Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Lingua: Inglese
Editore: Guilford Publications, Incorporated, 2015
ISBN 10: 1462519490 ISBN 13: 9781462519491
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Lingua: Inglese
Editore: Guilford Publications, Incorporated, 2015
ISBN 10: 1462519490 ISBN 13: 9781462519491
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Aggiungi al carrelloPaperback. Condizione: Brand New. 402 pages. 9.75x6.25x1.00 inches. In Stock.
Lingua: Inglese
Editore: Guilford Publications, Incorporated, 2015
ISBN 10: 1462519490 ISBN 13: 9781462519491
Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Aggiungi al carrelloGebunden. Condizione: New. Wei Pan, PhD, is Associate Professor and Biostatistician in the School of Nursing at Duke University. His research interests include causal inference (confounding, propensity score analysis, and resampling), advanced modeling (multilevel, structural, and.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838328728 ISBN 13: 9783838328720
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. AN INTRODUCTION TO S-SMART | Another Look at the Bootstrap | Haiyan Bai | Taschenbuch | 144 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838328720 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2009
ISBN 10: 3838328728 ISBN 13: 9783838328720
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Aggiungi al carrelloPaperback. Condizione: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.
Lingua: Inglese
Editore: Guilford Publications Apr 2015, 2015
ISBN 10: 1462519490 ISBN 13: 9781462519491
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838328728 ISBN 13: 9783838328720
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Resampling as a revolutionary methodology to deal with small-sample problems has been developed rapidly with the growth of modern computer techniques. This book introduces a new resampling method, the sample smoothing amplification resampling technique (S-SMART) which can produce amplified samples with adequate statistical power, conditional independence of observations, robustness to outliers, stable statistical behaviors, and an identical distribution with its small random proto-sample from any distributions. An empirical example is also provided as guidance for readers to apply S-SMART to their own research using small samples. This book also includes a systematic overview and comparison of other major resampling methods, including the Bootstrap; therefore, applied statisticians and quantitative researchers not only can use the book as an introduction to S-SMART, but also can consult it for information about other resampling methods. 144 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838328728 ISBN 13: 9783838328720
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bai HaiyanHaiyan Bai, Ph.D., is an Assistant Professor of Quantitative Research Methodology at the University of Central Florida. Her research focus is in the area of resampling techniques and other statistical methods.Resampling.
Da: moluna, Greven, Germania
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics, and is practical enough for researchers to quickly generalize and apply the methods.Über den Autor.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838328728 ISBN 13: 9783838328720
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Resampling as a revolutionary methodology to deal with small-sample problems has been developed rapidly with the growth of modern computer techniques. This book introduces a new resampling method, the sample smoothing amplification resampling technique (S-SMART) which can produce amplified samples with adequate statistical power, conditional independence of observations, robustness to outliers, stable statistical behaviors, and an identical distribution with its small random proto-sample from any distributions. An empirical example is also provided as guidance for readers to apply S-SMART to their own research using small samples. This book also includes a systematic overview and comparison of other major resampling methods, including the Bootstrap; therefore, applied statisticians and quantitative researchers not only can use the book as an introduction to S-SMART, but also can consult it for information about other resampling methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838328728 ISBN 13: 9783838328720
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 59,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Resampling as a revolutionary methodology to deal with small-sample problems has been developed rapidly with the growth of modern computer techniques. This book introduces a new resampling method, the sample smoothing amplification resampling technique (S-SMART) which can produce amplified samples with adequate statistical power, conditional independence of observations, robustness to outliers, stable statistical behaviors, and an identical distribution with its small random proto-sample from any distributions. An empirical example is also provided as guidance for readers to apply S-SMART to their own research using small samples. This book also includes a systematic overview and comparison of other major resampling methods, including the Bootstrap; therefore, applied statisticians and quantitative researchers not only can use the book as an introduction to S-SMART, but also can consult it for information about other resampling methods.