Most Popular Books by Tom Leonard

For Johann Sebastian there was always music. His family had been musicians, or bachs as they were called in Germany, for 200 years. He always wanted to be a bach. As he grew, he saw patterns in everything. Patterns he would turn into melodies and song, eventually growing into one of the most important and celebrated musical composers of all time. This is the story of Johann Sebastian Bach.

The poet James Thomson was author of the pessimistic masterpiece The City of Dreadful Night, which Hermann Melville described as a modern Book of Job. Born into a millenialist family, reared in a London Scottish orphanage, Thomson was an early member of the Corps of Army schoolmasters. Expelled from the Army for insubordination, he wrote for the weekly freethought National Reformer where he published pioneering translations of Leopardi, versions of Heine, prose satires on Church affairs and biting criticism of the narrowness of contemporary British literature.

Described as a writer of savage indignation and uncomfortable humour, Leonard''s concerns are with language, power, class and politics. This collection of his poetry and prose is taken from the past dozen years and includes a series of pieces he wrote on the Gulf War.

A true coming-of-age story of the 1960s: two mid-teenage boys undertake an eight-hundred-mile bicycle travel adventure through northern Michigan wilderness. They visit all three of the upper Great Lakes. They encounter, now vanished, remnants of Michigan history and view firsthand the changing face of their home state. When they return home they have learned powerful lessons about friendship, self-reliance, and the world they live in.

This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject''s core elements, which can be used as a learning material for students pursuing their studies in undergraduate and graduate levels in universities and colleges and those who want to learn the topic via a short and complete resource. We hope you find this book useful in shaping your future career.

Unquestionably, Tom Leonard remains one of the most influential, innovative, and courageous artists in our history. From the publication of Six Glasgow Poems in 1969 until his death in 2018, Leonard changed the course of literary art in Scotland and beyond, producing poetry, prose, and criticism that would develop, challenge, and illuminate the way his readers conceived of subjects such as language, politics, literature, and class. passing through is, by any standard, a major book - a compilation of work previously uncollected or unpublished, including characteristically beautiful poetry, powerful essays, and perceptive review pieces on artists such as Ezra Pound, William Carlos Williams, and Norman MacCaig. It is a volume which presents the range of Tom Leonard''s artistry: his deep insight, but also the remarkable subtlety, humour, and empathy that permeates all of his writing. This is a reprint of the first edition, produced and edited by Brian Hamill through his publishing imprint the common breath. Brian died soon after the book was published. The original publication would not have been possible without Brian''s input and this edition is dedicated to the memory of Brian Hamill.

An installment to the Here Is series takes young readers on a fascinating safari to the African savanna, where giraffes, lions, elephants, and other creatures reside, and illustrates the ecological community and hierarchy of the animals. Simultaneous.

The problem addressed concerns the estimation of a p-dimensional multivariate density, given only a set of n observation vectors, together with information that the density function is likely to be reasonably smooth. A solution is proposed which employs up to n + 1/2 p(p+1) smoothing parameters, all of which may be estimated by their posterior means. This avoids the well-known difficulties, associated with even one-dimensional kernel estimators, of estimating the bandwidth or smoothing parameter by a mathematical procedure. The posterior mean value function, unconditional upon the smoothing parameters, turns out to be a data-based mixture of multivariate t-distributions. The corresponding estimate of the sampling covariance matrix may be viewed as a shrinkage estimator of the Bayes-Stein type. The results involve some finite series which may be evaluated by straightforward simulation procedure. (Author).

The Bioassay design problem may usefully be considered within an inferential framework, rather than by reference to a formal decision theoretic procedure based upon a number of special assumptions. Three graphical techniques are described to assist the user''s selection of new design points. Firstly, a plot, against dose level, of the predictive probability of the death of the next rat will help the user to choose design points relating to particular regions of LD values; comparison with the maximum likelihood estimate of the response curve leads to informal stopping rules. Secondly, new approximations, to the posterior density of the effective dose, are proposed, for each LD value. These are related to the marginal likelihood ideas of Sprott and Kalbfleisch. Thirdly, mixtures of these densities leads to design measures for the distribution of future dose levels. These seem to make criteria like D-optimality rather tangential to the real design issue. The ideas are illustrated graphically by reference to a fertility example due to Bliss.