Momentum Distributions, Richard N. Silver; Paul E. Sokol

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Автор: Simon
Название: Distributions
ISBN: 1786300109 ISBN-13(EAN): 9781786300102
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

This book is the second of a set dedicated to the mathematical tools used in partial differential equations derived from physics. It presents the properties of continuous functions, which are useful for solving partial differential equations, and, more particularly, for constructing distributions valued in a Neumann space. The author examines partial derivatives, the construction of primitives, integration and the weighting of value functions in a Neumann space. Many of them are new generalizations of classical properties for values in a Banach space. Simple methods, semi-norms, sequential properties and others are discussed, making these tools accessible to the greatest number of students - doctoral students, postgraduate students - engineers and researchers, without restricting or generalizing the results.

Автор: Karl W. B?er
Название: Electro-Optical Effects to Visualize Field and Current Distributions in Semiconductors
ISBN: 364203439X ISBN-13(EAN): 9783642034398
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book describes the basic principles that relate to field and current inhomogeneities in semiconductors and their kinetics that occur in the regime of negative differential conductances of semiconductors.

Автор: Richard N. Silver; Paul E. Sokol
Название: Momentum Distributions
ISBN: 0306433648 ISBN-13(EAN): 9780306433641
Издательство: Springer
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Цена: 28734.00 р.
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Автор: N. Balakrishnan; W.S. Chen
Название: Handbook of Tables for Order Statistics from Lognormal Distributions with Applications
ISBN: 0792357124 ISBN-13(EAN): 9780792357124
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Presents elaborate tables of moments of order statistics as well as BLUES based on complete and censored samples for lognormal distributions. This book includes various illustrative examples for the different uses of these tables pertaining to inference and prediction.

Автор: Peter Buchholz; Jan Kriege; Iryna Felko
Название: Input Modeling with Phase-Type Distributions and Markov Models
ISBN: 3319066730 ISBN-13(EAN): 9783319066738
Издательство: Springer
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Цена: 6986.00 р.
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Автор: Lene Kristian Bryngemark
Название: Search for New Phenomena in Dijet Angular Distributions at ?s = 8 and 13 TeV
ISBN: 3319673459 ISBN-13(EAN): 9783319673455
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This thesis describes the use of the angular distributions of the most energetic dijets in data recorded by the ATLAS experiment, at CERN`s Large Hadron Collider (LHC), the goal of which is to search for phenomena beyond what the current theory of Particle Physics (the Standard Model) can describe.

Автор: Pett Marjorie A.
Название: Nonparametric Statistics in Health Care Research: Statistics for Small Samples and Unusual Distributions
ISBN: 1452281963 ISBN-13(EAN): 9781452281964
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание: This book is ideal for looking at research undertaken with limited funds, using a small sample of convenience, in a health care setting with the primary objective of improving client care and obtaining better client outcomes.

Автор: Olivier Thas
Название: Comparing Distributions
ISBN: 1461424496 ISBN-13(EAN): 9781461424499
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This volume provides a theoretical treatment of a wide range of goodness-of-fit statistical methods. By comparing techniques for both one-sample and k-sample problems, the text offers a wider perspective that considers graphic and estimation parameters, and emphasizes their theoretical similarities.