Peter Sprent

Data Driven Statistical Methods (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers wishing to incorporate some of its features into more general courses, and also as a self-instruction manual for applied statisticians seeking a simple introduction to many important practical concepts that use the 'data driven' rather than the 'model driven' approach.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 406
• Erscheinungstermin: 6. Dezember 2019
• Englisch
• ISBN-13: 9781351456555
• Artikelnr.: 58391373

Autorenporträt

Peter Sprent is Emeritus Professor of Statistics at the University of Dundee in Scotland.

Inhaltsangabe

Data
Driven Inference. The Bootstrap. Outliers, Contamination, and Robustness. Location Tests for Two Independent Samples. More One
and Two
Sample Tests. Three or More Independent Samples. Designed Experiments. Correlation and Concordance. Bivariate Regression. Other Regression Models and Diagnostics. Categorical Data Analysis. Further Categorical Data Analysis. Data
Driven or Model
Driven? References. Index.