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CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications

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First derived within the context of life-testing, inverse Gaussian distribution has become one of the most important and widely employed distributions, and is often used to model the lifetimes of components. It is also used as a model in many varied applications, including fatigue analysis, economic prediction analysis, and the analysis of extreme events such as rainfall and flood levels. The interesting features and properties of this distribution make it an important and realistic model in a variety of problems across numerous disciplines. Because of the broad range of applications, this handbook will be useful not only to members of the statistical community but will also appeal to applied scientists, engineers, econometricians, and anyone who desires a thorough evaluation of this important topic.
Category: Mathematics. ISBN: 9780849331183

Bipartite Graphs and their Applications

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This book treats the fundamental mathematical properties that hold for a family of Gaussian random variables.
Category: Mathematics. ISBN: 9780521593458

Quantum Information Ii

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This volume constitutes the proceedings of the Second International Conference on Quantum Information, held at Meijo University, Japan, in 1999. Topics addressed include: CKS-space in terms of growth functions; Gaussian processes and Gaussian random fields; and more.
Category: Science. ISBN: 9789810243173

The Oxford Handbook of Credit Derivatives

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Provides a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. It covers statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation.
Category: Business. ISBN: 9780199546787

The Oxford Handbook of Credit Derivatives

www.ebooks.com/cj.asp?IID=2540323&cjsku=2540323...
Provides a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. It covers statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation.
Category: Business. ISBN: 9780199546787

An Introduction to Probability and Stochastic Processes

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Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov processes, and stochastic differential equations. 1973 edition.
Category: Mathematics. ISBN: 9780486490991

Elementary Theory of Numbers

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Superb introduction to Euclidean algorithm and its consequences, congruences, continued fractions, powers of an integer modulo m, Gaussian integers, Diophantine equations, more. Problems, with answers. Bibliography.
Category: Mathematics. ISBN: 9780486663487

Upper and Lower Bounds for Stochastic Processes

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In addition to its central focus on generic chaining, which allows for optimal bounds in Gaussian and Bernoulli processes, this volume on modern stochastic methods includes key applications and a variety of complete solutions to a number of classical problems.
Category: Mathematics. ISBN: 9783642540745

Statistical Inference for Discrete Time Stochastic Processes

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This book offers an overview of statistical inference in stationary, discrete time stochastic processes. It reviews results in the last fifteen years, particularly on non-Gaussian sequences and semi-parametric and non-parametric analysis
Category: Mathematics. ISBN: 9788132207627

The Uncertainty in Physical Measurements

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An introduction to the treatment of uncertainty in a phenomenological way, based on examples taken from laboratory experience and distinguishing the causes of uncertainty (there are more than just random errors and Gaussian distributions to consider).
Category: Technology. ISBN: 9780387786490
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