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Books on the topic 'Time series'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kendall, Maurice G. Time series. 3rd ed. E. Arnold, 1990.

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2

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

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3

C, Harvey A., ed. Time series. E. Elgar, 1994.

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4

Chan, Ngai Hang. Time Series. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9781118032466.

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5

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

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6

Ostrom, Charles. Time Series Analysis. SAGE Publications, Inc., 1990. http://dx.doi.org/10.4135/9781412986366.

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7

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

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8

Maoz, Dan, Amiel Sternberg, and Elia M. Leibowitz, eds. Astronomical Time Series. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8941-3.

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9

Powell, Thomas M., and John H. Steele, eds. Ecological Time Series. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-6881-0.

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10

Powell, Thomas M., and John H. Steele, eds. Ecological Time Series. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1769-6.

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11

Mills, Terence C. Time Series Econometrics. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137525338.

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12

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

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13

Levendis, John D. Time Series Econometrics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98282-3.

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14

Neusser, Klaus. Time Series Econometrics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32862-1.

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15

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

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16

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

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17

Sharer, Elizabeth, and Hari Rajagopalan. Time Series Forecasting. SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071910269.

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18

M, Powell T., and Steele John H. 1926-, eds. Ecological time series. Chapman & Hall, 1995.

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19

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

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20

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

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21

Levendis, John D. Time Series Econometrics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37310-7.

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22

ill, Fairclough Chris, ed. Time: Knowabout series. F. Watts, 1988.

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23

Neusser, Klaus. Time Series Econometrics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88838-0.

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24

Chan, Ngai Hang. Time Series. Wiley & Sons, Incorporated, John, 2011.

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25

McElroy, Tucker S., and Dimitris N. Politis. Time Series. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429109553.

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26

Prado, Raquel, and Mike West. Time Series. Chapman and Hall/CRC, 2010. http://dx.doi.org/10.1201/9781439882757.

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27

Time Series. Wiley & Sons Canada, Limited, John, 2004.

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28

Politis, Dimitris N., and Tucker McElroy. Time Series. Taylor & Francis Group, 2021.

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29

Time Series. Open University Worldwide, 2006.

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30

Chan, Jessie. Time Series. Wiley & Sons, Limited, John, 2020.

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31

Diggle, Peter, and Emanuele Giorgi. Time Series. 2nd ed. Oxford University PressOxford, 2024. https://doi.org/10.1093/oso/9780198714835.001.0001.

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Abstract This book is an introductory account of statistical methods for analysing time-series data, with a focus on the application of the methods to biomedical and population health research. In its simplest form, a time series is a single set of observations measured at equally spaced times. Extensions to this basic format that are particularly relevant in biomedical and population health settings include measurements at irregularly spaced times and independently replicated time series, also called longitudinal or repeated measurement data. The book starts by presenting a set of examples th

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32

Time Series : Time Series: Theory and Methods. Springer, 2009.

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33

Time-series forecasting. Chapman & Hall/CRC, 2001.

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34

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

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35

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

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36

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

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37

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

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38

Hannan, Edward James. Multiple Time Series. Wiley & Sons, Incorporated, John, 2009.

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39

Perron, Pierre. Time Series Econometrics. World Scientific Publishing Co Pte Ltd, 2019.

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40

Yao, Qiwei, and Jianqing Fan. Nonlinear Time Series. Springer, 2003.

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41

Chatfield, Chris. Time-Series Forecasting. Taylor & Francis Group, 2000.

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42

Chatfield, Chris. Time-Series Forecasting. Taylor & Francis Group, 2000.

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43

Chatfield, Chris. Time-Series Forecasting. Chapman & Hall/CRC, 2000.

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44

Chatfield, Christopher. Time-Series Forecasting. Taylor & Francis Group, 2001.

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45

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

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46

Gao, Jiti. Nonlinear Time Series. Taylor & Francis Group, 2019.

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47

Perron, Pierre. Time Series Econometrics. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/10930-vol1.

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48

Perron, Pierre. Time Series Econometrics. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/10930-vol2.

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49

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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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 articl

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50

Weigend, Andreas S. Time Series Prediction. Routledge, 2018. http://dx.doi.org/10.4324/9780429492648.

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