Fr. 256.00

Data Driven Statistical Methods

English · Hardback

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Description

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This book is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers, 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

List of contents










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.

About the author










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

Summary

This book is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers, 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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