A Guide to Robust Statistical Methods (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2023
First published:	2023
Authors:	Rand R. Wilcox
Dimensions:	235 x 155mm (L x W)
Edition:	1st ed. 2023
ISBN-13:	978-3-03-141712-2
Categories:	Books
LSN:	3-03-141712-7
Barcode:	9783031417122

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!