Books on the topic 'Multivariate filter'

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

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

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

SAS Institute. JMP: Version 12 : multivariate methods. Cary, NC: SAS Institute, 2015.

Thomas' calculus: Multivariable. Harlow: Addison-Wesley, 2009.

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

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

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

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

1941-, Stewart James, and Yasskin Philip B. 1949-, eds. Multivariable CalcLabs with Maple: For Stewart's fourth edition, Calculus, Multivariable calculus, Calculus--early transcendentals. Pacific Grove, CA: Brooks/Cole Pub., 1999.

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

A, Mieczkowski Tammy, ed. Univariate & multivariate general linear models: Theory and applications using SAS software. Cary, NC: SAS Institute, 1997.

Advanced & multivariate statistical methods for social science research: With complete SPSS guide. Chicago, Ill: Lyceum Books, 2010.

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

Handbook of univariate and multivariate data analysis with IBM SPSS. Boca Raton: Taylor & Francis, 2014.

1941-, Stewart James, ed. CalcLabs with Mathematica: For Stewart's Multivariable calculus, fifth edition. Pacific Grove, CA: Thomson Brooks/Cole, 2003.

1941-, Stewart James, ed. CalcLabs with Mathematica: For Stewart's Multivariable calculus, concepts and contexts. Pacific Grove, CA: Brooks/Cole Pub., 1998.

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

Larry, Hatcher, Stepanski Edward J, and Hatcher Larry, eds. A step-by-step approach to using SAS for univariate and multivariate statistics. 2nd ed. New York: Wiley-Interscience, 2005.

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

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

L, Lipsman Ronald, and Rosenberg J. 1951-, eds. Multivariable calculus and Mathematica: With applications to geometry and physics. New York, NY: Springer, 1998.

Handbook of univariate and multivariate data analysis and interpretation with SPSS. Boca Raton: Chapman & Hall/CRC, 2006.

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

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

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

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

C, Littell Ramon, and SAS Institute, eds. SAS system for elementary statistical analysis. Cary, NC: SAS Institute, 1991.

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

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

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

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

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

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

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

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

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

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.

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.

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.

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

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

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.

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.

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

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

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

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.

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.

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.