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Records found: 391  
Your query: Author Sysno/Doc.kind = "^eu_un_auth h0005218 xkni^"
  1. JOSEPH, Manu. Modern Time Series Forecasting with Python : Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning. 1st Edition. Birmingham : Packt Publishing, 2022. 525 s. ISBN 978-1-80324-680-2. [Copy count : 1, currently available 0, at library only 0]
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  2. HYNDMAN, Rob J. - ATHANASOPOULOS, George. Forecasting : Principles and Practice. [S.l.] : [s.n.] : OTexts, 2021. 440 s. ISBN 978-0-9875071-3-6. [Copy count : 4, currently available 0, at library only 4]
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  3. WOOLDRIDGE, Jeffrey M. Introductory Econometrics : A Modern Approach. 7th Edition. Boston : Cengage Learning, 2021. 826 s. ISBN 978-1-337-55886-0. [Copy count : 2, currently available 0, at library only 2]
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  4. HEISS, Florian. Using R for Introductory Econometrics. 2nd Edition. [S.l.] : [s.n.], 2020. 368 s. ISBN 979-8648424364. [Copy count : 1, currently available 0, at library only 1]
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  5. NIELSEN, Aileen. Practical Time Series Analysis : Prediction with Statistics and Machine Learning. 1st Edition. Sebastopol : O'Reilly, 2020. 480 s. ISBN 978-1-492-04165-8. [Copy count : 1, currently available 0, at library only 0]
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  6. STOCK, James H. - WATSON, Mark W. Introduction to Econometrics. 4th Edition. Harlow : Pearson, 2020. 797 s. The Pearson Series in Economics. ISBN 1-292-26445-4. [Copy count : 2, currently available 0, at library only 2]
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  7. BROOKS, Chris. Introductory Econometrics for Finance. 4th Edition. Cambridge : Cambridge University Press, 2019. 696 s. ISBN 978-1-108-43682-3. [Copy count : 2, currently available 0, at library only 1]
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  8. STOCK, James H. - WATSON, Mark W. Introduction to Econometrics. 4th Edition. New York : PEARSON, 2019. 755 s. The Pearson Series in Economics. ISBN 978-0-13-446199-1. [Copy count : 2, currently available 0, at library only 2]
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  9. SHMUELI, Galit - LICHTENDAHL, Kenneth C. Practical Time Series Forecasting with R : A Hands-on Guide. 2nd Edition. Green Cove Springs : Axelrod Schnall Publishers, 2018. 232 s. ISBN 978-0-9978479-1-8. [Copy count : 1, currently available 1, at library only 0]
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  10. REIFF, Marian. Analýza parametrov skrytého Markovovho modelu : habilitačná práca. Oponent: Juraj Pekár... [et al.]. Bratislava, 2018. 110 s. [Copy count : 1, currently available 0, at library only 1]
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