Terrence L. Fine's Books

Theories of Probability

An Examination of Foundations

By: Terrence L. Fine

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Theories of Probability

An Examination of Foundations

By: Terrence L. Fine

Theories of Probability: An Examination of Foundations reviews the theoretical foundations of probability, with emphasis on concepts that are important for the modeling of random phenomena and the design of information processing systems. Topics covered range from axiomatic comparative and quantitative probability to the role of relative frequency in the measurement of probability. Computational complexity and random sequences are also discussed. Comprised of nine chapters, this book begins with an introduction to different types of probability theories, followed by a detailed account of axiomatic formalizations of comparative and quantitative probability and the relations between them. Subsequent chapters focus on the Kolmogorov formalization of quantitative probability; the common interpretation of probability as a limit of the relative frequency of the number of occurrences of an event in repeated, unlinked trials of a random experiment; an improved theory for repeated random experiments; and the classical theory of probability. The book also examines the origin of subjective probability as a by-product of the development of individual judgments into decisions. Finally, it suggests that none of the known theories of probability covers the whole domain of engineering and scientific practice. This monograph will appeal to students and practitioners in the fields of mathematics and statistics as well as engineering and the physical and social sciences.

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Page Count

276

Publisher

Academic Press

Published Date

ISBN 10

1483263894

ISBN 13

9781483263892

Feedforward Neural Network Methodology

By: Terrence L. Fine

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Feedforward Neural Network Methodology

By: Terrence L. Fine

This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.

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Page Count

353

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387226494

ISBN 13

9780387226491

Injury and the New World of Work

By: Terrence Sullivan

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Injury and the New World of Work

By: Terrence Sullivan

Over the last fifty years the nature of work and work injury has changed dramatically. Since the 1980s, workers' compensation claims have grown steadily and insurance institutions are feeling the crunch. In Injury and the New World of Work, Terrence Sullivan emphasizes the precarious line between the expansion of needs-based justice and the preservation of work-based prosperity. The contributors to the book examine a broad range of research solutions and policy options for dealing with the critical state of workers' compensation. The essays draw on recent case studies and original empirical work from Canada, situating the book within a comparative international frame of reference.

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Page Count

369

Publisher

UBC Press

Published Date

ISBN 10

0774841370

ISBN 13

9780774841375

Book's by Terrence L. Fine

Theories of Probability

Theories of Probability

Feedforward Neural Network Methodology

Feedforward Neural Network Methodology

Injury and the New World of Work

Injury and the New World of Work

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