Vols. for 1871-76, 1913-14 include an extra number, The Christmas bookseller, separately paged and not included in the consecutive numbering of the regular series.

Principal component analysis is probably the oldest and best known of the It was first introduced by Pearson (1901), techniques ofmultivariate analysis. and developed independently by Hotelling (1933). Like many multivariate methods, it was not widely used until the advent of electronic computers, but it is now weIl entrenched in virtually every statistical computer package. The central idea of principal component analysis is to reduce the dimen sionality of a data set in which there are a large number of interrelated variables, while retaining as much as possible of the variation present in the data set. This reduction is achieved by transforming to a new set of variables, the principal components, which are uncorrelated, and which are ordered so that the first few retain most of the variation present in all of the original variables. Computation of the principal components reduces to the solution of an eigenvalue-eigenvector problem for a positive-semidefinite symmetrie matrix. Thus, the definition and computation of principal components are straightforward but, as will be seen, this apparently simple technique has a wide variety of different applications, as weIl as a number of different deri vations. Any feelings that principal component analysis is a narrow subject should soon be dispelled by the present book; indeed some quite broad topics which are related to principal component analysis receive no more than a brief mention in the final two chapters.

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First published in 1918, William Strunk Jr.'s The Elements of Style is a guide to writing in American English. The boolk outlines eight "elementary rules of usage", ten "elementary principles of composition", "a few matters of form", a list of 49 "words and expressions commonly misused", and a list of 57 "words often misspelled". A later edition, enhanced by E B White, was named by Time magazine in 2011 as one of the 100 best and most influential books written in English since 1923.

Human error is involved in more than 90 percent of traffic accidents, and of those accidents, most are associated with visual distractions, or looking-but-failing-to-see errors. Human Factors of Visual and Cognitive Performance in Driving gathers knowledge from a human factors psychology standpoint and provides deeper insight into traffic -user beh