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Multidimensional Stationary Time Series

This book gives a brief survey of the theory of multidimensional (multivariate), weakly stationary time series, with emphasis on dimension;

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Non-Gaussian Autoregressive-Type Time Series

-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian;

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Multivariate Modelling of Non Stationary Economic Time Series

This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on;

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Hilbert And Banach Space-valued Stochastic Processes

of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random;

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Turbocharger Integration into Multidimensional Engine Simulations to Enable Transient Load Cases

Despite the increasing interest in multidimensional combustion engine simulation from researchers and industry, the field of application;

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Introduction to Time Series Modeling

stationary time series models, such as AR and ARMA models, as well as nonstationary time series models, including the locally stationary AR model;

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Time Series Analysis and Forecasting by Example

, including: * Graphical tools in time series analysis * Procedures for developing stationary, non-stationary, and seasonal models * How to choose the;

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Introduction to Time Series Modeling with Applications in R

stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build;

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Digital Spectral Analysis

methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based;

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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It;

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Time Series Econometrics

introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation;

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Multiscale Forecasting Models

This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies. The;

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Multiscale Forecasting Models

This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies. The;

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Regularity Theory for Mean-Field Game Systems

theory for MFGs. It then introduces a series of techniques for well-posedness in the context of mean-field problems, including stationary and;

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An Introduction to Applied Econometrics

central distinction between stationary and nonstationary time series, which is of crucial importance in many areas of analysis, especially;

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Multivariate Time Series Analysis

illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR;

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Forecasting Economic Time Series using Locally Stationary Processes

Stationarity has always played an important part in forecasting theory. However, some economic time series show time-varying;

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Multidimensional Time

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Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

understand what is possible and what is not possible to do for stationary time series. The considered problems include homogeneity testing (the so;

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Non-Stationary Electromagnetics

This book is devoted to investigations of non-stationary electromagnetic processes. It offers a good opportunity to introduce the Volterra;

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Analysis And Control Of Nonlinear Systems With Stationary Sets

Nonlinear systems with stationary sets are important because they cover a lot of practical systems in engineering. Previous analysis has;

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Modelling Non-Stationary Economic Time Series

Co-integration, equilibrium and equilibrium correction are key concepts in modern applications of ec;...

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Introduction to Time Series and Forecasting

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics;

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Modelling Non-Stationary Economic Time Series

Co-integration, equilibrium and equilibrium correction are key concepts in modern applications ;...

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Fourier Series in Several Variables with Applications to Partial Differential Equations

Fourier Series in Several Variables with Applications to Partial Differential Equations illustrates the value of Fourier series methods;

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Fourier Series in Several Variables with Applications to Partial Differential Equations

Fourier Series in Several Variables with Applications to Partial Differential Equations illustrates the value of Fourier series methods;

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Piping and Pipelines Assessment Guide

Whether it's called fixed equipment (at ExxonMobil), stationary equipment (at Shell), or static equipment (in Europe), this type;

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