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Distribution Theory

2013
The theory of distributions has numerous applications and is extensively used in mathematics, physics and engineering. There is however relatively little elementary expository literature on distribution theory. This book is intended as an introduction.
Petre P. Teodorescu   +2 more
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The Theory of Distributions

1958
Publisher Summary The term “distribution” was introduced as a generalization of a mass density that can be represented by a function. Such a distribution on the x-axis can be, for example, a unit mass at the origin and zero density at all other points of a line. The total mass of any segment, including the origin, is one.
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Distributions in signal theory

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The general equation for joint time - frequency distribution functions is reformulated to make it more tractible for the study of the recently found positive distributions.
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A theory of possibility distributions

Fuzzy Sets and Systems, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Theory of distributions

1973
Summary of data; frequency and probability distributions; histograms; samples and populations; distribution types; moments and their calculation; suggested experiments and demonstrations.
J. Murdoch, J. A. Barnes
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The Theory of Distributions

1990
This book is a self-contained introduction to the theory of distributions, sometimes called generalized functions. Most books on this subject are either intuitive or else rigorous but technically demanding. Here, by concentrating on the essential results, the authors have introduced the subject in a way that will most appeal to non-specialists, yet is ...
J. Ian Richards, Heekyung K. Youn
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Theory of Distributions

2004
This chapter is a summary of the basic definitions and results from the theory of distributions or generalized functions which will be used in subsequent chapters. Distribution theory has become a convenient tool in the study of partial differential equations.
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Distribution theory

2000
Abstract A p-dimensional vector random variable, or random vector, x is defined to be the vector x’ = (x1, x2, ••• , xp) whose elements xi are unidimensional random variables. As was indicated in Section 6.3, the rows of a typical data matrix can be viewed as independent realizations of such a random vector.
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The Theory of Distribution

1987
Quesnay’s analysis of prices and markets has important consequences for his theory of the distribution of surplus. It is usually believed that in physiocracy the surplus accrues entirely to the landowners, as rent (see for instance Marx, 1970, vol. I, p. 477; 1967, vol. II, p. 784). The net product also includes the taille, which makes up the sovereign’
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Distribution Theory

This authoritative and comprehensive reference work introduces the reader to the major concepts and leading contributors in the field of institutional and evolutionary economics.
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