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Books on the topic 'Interrupted Time Series Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Time series analysis. Boston: Duxbury Press, 1986.

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2

Time Series Analysis. Princeton, NJ, USA: Princeton University Press, 1994.

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3

Ostrom, Charles. Time Series Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1990. http://dx.doi.org/10.4135/9781412986366.

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4

Madsen, Henrik. Time series analysis. Boca Raton: Chapman & Hall/CRC, 2008.

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5

Tanaka, Katsuto. Time Series Analysis. Hoboken, New Jersey: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119132165.

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6

Cryer, Jonathan D., and Kung-Sik Chan. Time Series Analysis. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-75959-3.

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7

Time series analysis. Hoboken: John Wiley & Sons, Inc., 2016.

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8

Maurice, Kendall. Time series. 3rd ed. Sevenoaks: Edward Arnold, 1993.

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9

1963-, Schreiber Thomas, ed. Nonlinear time series analysis. 2nd ed. Cambridge, UK: Cambridge University Press, 2004.

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10

Sayrs, Lois. Pooled Time Series Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1989. http://dx.doi.org/10.4135/9781412985420.

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11

1963-, Schreiber Thomas, ed. Nonlinear time series analysis. Cambridge: Cambridge University Press, 1997.

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12

Mudelsee, Manfred. Climate Time Series Analysis. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04450-7.

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13

Mudelsee, Manfred. Climate Time Series Analysis. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9482-7.

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14

Pooled time series analysis. Newbury Park, Calif: Sage Publications, 1989.

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15

L, Gray Henry, and Elliott Alan C, eds. Applied time series analysis. Boca Raton: Chapman & Hall/CRC, 2011.

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16

C, Harvey A., ed. Time series. Aldershot, Hants, England: E. Elgar, 1994.

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17

Practical time series. London: Arnold, 2001.

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18

Hardin, Jay C. Introduction to time series analysis. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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19

Shumway, Robert H. Applied statistical time series analysis. London: Prentice-Hall International, 1988.

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20

Priestley, M. B. Spectral analysis and time series. 5th ed. London: Academic Press, 1987.

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21

Pollock, D. S. G. Metaphors for time-series analysis. London: London University, Queen Mary and Westfield College, Department of Economics, 1993.

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22

Liu, Lon-Mu. Time series analysis and forecasting. River Forest, IL: Scientific Computing Associates, 2005.

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23

Liu, Lon-Mu. Time series analysis and forecasting. 2nd ed. River Forest, Ill: Scientific Computing Associates, 2006.

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24

Pollock, D. S. G. Metaphors for time-series analysis. London: Queen Mary and Westfield College, Dept. of Economics, 1993.

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25

Liu, Lon-Mu. Time series analysis and forecasting. [s.l.]: Scientific Computing Associates, 2005.

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26

Analysis of financial time series. 3rd ed. Cambridge, Mass: Wiley, 2010.

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27

Analysis of financial time series. 2nd ed. Hoboken, N.J: Wiley, 2005.

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28

Tsay, Ruey S. Analysis of Financial Time Series. New York: John Wiley & Sons, Ltd., 2005.

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29

Durlauf, Steven N., and Lawrence Blume. Macroeconometrics and time series analysis. Basingstoke: Palgrave Macmillan, 2010.

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30

Jelinek, Herbert F., David J. Cornforth, and Ahsan H. Khandoker, eds. ECG Time Series Variability Analysis. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315372921.

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31

Chatfield, Chris, and Haipeng Xing. The Analysis of Time Series. Seventh edition. | Boca Raton, Florida : CRC Press, [2019] |: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781351259446.

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32

Ostrom, Charles W. Time series analysis: Regression techniques. 2nd ed. Newberry Park, Calif: Sage Publications, 1990.

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33

SPROTT, JULIEN CLINTON. CHAOS AND TIME-SERIES ANALYSIS. OXFORD: OXFORD UNIV PRESS, 2003.

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34

Montgomery, Douglas C. Forecasting and time series analysis. 2nd ed. New York: McGraw-Hill, 1990.

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35

Priestley, M. B. Spectral analysis and time series. London: Academic Press, 1987.

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36

Rojas, Ignacio, Héctor Pomares, and Olga Valenzuela, eds. Time Series Analysis and Forecasting. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96944-2.

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37

Rojas, Ignacio, and Héctor Pomares, eds. Time Series Analysis and Forecasting. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28725-6.

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38

Tsay, Ruey S. Analysis of Financial Time Series. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471746193.

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39

McDowall, David, Richard McCleary, and Bradley J. Bartos. Interrupted Time Series Analysis. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190943943.001.0001.

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Abstract:

Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioural, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao model-building strategy is supplemented with recent auxiliary tests for transformation, differencing and model selection. New developments, including Bayesian hypothesis testing and synthetic control group designs are described and their prospects for widespread adoption are discussed. Example analyses make optimal use of graphical illustrations. Mathematical methods used in the example analyses are explicated assuming only exposure to an introductory statistics course. Design and Analysis of Time Series Experiments (DATSE) and other appropriate authorities are cited for formal proofs. Forty completed example analyses are used to demonstrate the implications of model properties. The example analyses are suitable for use as problem sets for classrooms, workshops, and short-courses.

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40

McDowall, David, Bradley J. Bartos, and Richard McCleary. Interrupted Time Series Analysis. Oxford University Press, Incorporated, 2019.

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41

McDowall, David, Bradley J. Bartos, and Richard McCleary. Interrupted Time Series Analysis. Oxford University Press, Incorporated, 2019.

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42

Time Series Analysis. Addison-Wesley Pub Co, 1989.

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43

Palma, Wilfredo. Time Series Analysis. Wiley & Sons, Incorporated, John, 2016.

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44

Palma, Wilfredo. Time Series Analysis. Wiley & Sons, Incorporated, John, 2016.

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45

Hamilton, James Douglas. Time Series Analysis. Princeton University Press, 2020.

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46

Palma, Wilfredo. Time Series Analysis. Wiley & Sons, Incorporated, John, 2016.

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47

Time Series Analysis. Taylor & Francis Group, 2007.

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48

Pevehouse, Jon, and Jason D. Brozek. Time‐Series Analysis. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0019.

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Abstract:

This article discusses time-series methods such as simple time-series regressions, ARIMA models, vector autoregression (VAR) models, and unit root and error correction models (ECM). It specifically presents a brief history of time-series analysis before moving to a review of the basic time-series model. It then describes the stationary models in univariate and multivariate analyses. The nonstationary models of each type are addressed. In addition, various issues regarding the analysis of time series including data aggregation and temporal stability are considered. Before concluding, the article briefly reports the time-series techniques in the context of panel data. In general, time-series analysis can help improve the understanding of the political world.

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49

JENKINS, BOX. Time Series Analysis. Prentice-Hall, 1991.

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50

Wei, William W. S. Time Series Analysis. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199934898.013.0022.

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