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Books on the topic 'Long time series'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Palma, Wilfredo. Long-Memory Time Series. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470131466.

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2

Reisen, V. A. Long memory time series models. UMIST, 1993.

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3

Long-memory time series: Theory and methods. Wiley-Interscience, 2007.

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4

Teyssiere, Gilles. Double long-memory financial time series. London University, Queen Mary and Westfield College, Department of Economics, 1996.

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5

Robinson, P. M. Time series regression with long range dependence. Suntory and Toyota International Centres for Economics and Related Disciplines, 1997.

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6

León, Javier. Structural breaks and long-run trends in commodity prices. World Bank, 1995.

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7

Robinson, P. M. Modelling nonlinearity and long memory in time series. Suntory and Toyota International Centres for Economics and Related Disciplines, 1997.

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8

Chambers, Marcus J. Long memory and aggregation in macroeconomic time series. Essex University, Department of Economics, 1995.

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9

Hassler, Uwe. Time Series Analysis with Long Memory in View. John Wiley & Sons, Inc, 2018. http://dx.doi.org/10.1002/9781119470380.

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10

Koop, Gary. Bayesian long-run prediction in time series models. Cracow Academy of Economics, 1992.

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11

Hidalgo, Javier. Spectral analysis for bivariate time series with long memory. Suntory and Toyota International Centres for Economics and Related Disciplines, 1996.

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12

Vincent, Charles L. Long time series measurements in the coastal ocean: A workshop. Woods Hole Oceanographic Institution, 1993.

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13

Chambers, Marcus J. The estimation of continuous parameter long-memory time series models. Essex University, Department of Economics, 1992.

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14

Lo, Andrew W. Long-term memory in stock market prices. National Bureau of Economic Research, 1989.

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15

Robinson, Peter M. Nonlinear time series with long memory: A model for stochastic volatility. London School of Economics, Financial Markets Group, 1996.

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16

Robinson, P. M. Nonlinear time series with long memory: A model for stochastic volatility. Suntory and Toyota International Centres for Economics and Related Disciplines, 1997.

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17

Marinucci, D. Band spectrum regression for cointegrated time series with long memory innovations. Suntory Centre, 1998.

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18

Drobny, Andre s. Some long-run features of dynamic time series models: The implications of cointegration. National Institute of Economic and Social Research, 1987.

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19

Silvapulle, Paramsothy. Testing stationary nonnested short memory against long memory processes. La Trobe University, Schools of Economics and Commerce, 1996.

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20

Alfred-Wegener-Conference. Alfred-Wegener-Conference "Climate dynamics recorded in long continental high resolution time series since the last interglacial". Edited by Negendank Jörg F. W. A. Wegener-Stiftung, 1994.

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21

Haubrich, Joseph Gerard. The sources and nature of long-term memory in the business cycle. National Bureau of Economic Research, 1989.

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22

Coughlin, Alan David Shane. Long time-series meteorological observations in Ireland and the influence of solar variability on climate. The Author], 1998.

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23

Tang, Lijun, Jun Rao, Yufen Lin, et al. Zui ling long: Lost love in times. Hua lu chu ban chuan mei you xian gong si, 2017.

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24

Teyssiére, Giles. Double long-memory Financial Times series. London University, Queen Mary and Westfield College, Department of Economics, 1996.

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25

Fink, Moritz. Understanding The Simpsons. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462988316.

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Another book on The Simpsons? you might wonder. Isn’t the yellow cartoon troupe around the eponymous chaotic family somewhat worn-out? Perhaps you even ask yourself whether that nineties’ show is still on the air anyhow. Accolades such as "the best TV show of the twentieth century" or "the longest-running scripted series on American prime-time television" have elevated The Simpsons to the pop culture pantheon, while also suggesting the very vintage character of the program. But the label "The Simpsons" refers not just to a show that seems to belong to a bygone television era, it implies a rich

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26

van Kooten, G. Cornelis, and Linda Voss, eds. International trade in forest products: lumber trade disputes, models and examples. 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 m

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27

M, Robinson Peter, ed. Time series with long memory. Oxford University Press, 2003.

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28

Palma, Wilfredo. Long-Memory Time Series: Theory and Methods. Wiley & Sons, Incorporated, John, 2007.

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29

Palma, Wilfredo. Long-Memory Time Series: Theory and Methods (Wiley Series in Probability and Statistics). Wiley-Interscience, 2007.

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30

Long-Range Persistence in Geophysical Time Series. Elsevier, 1999. http://dx.doi.org/10.1016/s0065-2687(08)x6022-4.

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31

and Applications of Long-Range Dependence. Birkhauser, 2003.

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32

Kirman, Alan. Long Memory in Economics. Springer, 2006.

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33

(Editor), Paul Doukhan, George Oppenheim (Editor), and Murad S. Taqqu (Editor), eds. Theory and Applications of Long-Range Dependence. Birkhäuser Boston, 2002.

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34

Taqqu, Murad S., and Vladas Pipiras. Long-Range Dependence and Self-Similarity. Cambridge University Press, 2017.

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35

Robinson, Peter M. Time Series With Long Memory (Advanced Texts in Econometrics). Oxford University Press, 2003.

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36

Koopmans, Matthijs. Using Time Series to Analyze Long Range Fractal Patterns. SAGE Publications, Incorporated, 2021.

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37

Robinson, Peter M. Time Series With Long Memory (Advanced Texts in Econometrics). Oxford University Press, 2003.

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38

1963-, Rangarajan G., and Ding Mingzhou, eds. Processes with long-range correlations: Theory and applications. Springer, 2003.

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39

1963-, Rangarajan G., and Ding Mingzhou, eds. Processes with long-range correlations: Theory and applications. Springer, 2003.

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40

Gilles, Teyssière, and Kirman A. P, eds. Long memory in economics. Springer, 2007.

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41

F, Engle R., and Granger, C. W. J. 1934-, eds. Long-run economic relationships: Readings in cointegration. Oxford University Press, 1991.

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42

(Editor), Renata Dmowska, and Barry Saltzman (Editor), eds. Long-Range Persistence in Geophysical Time Series, Volume 40 (Advances in Geophysics). Academic Press, 1999.

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43

(Editor), Renata Dmowska, and Barry Saltzman (Editor), eds. Long-Range Persistence in Geophysical Time Series, Volume 40 (Advances in Geophysics). Academic Press, 1999.

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44

(Editor), Govindan Rangarajan, and Mingzhou Ding (Editor), eds. Processes with Long-Range Correlations: Theory and Applications (Lecture Notes in Physics). Springer, 2003.

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45

(Editor), R. F. Engle, and C. W. J. Granger (Editor), eds. Long-Run Economic Relationsships: Readings in Cointegration (Advanced Texts in Econometrics). Oxford University Press, USA, 1992.

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46

Long-Run Economic Relationships: Readings in Cointegration (Advanced Texts in Econometrics). Oxford University Press, USA, 1992.

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47

Carter, Mr Solomon. Out With A Bang - Long Time Dying Private Investigator Crime Thriller series, bo. CreateSpace Independent Publishing Platform, 2015.

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48

Long Lost: #1 New York Time Bestseller. Dutton, an imprint of Penguin Random House L.L.C., 2018.

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49

Organisation for Economic Co-operation and Development., ed. The determinants of real long-term interest rates: 17 countries pooled-time-series evidence. Organisation for Economic Co-operation and Development, 1995.

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50

Short on Time, Long on Learning: Activities for Those Teachable Moments (Professional Growth Series). Linworth Publishing, 2000.

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