Skip to main content

Statistics: a very short introduction – David J. Hand ****

These little pocket guides are inevitably quite variable in quality. Some just pack in the facts but aren’t at all readable – they’re fine as a quick introduction for students, but they get short shrift as popular science. On the whole, though, David J. Hand’s introduction to statistics succeeds in being very readable. I think he rather over-reached himself with his stated aim of proving that statistics is ‘the most exciting of disciplines’ – but he does make it clear why statisticians find it exciting, and what a powerful and ubiquitous field it is. Very few of the sciences, soft or hard, could manage without probability and statistics.
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.
Paperback:  
Review by Brian Clegg

Comments

Popular posts from this blog

Ancestral Night (SF) - Elizabeth Bear *****

Only a couple of weeks ago, reviewing a 1960s SF book, I bemoaned the fact that science fiction novels of ideas are less common now. Although it is correctly labelled a space opera, Ancestral Night delivers ideas with aplomb.

Let's deal with the space opera aspect first. Elizabeth Bear provides some excellent adventure scenes in space, and we've the usual mix of huge spaceships and interesting aliens. Main character Haimey Dz is an engineer on a ship that salvages wrecks - but, as we gradually discover - she also has a forgotten past. A major feature of the storyline (one that seems to link to the medieval idea of the lost wisdom of the past) is ancient technology from a long-dead race with capabilities, notably manipulating spacetime mentally (Bear has yet to point out that the travel technologies used here could manipulate time as well as space), which fit well with Arthur C. Clarke's magic definition.

I particularly liked the (surely intentional) nods to the much-misse…

The Creativity Code - Marcus du Sautoy *****

At first glance this might just be another 'What AI is good at and not so good at' title. And in a way, it is. But, wow, what a brilliant book! Marcus du Sautoy takes us on a tour of what artificial intelligence has achieved (and possibly can in the future achieve) in a range of fields from his own of mathematics, through game playing, music, art and more.

After a little discussion of what creativity is, we start off with the now very familiar story of DeepMind's AlphaGo and its astonishing ability to take on the hugely challenging game of Go. Even though I've read about this many times before, du Sautoy, as a Go player and mathematician, gives a real feel for why this was such a triumph - and so shocking. Not surprisingly he is also wonderful on what mathematicians actually do, how computers have helped them to date and how they have the potential to do far more in the future. After all, mathematics is by far the closest science to game playing, as it has strict rule…

The Demon in the Machine - Paul Davies *****

Physicists have a habit of dabbling in biology and, perhaps surprisingly, biologists tend to be quite tolerant of it. (I find it hard to believe the reverse would be true if biologists tried to do physics.) Perhaps one reason for that tolerance is Schrödinger’s lecture series and book What is Life?, which had a huge impact on molecular biology and with a reference to which, not surprisingly, Paul Davies begins his fascinating book. 

At the heart of the The Demon in the Machine (we'll come back to that demon in a moment) is the relationship between life and information. In essence, Davies points out that if we try to reduce life to its simple physical components it is like trying to work with a computer that has no software. The equivalent of software here is information, not just in the best publicised aspect of the information stored in the DNA, but on a far broader scale, operating in networks across the organism.
This information and its processing gives life its emergent compl…