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  • Search: subject:"Nonparametric estimation of prediction error variance"
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Year of publication
Subject
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Multi-step forecasting 3 Nonparametric estimation of prediction error variance 3 Rolling forecasts 3 Forecasts comparisons 2 Forecast comparisons 1
Online availability
All
Free 2 Undetermined 1
Type of publication
All
Book / Working Paper 2 Article 1
Language
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Undetermined 3
Author
All
Lütkepohl, Helmut 2 Proietti, Tommaso 2 Helmut, Luetkepohl 1 Tommaso, Proietti 1
Institution
All
Business School, University of Sydney 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
International Journal of Forecasting 1 MPRA Paper 1 Working Papers / Business School, University of Sydney 1
Source
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RePEc 3
Showing 1 - 3 of 3
Cover Image
Does the Box-Cox transformation help in forecasting macroeconomic time series?
Lütkepohl, Helmut; Proietti, Tommaso - Business School, University of Sydney - 2011
The paper investigates whether transforming a time series leads to an improvement in forecasting accuracy. The class of transformations that is considered is the Box-Cox power transformation, which applies to series measured on a ratio scale. We propose a nonparametric approach for estimating...
Persistent link: https://www.econbiz.de/10011005057
Saved in:
Cover Image
Does the Box-Cox transformation help in forecasting macroeconomic time series?
Tommaso, Proietti; Helmut, Luetkepohl - Volkswirtschaftliche Fakultät, … - 2011
The paper investigates whether transforming a time series leads to an improvement in forecasting accuracy. The class of transformations that is considered is the Box-Cox power transformation, which applies to series measured on a ratio scale. We propose a nonparametric approach for estimating...
Persistent link: https://www.econbiz.de/10009207092
Saved in:
Cover Image
Does the Box–Cox transformation help in forecasting macroeconomic time series?
Proietti, Tommaso; Lütkepohl, Helmut - In: International Journal of Forecasting 29 (2013) 1, pp. 88-99
The paper investigates whether transforming a time series leads to an improvement in forecasting accuracy. The class of transformations that is considered is the Box–Cox power transformation, which applies to series measured on a ratio scale. We propose a nonparametric approach for estimating...
Persistent link: https://www.econbiz.de/10011051476
Saved in:
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