Zobrazeno 1 - 10
of 1 404
pro vyhledávání: '"forecast evaluation"'
Publikováno v:
Genus, Vol 80, Iss 1, Pp 1-21 (2024)
Abstract Assessing future demand for a wide range of services requires good quality population forecasts. Unfortunately, many past forecasts of the Aboriginal and Torres Strait Islander (Indigenous) population of Australia have proved highly inaccura
Externí odkaz:
https://doaj.org/article/13f476856c7d4983b3ab24a4b4dfbd63
Publikováno v:
Agricultural Finance Review, 2024, Vol. 84, Issue 2/3, pp. 165-174.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AFR-10-2023-0138
Publikováno v:
Research in Statistics, Vol 2, Iss 1 (2024)
The error coefficients [Formula: see text], [Formula: see text], and the linear model measures r and R2 are used in several disciplines to quantify the agreement between predicted and observed numerical data. Typical applications include forecast ver
Externí odkaz:
https://doaj.org/article/93b5e0a6579d4e4791d628a5a0566645
Autor:
Martin Časta
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39112- (2024)
This paper presents a dynamic model averaging approach for forecasting nominal exchange rates. This framework encompasses most of the approaches commonly used in the forecasting literature and also allows us to study parameters and model uncertainty
Externí odkaz:
https://doaj.org/article/3246ecefc18345c392c05fede5d74d12
Autor:
Wei QIAO, Mengnan LIU, Xiangsheng MENG, Xianggang CHENG, Peichao FENG, Xiaoqin LI, Wenping LI
Publikováno v:
Meitan xuebao, Vol 49, Iss 4, Pp 2031-2044 (2024)
The occurrence of mine water inrushes is common and poses significant hazards in various mining areas throughout China. However, the existing regulations lack of specific engineering geological and hydrogeological exploration guidelines tailored to t
Externí odkaz:
https://doaj.org/article/8c3b76967c3b4db19b8c45cf3b833f49
Autor:
Poghosyan, Armine
Chapter 1 examines alternative specifications of futures-based forecasting models to improve upon existing approaches constrained by restrictive assumptions and limited information sets. We replace historical averages with rolling regressions and inc
Externí odkaz:
https://hdl.handle.net/10919/120985
Autor:
Masilin Gudoshava, Patricia Nyinguro, Joshua Talib, Caroline Wainwright, Anthony Mwanthi, Linda Hirons, Felipe deAndrade, Joseph Mutemi, Wilson Gitau, Elisabeth Thompson, Jemimah Gacheru, John Marsham, Hussen Seid Endris, Steven Woolnough, Zewdu Segele, Zachary Atheru, Guleid Artan
Publikováno v:
Meteorological Applications, Vol 31, Iss 5, Pp n/a-n/a (2024)
Abstract In recent years, Eastern Africa has been severely impacted by extreme climate events such as droughts and flooding. In a region where people's livelihoods are heavily dependent on climate conditions, extreme hydrometeorological events can ex
Externí odkaz:
https://doaj.org/article/28e8655ac39e4c41a5440d84d36dfa86
Publikováno v:
Forecasting, Vol 6, Iss 1, Pp 115-137 (2024)
This research proposes an investigative experiment employing binary classification for short-term electricity price spike forecasting. Numerical definitions for price spikes are derived from economic and statistical thresholds. The predictive task em
Externí odkaz:
https://doaj.org/article/812b6fd1537e4752bdc903d26194702a
Publikováno v:
Fulbright Review of Economics and Policy, 2023, Vol. 3, Issue 1, pp. 49-73.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/FREP-04-2022-0030
Publikováno v:
Fulbright Review of Economics and Policy, Vol 3, Iss 1, Pp 49-73 (2023)
Purpose – This study aims to examine the ability of clean energy stocks to provide cover for investors against market risks related to climate change and disturbances in the oil market. Design/methodology/approach – The study adopts the feasible
Externí odkaz:
https://doaj.org/article/070b76c7298347e3b232f5992ccd78a5