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1

Laxton, Douglas. A simple multivariate filter for the measurement of potential output. Bank of Canada, 1992.

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2

Laxton, Douglas. A simple multivariate filter for the measurement of potential output. Bank of Canada, 1992.

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3

Benes, Jaromir. A multivariate filter for measuring potential output and the NAIRU: Application to the Czech Republic. International Monetary Fund, Asia and Pacific Dept., 2004.

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4

Öhrn, Kenth. Design of multivariable cautious discrete-time Wiener filters: A probabilistic approach. Uppsala University, 1996.

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5

Khattree, Ravindra. Applied multivariate statistics with SAS software. 2nd ed. SAS Institute, 1999.

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6

L, Hershberger Scott, ed. Multivariate statistical methods: A first course. Lawrence Erlbaum Associates, 1997.

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7

N, Naik Dayanand, ed. Applied multivariate statistics with SAS software. 2nd ed. SAS Institute, 1999.

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8

N, Naik Dayanand, ed. Applied multivariate statistics with SAS software. SAS Institute, 1995.

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9

Jean, Stafford. L' analyse multivariée avec SPSS. Presses de l'Université du Québec, 2006.

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10

Abu-Bader, Soleman H. Advanced & multivariate statistical methods for social science research: With complete SPSS guide. Lyceum Books, 2010.

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11

H, Timm Neil, and Timm Neil H, eds. Univariate and multivariate general linear models: Theory and applications with SAS. 2nd ed. Chapman & Hall/CRC, 2007.

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12

Hatcher, Larry. A step-by-step approach to using the SAS system for univariate and multivariate statistics. SAS Institute, 1994.

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13

Carlson, James A. Multivariable mathematics with Maple: Linear algebra, vector calculus and differential equations. Prentice Hall, 1997.

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14

Jöreskog, K. G. PRELIS 2 user's reference guide: A program for multivariate data screening and data summarization : a preprocessor for LISREL. Scientific Software International, 2002.

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15

Eom, Sean B. Author co-citation analysis using custom bibliographic databases: An introduction to the SAS approach. Edwin Mellen Press, 2003.

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16

Eom, Sean B. Author co-citation analysis using custom bibliographic databases: An introducation to the SAS approach. Edwin Mellen Press, 2003.

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17

Hollis, Selwyn L. Multivariable CalcLabs with Mathematica: For Stewart's fourth edition, Calculus, Single variable calculus, Calculus--early transcendentals, Single variable calculus--early transcendentals. Brooks/Cole Pub., 1999.

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18

K, Neerchal Nagaraj, and SAS Institute, eds. Overdispersion models in SAS. SAS Institute, 2012.

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19

W, Stroup Walter, Freund Rudolf Jakob 1927-, and Littell Ramon C, eds. SAS for linear models. 4th ed. SAS Institute, 2002.

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20

Vitek, Francis. Closed Form Multivariate Linear Filter. International Monetary Fund, 2018.

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21

Vitek, Francis. Closed Form Multivariate Linear Filter. International Monetary Fund, 2018.

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22

Vitek, Francis. Closed Form Multivariate Linear Filter. International Monetary Fund, 2018.

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23

Staff, International Monetary Fund. Estimating Potential Output with a Multivariate Filter. International Monetary Fund, 2010.

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24

Blagrave, Patrick, Roberto Garcia-Saltos, Douglas Laxton, and Fan Zhang. Simple Multivariate Filter for Estimating Potential Output. International Monetary Fund, 2015.

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25

Staff, International Monetary Fund. Estimating Potential Output with a Multivariate Filter. International Monetary Fund, 2010.

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26

Fund, International Monetary. Estimating Potential Output with a Multivariate Filter. International Monetary Fund, 2010.

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27

Blagrave, Patrick, and Roberto Garcia-Saltos. Simple Multivariate Filter for Estimating Potential Output. International Monetary Fund, 2015.

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28

Blagrave, Patrick, and Roberto Garcia-Saltos. Simple Multivariate Filter for Estimating Potential Output. International Monetary Fund, 2015.

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29

Alichi, Ali, Olivier Bizimana, Kadir Tanyeri, Douglas Laxton, and Hou Wang. Multivariate Filter Estimation of Potential Output for the United States. International Monetary Fund, 2017.

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30

Alichi, Ali, Olivier Bizimana, Kadir Tanyeri, Douglas Laxton, and Hou Wang. Multivariate Filter Estimation of Potential Output for the United States. International Monetary Fund, 2017.

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31

Alichi, Ali, Olivier Bizimana, Douglas Laxton, Fan Zhang, and Hou Wang. Multivariate Filter Estimation of Potential Output for the United States. International Monetary Fund, 2017.

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32

Blagrave, Patrick, and Marika Santoro. Estimating Potential Output in Chile: A Multivariate Filter for Mining and Non-Mining Sectors. International Monetary Fund, 2016.

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33

Blagrave, Patrick, and Marika Santoro. Estimating Potential Output in Chile: A Multivariate Filter for Mining and Non-Mining Sectors. International Monetary Fund, 2016.

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34

Domit, Silvia, Emilio Fernández Corugedo, Ali Alichi, Olivier Bizimana, and Douglas Laxton. Multivariate Filter Estimation of Potential Output for the Euro Area and the United States. International Monetary Fund, 2015.

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35

Benes, Jaromir, and Papa M'B P. N'Diaye. Multivariate Filter for Measuring Potential Output and the Nairu: Application to the Czech Republic. International Monetary Fund, 2004.

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36

Blagrave, Patrick, and Marika Santoro. Estimating Potential Output in Chile: A Multivariate Filter for Mining and Non-Mining Sectors. International Monetary Fund, 2016.

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37

Benes, Jaromir, and Papa M'B P. N'Diaye. Multivariate Filter for Measuring Potential Output and the Nairu: Application to the Czech Republic. International Monetary Fund, 2004.

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38

Benes, Jaromir, and Papa M'B P. N'Diaye. Multivariate Filter for Measuring Potential Output and the Nairu: Application to the Czech Republic. International Monetary Fund, 2004.

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39

Alichi, Ali, and Olivier Bizimana. Multivariate Filter Estimation of Potential Output for the Euro Area and the United States. International Monetary Fund, 2015.

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40

Alichi, Ali, and Olivier Bizimana. Multivariate Filter Estimation of Potential Output for the Euro Area and the United States. International Monetary Fund, 2015.

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41

Alichi, Ali, Shalva Mkhatrishvili, Armen Nurbekyan, Douglas Laxton, and Hayk Avetisyan. Multivariate Filter Estimation of Potential Output for the United States: An Extension with Labor Market Hysteresis. International Monetary Fund, 2019.

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42

Alichi, Ali, Shalva Mkhatrishvili, Armen Nurbekyan, Douglas Laxton, and Hayk Avetisyan. Multivariate Filter Estimation of Potential Output for the United States: An Extension with Labor Market Hysteresis. International Monetary Fund, 2019.

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43

Alichi, Ali, Shalva Mkhatrishvili, Armen Nurbekyan, Douglas Laxton, and Hayk Avetisyan. Multivariate Filter Estimation of Potential Output for the United States: An Extension with Labor Market Hysteresis. International Monetary Fund, 2019.

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44

National Aeronautics and Space Administration (NASA) Staff. Design and Implementation of a Parallel Multivariate Ensemble Kalman Filter for the Poseidon Ocean General Circulation Model. Independently Published, 2018.

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45

Multivariate Data Reduction and Discrimination with SAS Software. 2nd ed. SAS Publishing, 2000.

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46

Naik, Dayanand N., and Ravindra Khattree. Applied Multivariate Statistics with SAS Software. WA (Wiley-SAS), 1999.

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47

Marcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.

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48

Marcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.

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49

Marcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.

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50

Marcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.

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