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Books on the topic 'Model time series analysis'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Chih-Ling, Tsai, ed. Regression and time series model selection. Singapore: World Scientific, 1998.

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2

Frances, Philip Hans. Model selection and seasonality in time series. Amsterdam: Tinbergen Instituut, 1991.

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3

Konstantinos, Fokianos, ed. Regression models for time series analysis. Hoboken, N.J: Wiley-Interscience, 2002.

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4

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

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5

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

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6

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

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7

Franses, Philip Hans. Model selection and seasonality in time series. Amsterdam: Thesis/Tinbergen Instituut, 1991.

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8

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

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9

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

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10

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

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11

Štulajter, František. Predictions in time series using regression models. New York: Springer, 2002.

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12

Bartel, Holger. Specifying and analyzing multiple time series models. Aachen: Shaker, 1999.

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13

Paolella, Marc S. Linear Models and Time-Series Analysis. Chichester, UK: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119432036.

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14

Kedem, Benjamin, and Konstantinos Fokianos. Regression Models for Time Series Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2002. http://dx.doi.org/10.1002/0471266981.

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15

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

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16

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

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17

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

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18

Quantitative methods for portfolio analysis: MTV model approach. Dordrecht: Kluwer Academic Publishers, 1993.

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19

Time series data analysis using EViews. Hoboken, N.J: Wiley, 2009.

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20

Gourieroux, Christian. Time series and dynamic models. New York: Cambridge University Press, 1997.

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21

Gourieroux, Christian. Time series and dynamic models. Cambridge: Cambridge University Press, 1997.

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22

Bera, Anil K. A test for conditional heteroskedasticity in time series models. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1990.

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23

Ishiguro, M. ARdock, an auto-regressive model analyzer. Tokyo: Institute of Statistical Mathematics, 1999.

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24

Ishiguro, M. ARdock, an auto-regressive model analyzer. Tokyo: Institute of Statistical Mathematics, 1999.

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25

Jens-Peter, Kreiß, Davis Richard A, Andersen Torben Gustav, and SpringerLink (Online service), eds. Handbook of Financial Time Series. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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26

A, Davis Richard, ed. Time series: Theory and methods. 2nd ed. New York: Springer-Verlag, 1991.

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27

A, Davis Richard, ed. Time series: Theory and methods. New York: Springer-Verlag, 1987.

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28

Brockwell, Peter J. Time series: Theory and methods. 2nd ed. New York: Springer, 1996.

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29

Barber, David. Bayesian time series models. Cambridge: Cambridge University Press, 2011.

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30

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

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31

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

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32

Analysis of financial time series. New York: Wiley, 2002.

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33

Dommermuth, Douglas G. Time series analysis of ocean waves. Cambridge, Mass: Massachusetts Institute of Technology, Sea Grant College Program, 1986.

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34

Hagiwara, Junichiro. Time Series Analysis for the State-Space Model with R/Stan. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0711-0.

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35

Apps, Patricia. Gender, time use, and models of the household. Washington, D.C: World Bank, 2004.

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36

Paul, Newbold, ed. Forecasting economic time series. 2nd ed. Orlando: Academic Press, 1986.

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37

Willems, Jan C. From Data to Model. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.

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38

Lewis, Peter A. W. Some simple models for continuous variate time series. Monterey, Calif: Naval Postgraduate School, 1985.

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39

Estimation in conditionally heteroscedastic time series models. Berlin: Springer, 2005.

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40

Box, George E. P. Time series analysis: Forecasting and control. 4th ed. Hoboken, N.J: John Wiley, 2008.

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41

Box, George E. P. Time series analysis: Forecasting and control. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1994.

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42

Box, George E. P. Time series analysis: Forecasting and control. 4th ed. Hoboken, N.J: John Wiley, 2008.

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43

Costas, Milas, and Rothman Philip, eds. Nonlinear time series analysis of business cycles. Boston: Elsevier, 2006.

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44

Ouellette, Pierre. The analysis of flood damage time series. Sainte-Foy, Québec: Inland Water Directorate, Quebec Region, Water Planning and Management Branch, 1986.

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45

Brock, William A. A dynamic structural model for stock return volatility and trading volume. Cambridge, MA: National Bureau of Economic Research, 1995.

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46

Harvey, Andrew. Forecasting, structural time series models and the Kalman filter. Cambridge: Cambridge University Press, 1989.

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47

J, Parsons Leonard, and Schultz Randall L, eds. Market response models: Econometric and time series analysis. 2nd ed. Boston: Kluwer Academic Publishers, 2001.

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48

J, Parsons Leonard, and Schultz Randall L, eds. Market response models: Econometric and time series analysis. Boston: Kluwer Academic Publishers, 1990.

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49

Hanssens, Dominique M., Leonard J. Parsons, and Randall L. Schultz. Market Response Models: Econometric and Time Series Analysis. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1073-7.

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50

Wensink, Hans Einar. Autoregressive model inference in finite samples =: Autoregressief modelleren op basis van een eindig aantal waarnemingen. [Delft, Netherlands]: Delft University Press, 1996.

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