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Books on the topic 'Models of time travel'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

Chen, Huey-Kuo. Dynamic travel choice models: A variational inequality approach. Berlin: Springer, 1999.

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2

Kōtsū no jikan kachi no riron to jissai: Value of travel time : theory and practice. Tōkyō-to Chiyoda-ku: Gihōdō Shuppan, 2013.

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3

Nerhagen, Lena. Travel demand and value of time: Towards an understanding of individuals choice behavior. Gothenburg: Dept. of Economics, Gothenburg University, 2001.

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4

Jean-Pierre, Maquerlot, and Willems Michèle, eds. Travel and drama in Shakespeare's time. Cambridge [England]: Cambridge University Press, 1996.

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5

Garrow, Laurie A. Discrete choice modelling and air travel demand: Theory and applications. Farnham, Surrey: Ashgate, 2010.

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6

Lapparent, Matthieu de. L' analyse de la valeur du temps dans les déplacements professionnels: De l'approche classique à l'introduction d'incertitude sur les temps de transport. Arcueil: INRETS, 2005.

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7

Mees, Romain M. Locating suppression resources by travel times to wildfires. Berkeley, Calif: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1986.

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8

Evans, Carolyn L. Distance, time, and specialization. Washington, D.C: Federal Reserve Board, 2003.

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9

Evans, Carolyn L. Distance, time, and specialization. Cambridge, Mass: National Bureau of Economic Research, 2003.

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10

Urban travel demand modeling: From individual choices to general equilibrium. New York: Wiley, 1995.

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11

Vinne, G. Van Der. Travel time and longitudinal dispersion characteristics on the ice-covered Wapiti and Smoky Rivers. Edmonton, Alta: Environmental Research and Engineering Dept., Alberta Research Council, 1990.

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12

Garrow, Laurie A. Discrete choice modelling and air travel demand: Theory and applications. Farnham, Surrey: Ashgate, 2009.

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13

Weil, Philippe. Money, time preference and external balance. Cambridge, MA: National Bureau of Economic Research, 1989.

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14

Chui, Margaret K. The value of travel time: New estimates developed using a speed-choice model. College Station, Tex: Texas Transportation Institute, Texas A&M University System, 1986.

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15

Jobson, Harvey E. Estimating the variation of travel time in rivers by use of wave speed and hydraulic characteristics. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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16

Jobson, Harvey E. Estimating the variation of travel time in rivers by use of wave speed and hydraulic characteristics. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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17

1961-, Zhang Wei-Bin, ed. International trade theory: Capital, knowledge, economic structure, money, and prices over time. Berlin: Springer, 2008.

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18

Glick, Reuven. Does a currency union affect trade?: The time series evidence. Cambridge, MA: National Bureau of Economic Research, 2001.

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19

Estevadeordal, Antoni. Testing trade theory in Ohlin's time. Cambridge, MA: National Bureau of Economic Research, 2002.

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20

About time: Twelve stories. New York: Simon & Schuster, 1986.

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21

Fukao, Kyoji. International trade and investment under different rates of time preference. Cambridge, MA: National Bureau of Economic Research, 1990.

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22

Szarata, Andrzej. Modelowanie podróży wzbudzonych oraz tłumionych zmiana ̨ stanu infrastruktury transportowej: Modelling of induced and suppressed trips resulting by changes in a transport infrastructure = Modellierung induzierter und der reduzierter Verkehre in Abhängigkeit des Zustands der Verkehrsinfrastruktur. Kraków: Politechnika Krakowska im. Tadeusza Kościuszki, 2013.

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23

Richardson, J. David. Revealing comparative advantage: Chaotic or coherent patterns across time and sector and U.S. trading partner? Cambridge, MA: National Bureau of Economic Research, 1999.

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24

2009, Fu Hui active, ed. Jiao tong xin xi zhi neng yu ce li lun yu fang fa. Bei jing: Ke xue chu ban she, 2009.

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25

Gao feng qi chu xing dong tai jun heng ji qi jing ji xing wei yan jiu. Beijing: Ke xue chu ban she, 2010.

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26

Harrison, Ann E. Openness and growth: A time series, cross-country analysis for developing countries. Washington DC (1818 H St. NW, Washington 20433): Office of the Vice President, Development Economics, the World Bank, 1991.

