𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Calendar effects in structural time series models with trend and season

✍ Scribed by R. Pauly; A. Schell


Publisher
Springer-Verlag
Year
1989
Tongue
English
Weight
531 KB
Volume
14
Category
Article
ISSN
0377-7332

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Modelling time series with season-depend
✍ Yorghos Tripodis; Jeremy Penzer πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 225 KB

## Abstract Time series with season‐dependent autocorrelation structure are commonly modelled using periodic autoregressive moving average (PARMA) processes. In most applications, the moving average terms are excluded for ease of estimation. We propose a new class of periodic unobserved component m

Trend analysis of annual and seasonal ra
✍ Antonia Longobardi; Paolo Villani πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 379 KB

## Abstract Precipitation trend analysis, on different spatial and temporal scales, has been of great concern during the past century because of the attention given to global climate change by the scientific community. According to some recent studies, the Italian territory has been suffering a pre

Temporal aggregation and systematic samp
✍ Pilar GonzΓ‘lez πŸ“‚ Article πŸ“… 1992 πŸ› John Wiley and Sons 🌐 English βš– 540 KB

## Abstract Given a structural time‐series model specified at a basic time interval, this paper deals with the problems of forecasting efficiency and estimation accuracy generated when the data are collected at a timing interval which is a multiple of the time unit chosen to build the basic model.

Trend detection in water quality data us
✍ A. G. Awadallah; Hussam Fahmy; H.G. Karaman πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 509 KB

## Abstract Detection of temporal and spatial trends can be considered one of the primary objectives of environmental monitoring networks. The overall goal of this paper is to make full use of water quality data available on Nile Delta drains in order to support the decision makers in managing the