Multivariate Time Series Analysis in Climate and Environmental Research - Image 1

Price loading...

Springer Multivariate Time Series Analysis in Climate and Environmental Research

Name: Multivariate Time Series Analysis in Climate and Environmental Research
Brand: Springer

Ecology

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319673394
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Botany & Plant Sciences > Ecology
Domain: Amazon UK
Release Date: 20 November 2017
Listed Since: 02 August 2017

Barcode

No barcode data available

Springer Multivariate Time Series Analysis in Climate and Environmental Research

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer New Introduction to Multiple Time Series Analysis

Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology and Environmental Engineering: 10/3 (Water Science and Technology Library, 10/3)

Springer Microwave Remote Sensing Tools in Environmental Science

A Guide to Empirical Orthogonal Functions for Climate Data Analysis

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

A Guide to Empirical Orthogonal Functions for Climate Data Analysis

Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models

Springer - Microwave Remote Sensing Tools in Environmental Science

Statistical Analysis of Climate Series: Analyzing, Plotting, Modeling, and Predicting with R

Climate Time Series Analysis: Classical Statistical and Bootstrap Methods: 51 (Atmospheric and Oceanographic Sciences Library, 51)

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Time Series Analysis: Univariate and Multivariate Methods

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Springer Statistical Analysis of Environmental Space-Time Processes

Elements of Multivariate Time Series Analysis (Springer Series in Statistics)

Satellite-based Applications on Climate Change

Satellite-based Applications on Climate Change

New Introduction to Multiple Time Series Analysis

Introduction to Multivariate Analysis (Science Paperbacks)

Spatiotemporal Analysis of Extreme Hydrological Events

Multitemporal Remote Sensing: Methods and Applications: 20 (Remote Sensing and Digital Image Processing, 20)

Change Point Analysis for Time Series (Springer Series in Statistics)

Multivariate Time Series Analysis and Applications (Wiley Series in Probability and Statistics)