✦ LIBER ✦

A new forecasting model for nonstationary environmental data

✍ Scribed by Shou Hsing Shih; Chris P. Tsokos

Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 828 KB
Volume: 71
Category: Article
ISSN: 0362-546X
DOI: 10.1016/j.na.2009.01.242

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A New Forecasting Model for Agricultural

A New Forecasting Model for Agricultural Commodities

✍ He Yong 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 316 KB

Bayesian dynamic modelling for nonstatio

Bayesian dynamic modelling for nonstationary hydroclimatic time series forecasting along with uncertainty quantification

✍ D. Nagesh Kumar; Rajib Maity 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 231 KB 👁 1 views

## Abstract Forecasting of hydrologic time series, with the quantification of uncertainty, is an important tool for adaptive water resources management. Nonstationarity, caused by climate forcing and other factors, such as change in physical properties of catchment (urbanization, vegetation change,

Modeling and forecasting tourism demand

Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention

✍ Carey Goh; Rob Law 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 494 KB

This paper presents the use of time series SARIMA and MARIMA with interventions in forecasting tourism demand using ten arrival series for Hong Kong. Augmented Dickey-Fuller tests indicated that all the series were seasonal nonstationary. Significant interventions such as relaxation of the issuance

A general purpose univariate probability

A general purpose univariate probability model for environmental data analysis

✍ Wayne R Ott; David T Mage 📂 Article 📅 1976 🏛 Elsevier Science 🌐 English ⚖ 763 KB

A model for forecasting traffic accident

A model for forecasting traffic accidents

✍ N.O. Jørgensen 📂 Article 📅 1969 🏛 Elsevier Science 🌐 English ⚖ 448 KB

## SCOPE OF THE REPORT IN THE planning of the construction stages of a motorway scheme in Jutland, Denmark, it was considered necessary to evaluate the traffic safety implications of different choices of the construction stages. For that purpose a crude model for the occurrence of accidents on rur

A linear forecasting model and its appli

A linear forecasting model and its application to economic data

✍ Georg Peters 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 161 KB

## Abstract We present a forecasting model based on fuzzy pattern recognition and weighted linear regression. In this model fuzzy pattern recognition is used to find homogeneous fuzzy classes in a heterogeneous data set. It is assumed that the classes represent typical situations. For each class a