Da: Chiron Media, Wallingford, Regno Unito
EUR 52,02
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Revaluation Books, Exeter, Regno Unito
EUR 57,83
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 234 pages. 8.75x6.00x0.50 inches. In Stock.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 79,75
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Editore: Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128047534 ISBN 13: 9780128047538
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 64,89
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 72,67
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,65
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Da: Chiron Media, Wallingford, Regno Unito
EUR 71,59
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 82,08
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Da: preigu, Osnabrück, Germania
EUR 58,50
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Fundamental Statistical Principles for the Neurobiologist | A Survival Guide | Stephen W. Scheff | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2016 | Academic Press | EAN 9780128047538 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 52,28
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 62,60
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be 'outliers' and what to do when there is missing data, an issue that has not sufficiently been covered in literature. Englisch.
Editore: Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128047534 ISBN 13: 9780128047538
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 86,80
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 484.
Da: moluna, Greven, Germania
EUR 62,85
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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. Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles wr.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 66,82
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be 'outliers' and what to do when there is missing data, an issue that has not sufficiently been covered in literature.