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Saddlepoint Approximations with Applications

Modern statistical methods use complex, sophisticated models that can lead to intractable computations. Saddlepoint approximations can be;

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Elements of Distribution Theory

, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group;

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Series Approximation Methods in Statistics

This revised book presents theoretical results relevant to Edgeworth and saddlepoint expansions to densities and distribution functions. It;

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Quantile Processes with Statistical Applications

Provides a comprehensive theory of the approximations of quantile processes in light of recent advan;...

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Nonlinearity Ordinary and Fractional Approximations by Sublinear and Max Produc

multivariate cases. It also explores approximations under convexity and a new trend in approximation theory -approximation by sublinear operators with;

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Tensor Methods in Statistics

This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants;

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Single Variable Calculus

The book is a comprehensive yet compressed entry-level introduction on single variable calculus, foc;...

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New Sinc Methods of Numerical Analysis

, written independently from each other, show the new developments in numerical analysis in connection with Sinc methods and approximations;

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Stochastic Control of Partially Observable Systems

in fact of this type, and deterministic control as well as stochastic control with full observation can only be approximations to the real world;

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Linear Circuits: Systems and Signal Processing

filters, in Japan. It considers rational approximations in circuit and system theory and deals with the digital lattice filters used in digital;

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Linear Circuits: Systems and Signal Processing

filters, in Japan. It considers rational approximations in circuit and system theory and deals with the digital lattice filters used in digital;

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Difference Equations with Applications to Queues

Presents a theory of difference and functional equations with continuous argument based on a generalization of the Riemann integral;

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Neurons

case, enables us to obtain amazingly good rational approximations to the Hecke-Mahler series with two variables. Some interesting numerical;

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Dynamic Programming for Impulse Feedback and Fast Controls

book deals with the problem of closed-loop impulse control based on generalization of dynamic programming techniques in the form of variational;

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation;

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Active Particles, Volume 2

This volume compiles eight recent surveys that present state-of-the-art results in the field of acti;...

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Generalized Linear Models With Examples in R

This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it;

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Runs And Scans With Applications

, and illustrates their important role in reliability analysis through various applications from science and engineering. Runs and Scans with;

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Intermediate Probability

numeric integration, inversion theorems, fast Fourier transforms, saddlepoint approximations, and simulation.* Provides introductory material to;

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Hamilton-Jacobi Equations: Approximations, Numerical Analysis and Applications: Cetraro, Italy 2011, Editors

September 3, 2011. The topic was Hamilton-Jacobi Equations: Approximations, Numerical Analysis and Applications . The courses dealt mostly with the;

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Full 3D Seismic Waveform Inversion

arbitrary 3D geological media and seismic source models. Source codes provided allow readers to experiment with the calculations demonstrated and;

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Diffraction Effects in Semiclassical Scattering

Critical effects in semiclassical scattering, in which the standard approximations break down, are associated with forward peaking;

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Diffraction Effects in Semiclassical Scattering

Critical effects in semiclassical scattering, in which the standard approximations break down, are associated with forward peaking;

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Introduction to Numerical Methods for Time Dependent Differential Equations

partial differential equations (PDEs). Beginning with ODEs and their approximations, the authors provide a crucial presentation of fundamental;

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Stein's Method And Applications

refine and develop the method, but it is still a highly active field of research, with many outstanding problems, both theoretical and;

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Normal Approximations with Malliavin Calculus

means of differential operators. In 2007, the authors discovered that one can combine Stein's method with the powerful Malliavin calculus;

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A Course of Applied Mathematics for Engineers and Physicists

A Course of Applied Mathematics for Engineers and Physicists attempts a synthesis between the various theoretical concepts with the tools;

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