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questions also being discussed. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-Gaussian models and deals;
Vergelijkbare producten zoals Gaussian and Non-Gaussian Linear Time Series and Random Fields
This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates;
Vergelijkbare producten zoals Non-Gaussian Autoregressive-Type Time Series
This book discusses the theory, method and application of non-Gaussian random vibration fatigue analysis and test. The main contents;
Vergelijkbare producten zoals Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;
Vergelijkbare producten zoals Stochastic Analysis for Gaussian Random Processes and Fields
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;
Vergelijkbare producten zoals Stochastic Analysis for Gaussian Random Processes and Fields
. Other chapters focus on non-Gaussian random fields and stochastic simulation methods. The book also presents results based on the author's;
Vergelijkbare producten zoals Random Fields for Spatial Data Modeling
This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable;
Vergelijkbare producten zoals Stable Non-Gaussian Random Processes
Hilbert spaces, random Taylor or Fourier series, Brownian motion and other Gaussian processes, plus certain types of random sets and measures. The;
Vergelijkbare producten zoals Some Random Series of Functions
mixed because they allow fixed and random effects, and they are generalized because they are appropriate for continuous Gaussian responses as;
Vergelijkbare producten zoals Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition
most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation;
Vergelijkbare producten zoals Statistical Modeling Using Local Gaussian Approximation
turns to Markov and non-Markov linear models and discusses Bernoulli shifts time series models. Finally, the volume focuses on the limit theory;
Vergelijkbare producten zoals Stochastic Models for Time Series
the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle;
Vergelijkbare producten zoals Introduction to Time Series Modeling with Applications in R
-weighted integrals, including linear and nonlinear Kalman filters for Gaussian-weighted integrals and particle filters for non-Gaussian cases. The;
Vergelijkbare producten zoals Bayesian Estimation and Tracking
, the Generalized Linear Models are studied. They extend the standard regression model to non-Gaussian distributions. Statistical experiments;
Vergelijkbare producten zoals Statistical Inference in Financial and Insurance Mathematics with R
reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random;
Vergelijkbare producten zoals Simulation of Stochastic Processes with Given Accuracy and Reliability
The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with;
Vergelijkbare producten zoals Weakly Stationary Random Fields, Invariant Subspaces and Applications
The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with;
Vergelijkbare producten zoals Weakly Stationary Random Fields, Invariant Subspaces and Applications
. Level Sets and Extrema of Random Processes and Fields is an excellent book for courses on probability theory, spatial statistics, Gaussian;
Vergelijkbare producten zoals Level Sets and Extrema of Random Processes and Fields
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to;
Vergelijkbare producten zoals Gaussian Markov Random Fields
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to;
Vergelijkbare producten zoals Gaussian Markov Random Fields
This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;
Vergelijkbare producten zoals Gaussian Hilbert Spaces
This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;
Vergelijkbare producten zoals Gaussian Hilbert Spaces
, typically at a more intuitive and less technical level. They also cover some more recent material relating to random algebraic topology and;
Vergelijkbare producten zoals Topological Complexity of Smooth Random Functions
processes Random vibrations Structural reliability and fatigue, Non-Gaussian fatigue Monte Carlo methods Stochastic calculus;
Vergelijkbare producten zoals Stochastic Dynamics and Control
by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for;
Vergelijkbare producten zoals Stochastic Optimal Control of Structures
by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for;
Vergelijkbare producten zoals Stochastic Optimal Control of Structures
; subordinated Gaussian processes; random walk models in biophysical science; non-equilibrium dynamics and diffusion processes; global random walk;
Vergelijkbare producten zoals Statistical Mechanics & Random Walks
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