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This book is a practical introduction to statistical techniques called nonpara- metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both students of statistics meeting the methods for the first time and workers in other fields faced with data needing simple but informative analysis. An analogy between experimenters and car drivers describes our aim. Statistical analyses may be done by following a set of rules without understanding their...

An easy-to-read overview of classic and modern mathematics designed both to ease the fears of those who find mathematics frightening and to give fresh insights to those who enjoy the subject. The target readership is those completing school mathematics courses and undergraduate students studying mathematics as a major subject or for use in other disciplines. It is also designed to help teachers looking for class examples or who want to highlight links between the many branches of the subject

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.