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27

Harrison, Ann E. Openness and growth: A time series, cross-country analysis for developing countries. Cambridge, MA: National Bureau of Economic Research, 1995.

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28

Schmit, Todd M. Measuring the impacts of generic fluid milk and cheese advertising: A time-varying parameter application. Ithaca, N.Y: Dept. of Applied Economics and Management, College of Agriculture and Life Sciences, Cornell University, 2002.

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29

Kim, Sŭng-jun. Sŏul-si pŭraendŭ k'olt'aeksi hwalsŏnghwa saŏp kwa yŏn'gye han kyot'ong chŏngbo sujip ŭl wihan yŏn'gu =: A study on collecting traffic information using brand call taxi in Seoul. Sŏul-si: Sŏul Sijŏng Kaebal Yŏn'guwŏn, 2008.

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30

Kelly, Brian P. Design of a monitoring well network for the City of Independence, Missouri, well field using simulated ground-water flow paths and travel times. Rolla, Mo: U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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31

Kelly, Brian P. Design of a monitoring well network for the City of Independence, Missouri, well field using simulated ground-water flow paths and travel times. Rolla, Mo: U.S. Geological Survey, 1996.

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32

Kelly, Brian P. Design of a monitoring well network for the City of Independence, Missouri, well field using simulated ground-water flow paths and travel times. Rolla, Mo: U.S. Geological Survey, 1996.

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33

van Kooten, G. Cornelis, and Linda Voss, eds. International trade in forest products: lumber trade disputes, models and examples. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0000.

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Abstract Because of the long-standing Canada-United States lumber trade dispute and the current pressure on the world's forests as a renewable energy source, much attention has been directed toward the modelling of international trade in wood products. Two types of trade models are described in this book: one is rooted in economic theory and mathematical programming, and the other consists of two econometric/statistical models--a gravity model rooted in theory and an approach known as GVAR that relies on time series analyses. The purpose of the book is to provide the background theory behind models and enable readers to easily construct their own models to analyze policy questions, whether in forestry or another sector. Examples in the book illustrate how models can be used to say something about a variety of issues, including identification of the gains and losses to various players in the North American softwood lumber business, and the potential for redirecting sales of lumber to countries outside the United States. The discussion is expanded to include other products besides lumber, and used to examine, for example, the effects of log export restrictions by one naton on all other forestry jurisdictions, the impacts of climate policies as they relate to the global forest sector, and the impact of oil prices on forest product markets throughout the world.
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34

Harvey, A. C. Time series models. 2nd ed. New York: Harvester Wheatsheaf, 1993.

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35

Harvey, A. C. Time series models. 2nd ed. New York: Harvester Wheatsheaf, 1992.

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36

Time series models. 2nd ed. Cambridge, Mass: MIT Press, 1993.

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37

Deistler, Manfred, and Wolfgang Scherrer. Time Series Models. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13213-1.

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38

Cox, D. R., D. V. Hinkley, and O. E. Barndorff-Nielsen, eds. Time Series Models. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-2879-5.

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39

Brandt, Patrick, and John Williams. Multiple Time Series Models. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2007. http://dx.doi.org/10.4135/9781412985215.

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40

Franses, Philip Hans. Periodic time series models. Oxford: Oxford University Press, 2004.

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41

Barber, David, A. Taylan Cemgil, and Silvia Chiappa, eds. Bayesian Time Series Models. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9780511984679.

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42

1958-, Williams John T., ed. Multiple time series models. Thousand Oaks, Calif: Sage Publications, 2007.

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43

Pearson, Ronald K. Discrete-time dynamic models. New York: Oxford University Press, 1999.

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44

Barber, David, Ali Taylan Cemgil, and Silvia Chiappa. Bayesian time series models. Cambridge: Cambridge University Press, 2011.

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45

Nahin, Paul J. Time travel. Cincinnati, Ohio: Writer's Digest Books, 1997.

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46

Time travel. Edina, Minn: ABDO Pub. Co., 2007.

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47

Jolley, Dan. Time travel. Minneapolis: Graphic Universe, 2008.

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48

Macvey, John W. Time travel. Chelsea, Mich: Scarborough House, 1990.

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49

Time travel. Detroit: KidHaven Press, 2009.

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50

Brennan, Herbie. Time travel. London: Faber, 2006.

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