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42

Miretskiy, D. I., W. R. W. Scheinhardt, and M. R. H. Mandjes. "State-dependent importance sampling for a slowdown tandem queue." Annals of Operations Research 189, no. 1 (March 23, 2011): 299–329. http://dx.doi.org/10.1007/s10479-010-0823-x.

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43

Hegde, M. V., P. S. Min, and A. Rayes. "State dependent routing: Traffic dynamics and performance benefits." Journal of Network and Systems Management 2, no. 2 (June 1994): 125–49. http://dx.doi.org/10.1007/bf02139309.

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44

Morrison, J. A. "Single server with linear state-dependent mean rate." Queueing Systems 4, no. 3 (July 1989): 237–48. http://dx.doi.org/10.1007/bf02100268.

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45

Sztrik, J. "The 〈G/M/r/FIFO〉 Machine-Interference Model with State- Dependent Speeds." Journal of the Operational Research Society 39, no. 2 (February 1988): 201. http://dx.doi.org/10.2307/2582382.

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46

Sztrik, J. "The 〈G/M/r/FIFO〉 Machine-Interference Model with State-Dependent Speeds." Journal of the Operational Research Society 39, no. 2 (February 1988): 201–7. http://dx.doi.org/10.1057/jors.1988.31.

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47

Chassioti, E., D. Worthington, and K. Glazebrook. "Effects of state-dependent balking on multi-server non-stationary queueing systems." Journal of the Operational Research Society 65, no. 2 (February 2014): 278–90. http://dx.doi.org/10.1057/jors.2013.27.

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48

Dobrovszky, Károly. "Temperature dependent separation of immiscible polymer blend in a melted state." Waste Management 77 (July 2018): 364–72. http://dx.doi.org/10.1016/j.wasman.2018.04.021.

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49

Zhao, Wencai, Yulin Liu, Tongqian Zhang, and Xinzhu Meng. "Geometric Analysis of an Integrated Pest Management Model Including Two State Impulses." Abstract and Applied Analysis 2014 (2014): 1–18. http://dx.doi.org/10.1155/2014/963072.

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According to integrated pest management strategies, we construct and investigate the dynamics of a Holling-Tanner predator-prey system with state dependent impulsive effects by releasing natural enemies and spraying pesticide at different thresholds. Applying the Dulacs criterion, the global stability of the positive equilibrium in the system without impulsive effect is discussed. By using impulsive differential equation geometry theory and the method of successor functions, we prove the existence of periodic solution of the system with state dependent impulsive effects. Furthermore, the stability conditions of periodic solutions are obtained. Some simulations are exerted to illustrate the feasibility of our main results.
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50

Chen, Yuxin, Sridhar Moorthy, and Z. John Zhang. "Research Note—Price Discrimination After the Purchase: Rebates as State-Dependent Discounts." Management Science 51, no. 7 (July 2005): 1131–40. http://dx.doi.org/10.1287/mnsc.1050.0391.

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