Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51) - Image 1

Price loading...

Cambridge University Press Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)

Name: Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)
Brand: Cambridge University Press

Computer Science

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

Spectral analysis is widely used to interpret time series collected in diverse areas. This book covers the statistical theory behind spectral analysis and provides data analysts with the tools needed to transition theory into practice. Actual time series from oceanography, metrology, atmospheric science and other areas are used in running examples throughout, to allow clear comparison of how the various methods address questions of interest. All major nonparametric and parametric spectral analysis techniques are discussed, with emphasis on the multitaper method, both in its original formulation involving Slepian tapers and in a popular alternative using sinusoidal tapers. The authors take a unified approach to quantifying the bandwidth of different nonparametric spectral estimates. An extensive set of exercises allows readers to test their understanding of theory and practical analysis. The time series used as examples and R language code for recreating the analyses of the series are available from the book's website.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1107028140
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 19 March 2020
Listed Since: 02 May 2019

Barcode

No barcode data available

Cambridge University Press Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Cambridge University Press - Spectral Analysis for Physical Applications

The Spectral Analysis of Time Series (Probability & Mathematical Statistics S.)

Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)

Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications

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

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

Spectral Analysis and Filter Theory in Applied Geophysics

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

Statistical Analysis in Climate Research

Spectral Analysis and Time Series, Two-Volume Set: Volumes I and II (Volume 1-2) (Probability and Mathematical Statistics, Volume 1-2)

Time-Series Analysis: A Comprehensive Introduction for Social Scientists

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

Univariate Time Series in Geosciences: Theory and Examples

Univariate Time Series in Geosciences: Theory and Examples

Time Series Analysis and Inverse Theory for Geophysicists

Time-Series Anl & Cyclostratigraphy: Examining Stratigraphic Records of Environmental Cycles

Spectral Analysis and Filter Theory in Applied Geophysics

Time Series with Mixed Spectra: Theory and Methods

Time Series Analysis: Univariate and Multivariate Methods

Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)

Time Series for Economics and Finance

Statistical Methods for Climate Scientists

Computational Statistics in the Earth Sciences: With Applications in MATLAB

Wiley Time Series Analysis - Probability and Statistics Book