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Book
A handbook of generalized special functions for statistical and physical sciences
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ISBN: 0198535953 9780198535959 Year: 1993 Publisher: Oxford: Clarendon,

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Jacobians of matrix transformations and functions of matrix argument
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ISBN: 9810230958 Year: 1997 Publisher: Singapore World Scientific

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Book
Soem characterizations of the one-parameter family of probability distributions
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Year: 1966 Publisher: S.l. s.n.

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Probability and statistics
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ISBN: 1349027677 Year: 1977 Publisher: London : Palgrave Macmillan,

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Book
Special functions for applied scientists
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ISBN: 1281216577 9786611216573 0387758941 Year: 2008 Publisher: New York : Springer Science+Business Media,

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Special Functions for Applied Scientists provides the required mathematical tools for researchers active in the physical sciences. The book presents a full suit of elementary functions for scholars at the PhD level and covers a wide-array of topics and begins by introducing elementary classical special functions. From there, differential equations and some applications into statistical distribution theory are examined. The fractional calculus chapter covers fractional integrals and fractional derivatives as well as their applications to reaction-diffusion problems in physics, input-output analysis, Mittag-Leffler stochastic processes and related topics. The authors then cover q-hypergeometric functions, Ramanujan's work and Lie groups. The latter half of this volume presents applications into stochastic processes, random variables, Mittag-Leffler processes, density estimation, order statistics, and problems in astrophysics. Professor Dr. A.M. Mathai is Emeritus Professor of Mathematics and Statistics, McGill University, Canada. Professor Dr. Hans J. Haubold is an astrophysicist and chief scientist at the Office of Outer Space Affairs of the United Nations.


Book
Basic concepts in information theory and statistics : axiomatic foundations and applications
Authors: ---
ISBN: 0852265573 9780852265574 Year: 1975 Publisher: New York: Wiley,


Book
Quadratic forms in random variables : theory and applications
Authors: ---
ISBN: 0824786912 Year: 1992 Volume: vol v. 126 Publisher: New York Basel Hong Kong Marcel Dekker


Book
Fractional and Multivariable Calculus : Model Building and Optimization Problems
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ISBN: 3319599933 3319599925 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This textbook presents a rigorous approach to multivariable calculus in the context of model building and optimization problems. This comprehensive overview is based on lectures given at five SERC Schools from 2008 to 2012 and covers a broad range of topics that will enable readers to understand and create deterministic and nondeterministic models. Researchers, advanced undergraduate, and graduate students in mathematics, statistics, physics, engineering, and biological sciences will find this book to be a valuable resource for finding appropriate models to describe real-life situations. The first chapter begins with an introduction to fractional calculus moving on to discuss fractional integrals, fractional derivatives, fractional differential equations and their solutions. Multivariable calculus is covered in the second chapter and introduces the fundamentals of multivariable calculus (multivariable functions, limits and continuity, differentiability, directional derivatives and expansions of multivariable functions). Illustrative examples, input-output process, optimal recovery of functions and approximations are given; each section lists an ample number of exercises to heighten understanding of the material. Chapter three discusses deterministic/mathematical and optimization models evolving from differential equations, difference equations, algebraic models, power function models, input-output models and pathway models. Fractional integral and derivative models are examined. Chapter four covers non-deterministic/stochastic models. The random walk model, branching process model, birth and death process model, time series models, and regression type models are examined. The fifth chapter covers optimal design. General linear models from a statistical point of view are introduced; the Gauss–Markov theorem, quadratic forms, and generalized inverses of matrices are covered. Pathway, symmetric, and asymmetric models are covered in chapter six, the concepts are illustrated with graphs. .

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