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A Guide to Robust Statistical Methods [[electronic resource] /] / by Rand R. Wilcox



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Autore: Wilcox Rand R Visualizza persona
Titolo: A Guide to Robust Statistical Methods [[electronic resource] /] / by Rand R. Wilcox Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (335 pages)
Disciplina: 519.5
Soggetto topico: Statistics
Sampling (Statistics)
Statistical Theory and Methods
Applied Statistics
Methodology of Data Collection and Processing
Nota di contenuto: 1. Introduction -- 2. The one-sample case -- 3. Comparing two independent groups -- 4. Comparing two dependent groups -- 5. Comparing multiple independent groups -- 6. Comparing multiple dependent groups -- 7. Robust regression estimators -- 8. Inferential methods based on robust regression estimators -- 9. Measures of association -- 10. Comparing groups when there is a covariate.
Sommario/riassunto: Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians.
Titolo autorizzato: A Guide to Robust Statistical Methods  Visualizza cluster
ISBN: 3-031-41713-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910755072503321
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