Books on the topic 'Multivariate filter'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 books for your research on the topic 'Multivariate filter.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse books on a wide variety of disciplines and organise your bibliography correctly.
Laxton, Douglas. A simple multivariate filter for the measurement of potential output. Bank of Canada, 1992.
Find full textLaxton, Douglas. A simple multivariate filter for the measurement of potential output. Bank of Canada, 1992.
Find full textBenes, Jaromir. A multivariate filter for measuring potential output and the NAIRU: Application to the Czech Republic. International Monetary Fund, Asia and Pacific Dept., 2004.
Find full textÖhrn, Kenth. Design of multivariable cautious discrete-time Wiener filters: A probabilistic approach. Uppsala University, 1996.
Find full textKhattree, Ravindra. Applied multivariate statistics with SAS software. 2nd ed. SAS Institute, 1999.
Find full textL, Hershberger Scott, ed. Multivariate statistical methods: A first course. Lawrence Erlbaum Associates, 1997.
Find full textN, Naik Dayanand, ed. Applied multivariate statistics with SAS software. 2nd ed. SAS Institute, 1999.
Find full textN, Naik Dayanand, ed. Applied multivariate statistics with SAS software. SAS Institute, 1995.
Find full textJean, Stafford. L' analyse multivariée avec SPSS. Presses de l'Université du Québec, 2006.
Find full textAbu-Bader, Soleman H. Advanced & multivariate statistical methods for social science research: With complete SPSS guide. Lyceum Books, 2010.
Find full textH, Timm Neil, and Timm Neil H, eds. Univariate and multivariate general linear models: Theory and applications with SAS. 2nd ed. Chapman & Hall/CRC, 2007.
Find full textHatcher, Larry. A step-by-step approach to using the SAS system for univariate and multivariate statistics. SAS Institute, 1994.
Find full textCarlson, James A. Multivariable mathematics with Maple: Linear algebra, vector calculus and differential equations. Prentice Hall, 1997.
Find full textJöreskog, 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.
Find full textEom, Sean B. Author co-citation analysis using custom bibliographic databases: An introduction to the SAS approach. Edwin Mellen Press, 2003.
Find full textEom, Sean B. Author co-citation analysis using custom bibliographic databases: An introducation to the SAS approach. Edwin Mellen Press, 2003.
Find full textHollis, 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.
Find full textK, Neerchal Nagaraj, and SAS Institute, eds. Overdispersion models in SAS. SAS Institute, 2012.
Find full textW, Stroup Walter, Freund Rudolf Jakob 1927-, and Littell Ramon C, eds. SAS for linear models. 4th ed. SAS Institute, 2002.
Find full textVitek, Francis. Closed Form Multivariate Linear Filter. International Monetary Fund, 2018.
Find full textVitek, Francis. Closed Form Multivariate Linear Filter. International Monetary Fund, 2018.
Find full textVitek, Francis. Closed Form Multivariate Linear Filter. International Monetary Fund, 2018.
Find full textStaff, International Monetary Fund. Estimating Potential Output with a Multivariate Filter. International Monetary Fund, 2010.
Find full textBlagrave, Patrick, Roberto Garcia-Saltos, Douglas Laxton, and Fan Zhang. Simple Multivariate Filter for Estimating Potential Output. International Monetary Fund, 2015.
Find full textStaff, International Monetary Fund. Estimating Potential Output with a Multivariate Filter. International Monetary Fund, 2010.
Find full textFund, International Monetary. Estimating Potential Output with a Multivariate Filter. International Monetary Fund, 2010.
Find full textBlagrave, Patrick, and Roberto Garcia-Saltos. Simple Multivariate Filter for Estimating Potential Output. International Monetary Fund, 2015.
Find full textBlagrave, Patrick, and Roberto Garcia-Saltos. Simple Multivariate Filter for Estimating Potential Output. International Monetary Fund, 2015.
Find full textAlichi, Ali, Olivier Bizimana, Kadir Tanyeri, Douglas Laxton, and Hou Wang. Multivariate Filter Estimation of Potential Output for the United States. International Monetary Fund, 2017.
Find full textAlichi, Ali, Olivier Bizimana, Kadir Tanyeri, Douglas Laxton, and Hou Wang. Multivariate Filter Estimation of Potential Output for the United States. International Monetary Fund, 2017.
Find full textAlichi, Ali, Olivier Bizimana, Douglas Laxton, Fan Zhang, and Hou Wang. Multivariate Filter Estimation of Potential Output for the United States. International Monetary Fund, 2017.
Find full textBlagrave, Patrick, and Marika Santoro. Estimating Potential Output in Chile: A Multivariate Filter for Mining and Non-Mining Sectors. International Monetary Fund, 2016.
Find full textBlagrave, Patrick, and Marika Santoro. Estimating Potential Output in Chile: A Multivariate Filter for Mining and Non-Mining Sectors. International Monetary Fund, 2016.
Find full textDomit, 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.
Find full textBenes, 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.
Find full textBlagrave, Patrick, and Marika Santoro. Estimating Potential Output in Chile: A Multivariate Filter for Mining and Non-Mining Sectors. International Monetary Fund, 2016.
Find full textBenes, 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.
Find full textBenes, 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.
Find full textAlichi, Ali, and Olivier Bizimana. Multivariate Filter Estimation of Potential Output for the Euro Area and the United States. International Monetary Fund, 2015.
Find full textAlichi, Ali, and Olivier Bizimana. Multivariate Filter Estimation of Potential Output for the Euro Area and the United States. International Monetary Fund, 2015.
Find full textAlichi, 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.
Find full textAlichi, 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.
Find full textAlichi, 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.
Find full textNational 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.
Find full textMultivariate Data Reduction and Discrimination with SAS Software. 2nd ed. SAS Publishing, 2000.
Find full textNaik, Dayanand N., and Ravindra Khattree. Applied Multivariate Statistics with SAS Software. WA (Wiley-SAS), 1999.
Find full textMarcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.
Find full textMarcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.
Find full textMarcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.
Find full textMarcoulides, George A., and Scott L. Hershberger. Multivariate Statistical Methods: A First Course. Taylor & Francis Group, 2014.
Find full text