Books and Media Reviews
Reviews should be informative and express a view. While most reviews are of books, we welcome suggestions for review of any material (e.g. video or audio, online courses) relevant to statisticians. Please contact the Reviews Editor (see below) with any suggestions.
Readers want to know whether this book (or other material) could be of interest to them, or to a colleague or student. Space for reviews is limited, so every word used must earn its place. A minority of books merit a very full review, about 600–800 words; most reviews are expected to be about 300–400 words; for some books, including those little changed from a previous edition, 150 words will suffice. For Significance magazine, reviews must be no more than 250 words. Please try hard not to include formulae or complex mathematical expressions.
Do not hold back from offering fair and defensible (but not offensive) criticism where it is deserved. If your review exposes a book as outdated, inaccurate or unsatisfactory in other ways, you will earn the gratitude of many. Similarly, when the book has a refreshing perspective, or is particularly useful (even in a few chapters), your enthusiasm will be appreciated. Of course, you must not review material in which you have a pecuniary or similar interest.
Avoid simply quoting from the publisher’s blurb, without comment, or merely listing chapter titles, unless this is the best way to succinctly describe the content. Your review should offer more than can be found by a reader stumbling across the book in a bookshop, or advertised on a Web site. If the authors have offered to make publicly available a list of misprints and corrections, it will be more useful to send minor slips directly to them than to take up space in your review. But, when you find errors that are likely to mislead, then point them out!
Sometimes, two or more books on the same topic can be reviewed together; in general, comparisons of new books with the existing literature can be most helpful. We want reviews published in our journals to read well, to be authoritative, and to be useful to the statistical community. If you refer to other published work, give precise details in the conventional manner, listing such references at the end of your review.
The division between publication in Significance and Series A of the journal is now established: reviews of books aimed at the general public, undergraduate texts and historical surveys now appear in Significance, whereas more technical books, research monographs and postgraduate texts will be reviewed in Series A.
Head your review with the standard information in this order: title, author(s), publication year, edition or format, publisher, length, price and ISBN. End with your own name and your affiliation (or simply town or city where you live), and your e-mail address if you are happy for it to appear in print. Send as plain text or Word document; LaTeX markup may also be helpful if typographic features or non-English characters are relied on.
The Book Reviews Editor and/or the copy editor might edit your review mildly, mainly to put it into in ‘house style’, but also to correct typographical errors etc.; if an Editor wishes to make any alteration of substance, he or she will run it past you first. You will, of course, also receive proofs of the text to check before publication, but the review cannot be published until you also return a signed copy of the copyright transfer agreement (CTA) that will accompany the proofs.
The following items are currently available (listed by year of publication). There is no fee but the reviewer keeps the book. Please contact the Reviews Editor (email@example.com) to request an item.
Salganik, M.J., Bit by Bit: Social Research in the Digital Age Hardcover. , Princeton University Press. (2017) hbk
Albert Vexler, A. and Hutson, A., Statistics in the Health Sciences: Theory, Applications, and Computing 1st Edition. CRC Press (2018) hbk
Anderson, D.F., Seppäläinen, T. and Valkó, B. Introduction to Probability. CUP. (2018) hbk
Murtagh, F. Data Science Foundations: Geometry and Topology of Complex Hierarchical Systems and Big Data Analysis. CRC Press. (2018) hbk
Valliant, R., and Dever, J.A. Survey Weights: A Step-by-Step Guide to Calculation [using Stata]. Stata Press. (2018) pbk
Albert, J. Visualizing Baseball. CRC Press. (2017) pbk
Allen, R. Statistics and Experimental Design for Psychologists: A Model Comparison Approach. World Scientific. (2017) pbk
Barlow, M. Random walks and heat kernels on graphs. CUP. (2017) pbk
Beckerman, A. P., Childs, D. Z. and Petchey, O. L. Getting Started with R: An Introduction for Biologists. (2nd ed.) OUP. (2017) pbk
Bruce, P. and Bruce, A. Practical Statistics for Data Scientists. O’Reilly. (2017) pdf
Golbeck, A. Equivalence: Elizabeth L. Scott at Berkeley. CRC Press. (2017) pbk
Górniak, K.Z. Statistics Taught Through Fiction Cambridge Scholars Publishing (Newcastle). (2017) hbk
Greenacre , M.J. Correspondence Analysis in Practice. (3rd ed.) CRC Press. (2017) hbk
Kedem, B., De Oliveira, V. and Sverchkov, M. Statistical Data Fusion. World Scientific Publishing. (2017) hbk
Lawson, J. and Erjavec, J. Basic Experimental Strategies and Data Analysis for Science and Engineering. CRC Press. (2017) hbk
Magallenes Reyes, J.M. Introduction to Data Science for Social and Policy Research: Collecting and Organizing Data with R and Python. CUP. (2017) pbk
Mai, J-F. and Scherer, M. (Eds) Simulating copulas: Stochastic models, Sampling Algorithms and Applications. (2ed) (Series in quantitative finance 6) World Scientific. (2017) hbk
Manly, B.F.J. and Navarro Alberto, J.A. Multivariate Statistical Methods: A primer (4th ed). CRC Press. (2017) pbk
Matloff, N. Statistical Regression and Classificiation: From linear models to machine learning. (Texts in Statistical Science) CRC Press. (2017) hbk
Menshikov, M., Popov, S. and Wade, A. Non-homogenous random walks: Lyapunov function methods for near critical stochastic systems. CUP. (2017) hbk
O’Neill, R., Ralph, J. and Smith, P. Inflation: History and Measurement. Palgrave Macmillan. (2017) pdf
Qian, A.S. Environmental and Ecological Statistics with R (2nd ed). CRC Press. (2017) hbk
Renwick, C. Bread for All: The Origins of the Welfare State. Allen Lane. (2017) hbk
Smeeton, N.C. Dental Statistics Made Easy (3rd ed). CRC Press. (2017) pbk
Wilcox, R. Modern Statistics for the Social and Behavioral Sciences (2nd ed). CRC Press. (2017) hbk
Wilmott, P. and Orrell, D. The Money Formula. Wiley. (2017) pbk
Worcester, R., Mortimore, R., Baines, P. and Gill, M. Explaining Cameron's Catastrophe: The Definitive Guide to the 2016 European Referendum. Indie Books. (2017) hbk
Acock, A.C. A Gentle Introduction to Stata (5th ed). Stata Press. (2016) pbk
Aston, P., Mulholland, A. and Tant, K. (eds.) UK Success Stories in Industrial Mathematics. Springer. (2016) hbk
Beer, D. Metric Power. Palgrave Macmillan. (2016) pdf
Fullerton, A.S. and Xu J. Ordered Regression Models: Parallel, partial and non-parallel alternatives (Statistics in the Social and Behavioural Sciences). CRC Press . (2016) hbk
Giné, E. and Nickl, R. Mathematical Foundations of Infinite Dimensional Statistical Models. (Cambridge Series in Statistical and Probabilistic Mathematics) CUP. (2016) hbk
Golbeck, A.L., Olkin, I. and Gel, Y.R. Leadership and Women in Statistics. CRC Press. (2016) hbk
Martin, R. and Liu C. Inferential Models: Reasoning with uncertainty. Monograph on statistics 147. CRC Press. (2016) hbk
McCarroll, D. Simple Statistical Tests for Geography. CRC Press. (2016) pbk
Schweder, T. and Hjort, N.L. Confidence, Likelihood, Probability: Statistical inference with confidence distributions (Cambridge Series in Statistical and Probabilistic Mathematics). CUP. (2016) hbk
Yang, H., Zhang, J., Yu, B. and Zhao, W. Statistical Methods for Immunogenicity Assessment. CRC Press. (2016) hbk
Evans, M. Measuring Statistical Evidence using Relative Belief (Monographs on statistics 144). CRC Press. (2015) hbk
Tseng, G., Ghosh, D. and Zhou, X.J. Integrating Omics Data. CUP. (2015) hbk
van Rensburg, E.J.J. The Statistical Mechanics of Interacting Walks, Polygons, Animals and Vesicles (2nd ed). OUP. (2015) hbk
Chasan-Taber, L. Writing Dissertation and Grant Proposals: Epidemiology, Preventive Medicine and Biostatistics. CRC Press. (2014) pbk
Kallianpur, G. and Sundar, P. Stochastic Analysis and Diffusion Processes. Oxford University Press. (2014) pbk
Pyrcz, M. J. and Deutsch, C. V. Geostatistical Reservoir Modelling. (2nd ed.) OUP. (2014) hbk
Altschuler, R. (Ed) Dancing on the Tails of the Bell Curve: Readings on the Joy and Power of Statistics. Univ Press New England. (2013) pbk