Advances in Time Series Methods and Applications

The A. Ian McLeod Festschrift

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
Cover of the book Advances in Time Series Methods and Applications by , Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781493965687
Publisher: Springer New York Publication: December 2, 2016
Imprint: Springer Language: English
Author:
ISBN: 9781493965687
Publisher: Springer New York
Publication: December 2, 2016
Imprint: Springer
Language: English

This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original contributions to the field and to related areas by participants of the festschrift held in June 2014 and friends of Dr. McLeod. Covering a diverse range of state-of-the-art topics, this volume well balances applied and theoretical research across fourteen contributions by experts in the field. It will be of interest to researchers and practitioners in time series, econometricians, and graduate students in time series or econometrics, as well as environmental statisticians, data scientists, statisticians interested in graphical models, and researchers in quantitative risk management.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original contributions to the field and to related areas by participants of the festschrift held in June 2014 and friends of Dr. McLeod. Covering a diverse range of state-of-the-art topics, this volume well balances applied and theoretical research across fourteen contributions by experts in the field. It will be of interest to researchers and practitioners in time series, econometricians, and graduate students in time series or econometrics, as well as environmental statisticians, data scientists, statisticians interested in graphical models, and researchers in quantitative risk management.

More books from Springer New York

Cover of the book Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks by
Cover of the book Optic Nerve Disorders by
Cover of the book Molecular Genetics of Liver Neoplasia by
Cover of the book Residue Reviews by
Cover of the book The Social Construction of the Person by
Cover of the book Handbook of Food Fortification and Health by
Cover of the book Hyperspectral Image Fusion by
Cover of the book Stress Proof the Heart by
Cover of the book Continuum Mechanics of Anisotropic Materials by
Cover of the book Psychological Aspects of Early Breast Cancer by
Cover of the book Environmental Analysis by Electrochemical Sensors and Biosensors by
Cover of the book Error Control for Network-on-Chip Links by
Cover of the book Mental Modeling Approach by
Cover of the book Global Food Security and Wellness by
Cover of the book Archaeological Practice in Great Britain by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy