Condizione: New.
Condizione: New.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Aggiungi al carrelloCondizione: new.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2024
ISBN 10: 0198872984 ISBN 13: 9780198872986
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can cause researchers to seek out the most powerful methods to analyse their data, but they may also be wary that some methodologies and assumptions may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement, helpingresearchers to analyse such data sets, but also to evaluate and interpret others' analyses.The book discusses the potential challenges associated with a small sample, as well as the waysin which these challenges can be mitigated. General topics with strong relevance to small sample sizes such as meta-analysis, sequential and adaptive designs, and multiple testing are introduced. While the focus is on hypothesis tests and confidence intervals, Bayesian analyses are also covered. Code written in the statistical software R is presented to carry out the proposed methods, many of which are not limited to use on small data sets, and the book also discusses approaches to computingthe power or the necessary sample size, respectively. This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researchers to analyse such data sets, but also to evaluate and interpret others' analyses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 55,11
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Aggiungi al carrelloPaperback. Condizione: Brand New. 192 pages. 6.14x9.21x0.32 inches. In Stock.
EUR 53,33
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EUR 59,66
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 59,46
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 79,69
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Aggiungi al carrelloPaperback. Condizione: Brand New. 192 pages. 6.14x9.21x0.32 inches. In Stock.
Lingua: Inglese
Editore: Oxford University Press Dez 2024, 2024
ISBN 10: 0198872984 ISBN 13: 9780198872986
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 82,98
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can cause researchers to seek out the most powerful methods to analyse their data, but they may also be wary that some methodologies and assumptions may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement, helping researchers to analyse such data sets, but also to evaluate and interpret others' analyses. The book discusses the potential challenges associated with a small sample, as well as the ways in which these challenges can be mitigated. General topics with strong relevance to small sample sizes such as meta-analysis, sequential and adaptive designs, and multiple testing are introduced. While the focus is on hypothesis tests and confidence intervals, Bayesian analyses are also covered. Code written in the statistical software R is presented to carry out the proposed methods, many of which are not limited to use on small data sets, and the book also discusses approaches to computing the power or the necessary sample size, respectively.