✦ LIBER ✦

Space–time modeling of vertical ozone profiles

✍ Scribed by Jaeyong Lee; James O. Berger

Publisher: John Wiley and Sons
Year: 2003
Tongue: English
Weight: 388 KB
Volume: 14
Category: Article
ISSN: 1180-4009
DOI: 10.1002/env.608

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Space–time modeling of rainfall data

✍ Luis Guillermo Coca Velarde; Hélio S. Migon; Basilio de B. Pereira 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB

Modeling transport effects on ground-lev

Modeling transport effects on ground-level ozone using a non-stationary space–time model

✍ Hsin-Cheng Huang; Nan-Jung Hsu 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 365 KB

A space-time analysis of ground-level oz

A space-time analysis of ground-level ozone data

✍ Peter Guttorp; Wendy Meiring; Paul D. Sampson 📂 Article 📅 1994 🏛 John Wiley and Sons 🌐 English ⚖ 849 KB

Space-time mixture modelling of public h

Space-time mixture modelling of public health data

✍ Dankmar Böhning; Ekkehart Dietz; Peter Schlattmann 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 360 KB 👁 2 views

Space—time zero-inflated count models of

Space—time zero-inflated count models of Harbor seals

✍ Jay M. Ver Hoef; John K. Jansen 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 360 KB

A general class of nonseparable space–ti

A general class of nonseparable space–time covariance models

✍ Thaís C. O. Fonseca; Mark F. J. Steel 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 633 KB

The aim of this work is to construct nonseparable, stationary covariance functions for processes that vary continuously in space and time. Stochastic modelling of phenomena over space and time is important in many areas of application. But choice of an appropriate model can be difficult as we need t