Fundraising September 15, 2024 – October 1, 2024 About fundraising

Time series analysis with long memory in view

Main
Time series analysis with long memory...

Time series analysis with long memory in view

Hassler, Uwe

0 / 0

How much do you like this book?

What’s the quality of the file?

Download the book for quality assessment

What’s the quality of the downloaded files?

Year:

2019

Publisher:

John Wiley & Sons

Language:

english

ISBN 10:

1119470420

ISBN 13:

9781119470427

Series:

Wiley series in probability and statistics

File:

PDF, 3.43 MB

IPFS:

,

english, 2019

Read Online

Conversion to is in progress

Conversion to is failed

You may be interested in

Bernhard Pfaff — Analysis of Integrated and Cointegrated Time Series with R (Use R)

Cryer J.D., Chan Kung-Sik. — Time Series Analysis: With Applications in R (+Solutions Manual)

Silvio Barra, Salvatore Mario Carta, Andrea Corriga, Alessandro Sebastian Podda, and Diego Reforgiato Recupero — ARTICLE: Deep learning and time series-to-image encoding for financial forecasting

Lambert H. Koopmans — The spectral analysis of time series

M. B. Priestley — Non-linear and Non-stationary Time Series Analysis

Bartos, Bradley J.; McCleary, Richard; McDowall, David — Design and analysis of time series experiments

David McDowall; Richard McCleary; Bradley J. Bartos — Interrupted Time Series Analysis

Ray Huffaker, Marco Bittelli, Rodolfo Rosa — Nonlinear Time Series Analysis with R

John Hunter, Simon P. Burke, Alessandra Canepa (auth.) — Multivariate Modelling of Non-Stationary Economic Time Series

William W.S. Wei — Time Series Analysis : Univariate and Multivariate Methods (2nd Edition)

Genshiro Kitagawa — Introduction to Time Series Modeling with Applications in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Taylor & Francis Group — Recent Advances in Time Series Forecasting

Dr.Arunachalam Rajagopal — Time Series Forecasting with R A Beginner’s Guide

Chris Chatfield — The Analysis of Time Series: An Introduction

Wilfredo Palma — Long-Memory Time Series: Theory and Methods

Aloke Dey, Rahul Mukerjee — Fractional factorial plans

Peter Bloomfield — Fourier Analysis of time series an introduction

Barber D., Cemgil A.T., Chiappa S. (eds.) — Bayesian Time Series Models

Peter Mörters, Yuval Peres — Brownian Motion

Arthur Glenberg, Arthur M. Glenberg, Matthew Andrzejewski — Learning From Data: An Introduction to Statistical Reasoning, Third Edition

Galit Shmueli, Kenneth C. Lichtendahl Jr — Practical Time Series Forecasting with R: A Hands-On Guide, 2nd Edition

Donald B. Percival, Andrew T. Walden — Spectral Analysis for Univariate Time Series

DeWayne R. Derryberry — Basic Data Analysis for Time Series with R

Palma, Wilfredo — Time series analysis

Christian H. Weiss — An Introduction to Discrete-Valued Time Series

Paolella, Marc S — Linear models and time-series analysis : regression, ANOVA, ARMA and GARCH

Hassler, Uwe — Time series analysis with long memory in view

Agung, I Gusti Ngurah — Advanced time series data analysis: forecasting using EViews

Francesca Lazzeri — Machine Learning for Time Series Forecasting with Python

Chris Chatfield, Haipeng Xing — The Analysis of Time Series: An Introduction with R

Oscar Perpinan Lamigueiro — Displaying Time Series, Spatial, and Space-Time Data with R

Tay, Dennis — Time Series Analysis Of Discourse: Method And Case Studies

Jiti Gao — Nonlinear time series, semiparametric and nonparametric methods

Casals, Jose — State-space methods for time series analysis : theory, applications and software

Wayne A. Woodward, Henry L. Gray, Alan C. Elliott — Applied Time Series Analysis with R

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado — Time Series Clustering and Classification

N.D. Lewis — Neural Networks for Time Series Forecasting with R

Walter Zucchini, Iain L. MacDonald — Hidden Markov Models for Time Series: An Introduction Using R

Robert H. Shumway, David S. Stoffer — Time Series Analysis and Its Applications: With R Examples, 4th Edition

Stephen J. Taylor — Modelling Financial Times Series

Chin, Eric, Olafsson, Sverrir, Nel, Dian — Problems and Solutions in Mathematical Finance

Klaus Neusser — Time Series Econometrics

Most frequently terms