There were six online and ten published reviews of the book. As reviews appeared, I put some reactions here. I have provided links to the actual reviews, but these may work only if your institution has the appropriate subscription.
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"This book, although apparently containing everything, is written in a very
opaque style which makes it impossible to simply read through. It probably is a good reference to look in for particular topics, but it is not at all usable as an introduction." |
The review gives the book a full 5 stars. It says that it might not be useable as the text for a graduate course, but rather "functions well as a reference book". It was used by a course she took, using the chapters as supplementary readings. Because of its completeness, she says she would recommend this book as "one title that most people working in phylogenetics would require for their bookshelf."
This is a review in the internal society bulletin. The Bulletin is received by the members of this society. It is a very gracious and entertaining review which praises the book while noting that persons opposed to statistical approaches to phylogenies may not find it satisfactory. The review is in French. I am not quite sure whether to count this as an on-line review or an in-print review since I think the Bulletin may primarily be distributed on-line.
Some points:
I will not describe these measures or the tests of which are best, preferring to concentrate on methods that have some explicit means of compromising the phylogeny and the stratigraphy.
Si vous voulez un manuel pour vous convaincre que la phylogénétique est d’essence statistique, c’est bien celui-là qu’il faut acheter.was translated as
If you want a handbook to convince you that the phylogenetic one is of statistical gasoline, it is well that one which it is necessary to buy.
Burks credits the book with being good for computer scientists and for biologists versed in biostatistics, but says that it "is very difficult reading for other scientists who do not fully understand the complex math presented in the text. It also does not give a concinct summary of the assumptions and failings of each method." He feels that it is not good for "students who don't have a good handle on such things." He gives it four stars.
These reviews were at one point thought to be coming. However we have passed the fourth anniversary of the publication of the book. It is unusual to have reviews appear that late. One doubts whether these reviews will ever appear.
Incidentally, Amazon compiles a list of SIP's ("statistically improbable phrases" that appear in my book). Their list turns out to be:
| polymorphism parsimony, quartets methods, parsimony score, quartets distance, consensus supertree, multifurcating trees, least squares branch lengths, expected pattern frequencies, distance matrix methods, coalescent trees, short quartets, ancestral selection graph, unit branch length, unrooted tree topology, unrooted bifurcating trees, coalescent genealogy, given tree topology, tree rearrangement, character state tree, partial bootstrap, different tree topologies, least squares tree, phylogenetic invariants, same tree topology, postorder tree traversal |
I think this is a great list -- it really gives you a sense of some things my book covers that some others might not.
Those interested in a list of typos and their corrections for the book should look at the web page here.
Those interested in the example data sets used in the book will find most of them available for download here.