Models for Dependent Time Series Models for Dependent Time Series
    • $1,399.00

Descripción editorial

Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect

GÉNERO
Ciencia y naturaleza
PUBLICADO
2015
29 de julio
IDIOMA
EN
Inglés
EXTENSIÓN
340
Páginas
EDITORIAL
CRC Press
VENDEDOR
Taylor & Francis Group
TAMAÑO
15.5
MB
Introduction to Time Series Modeling with Applications in R Introduction to Time Series Modeling with Applications in R
2020
Hierarchical Modeling and Analysis for Spatial Data Hierarchical Modeling and Analysis for Spatial Data
2025
Robust Small Area Estimation Robust Small Area Estimation
2025
Robust Nonparametric Statistical Methods Robust Nonparametric Statistical Methods
2010
Statistical Methods for Stochastic Differential Equations Statistical Methods for Stochastic Differential Equations
2012
Maximum Likelihood Estimation for Sample Surveys Maximum Likelihood Estimation for Sample Surveys
2012