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The first half of the book, where he lays the ground, is probably the best. Once he gets into probability, with its potential to be mind-boggling fun, he rather gets bogged down, in part because he introduces rather more technicalities, and gives us less real world examples, than he should. Things get rather worse when we get onto estimation, inference and modelling, with a slightly uncomfortable parallel line describing the Bayesian approach and the classical approach.
Despite this, if you are prepared to travel a little lightly through the second half, the book is the best simple introduction to statistics I’ve come across. it doesn’t tell you how to use the various techniques and tools it mentions, but at least gives a good picture of some of the toolkit available and how the choices involved are made. With my Operational Research background, I would have liked to see the book expanding into a few OR techniques, but that’s a minor consideration. Overall, a good addition to the series.
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Review by Brian Clegg
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