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Matheron's Theory of Regionalised Variables (Hardcover): Georges Matheron Matheron's Theory of Regionalised Variables (Hardcover)
Georges Matheron; Edited by Vera Pawlowsky-Glahn, Jean Serra
R2,707 Discovery Miles 27 070 Ships in 12 - 17 working days

In the summer of 1970, Georges Matheron, the father of geostatistics, presented a series of lectures at the Centre de Morphologie Mathmatique in France. These lectures would go on to become Matheron's Theory of Regionalized Variables, a seminal work that would inspire hundreds of papers and become the bedrock of numerous theses and books on the topic; however, despite their importance, the notes were never formally published. In this volume, Matheron's influential work is presented as a published book for the first time. Originally translated into English by Charles Huijbregts, and carefully curated here, this book stays faithful to Matheron's original notes. The text has been ordered with a common structure, and equations and figures have been redrawn and numbered sequentially for ease of reference. While not containing any mathematical technicalities or case studies, the reader is invited to wonder about the physical meaning of the notions Matheron deals with. When Matheron wrote them, he considered the theory of linear geostatistics complete and the book his final one on the subject; however, this end for Matheron has been the starting point for most geostatisticians.

Estimating and Choosing - An Essay on Probability in Practice (Paperback, Softcover reprint of the original 1st ed. 1989): A.... Estimating and Choosing - An Essay on Probability in Practice (Paperback, Softcover reprint of the original 1st ed. 1989)
A. M. Hasofer; Georges Matheron
R1,496 Discovery Miles 14 960 Ships in 10 - 15 working days

Ever since the beginning of modern probability theory in the seventeenth century there has been a continuous debate over the meaning and applicability of the concept of probability. This book presents a coherent and well thoughtout framework for the use of probabilistic models to describe unique phenomena in a purely objective way. Although "Estimating and" "Choosing" was written with geostatistical applications in mind, the approach is of general applicability across the whole spectrum of probabilistic modelling. The only full-fledged treatment of the foundations of practical probability modelling ever written, this book fills an important gap in the literature of probability and statistics.

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