Robert Hogg (1817-97), son of a Scots nurseryman, was destined for a career in medicine, but abandoned his studies to pursue horticulture. Employed by a famous London tree nursery, he travelled widely in Britain and Europe to study gardening practice. This work, first published in 1851, was intended to encourage a taste for the 'most important, most instructive, and intellectual branch of horticultural science' - the cultivation of fruit. (The book is subtitled 'The Apple', as though further volumes on other fruit were intended, but none appeared, though Hogg did publish The Fruit Manual (also reissued in this series) in 1860.) It lists and gives detailed descriptions, including drawings, of 401 apples in cultivation in Great Britain, and a further 541 of which Hogg had no direct knowledge. He provides classification lists by fruit colour, shape, seasonality and region - a fascinating resource for the history of horticulture and of food.

Robert Hogg (1818-97) was a British nurseryman and an early secretary of the Royal Horticultural Society: a prize medal is named in his honour. Born in Berwickshire, Hogg trained in medicine at Edinburgh before following his father into fruit tree cultivation, and became joint editor of the Cottage Gardener, later the Journal of Horticulture. In 1851, he published The British Pomology (also reissued in this series): this work, on apples, was apparently intended as a study of British fruit trees, but no further volumes followed. Instead, in 1860, Hogg published this comprehensive catalogue of British fruit, which ran to five, increasingly extended, editions over the next twenty-five years. It became the standard reference work, and was even plagiarised in Scott's Orchardist: however Hogg sued and obtained an injunction preventing further sales. Hogg promoted systematic work in the Royal Horticultural Society and was instrumental in setting up its fruit committee.

For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics. An authoritative introduction to an in-demand field Advances in computing technology – particularly in science and business – have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Editionemphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required.

For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required. Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

For courses in mathematical statistics. Comprehensive coverage of mathematical statistics - with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text's flexible organisation makes it ideal for a range of mathematical statistics courses. Substantial changes to the 8th Edition - many based on user feedback - help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented.