✦ LIBER ✦

Potentialities of quantile regression to predict ozone concentrations

✍ Scribed by S. I. V. Sousa; J. C. M. Pires; F. G. Martins; M. C. Pereira; M. C. M. Alvim-Ferraz

Book ID: 102187817
Publisher: John Wiley and Sons
Year: 2009
Tongue: English
Weight: 145 KB
Volume: 20
Category: Article
ISSN: 1180-4009
DOI: 10.1002/env.916

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of ozone concentrations using

Prediction of ozone concentrations using atmospheric variables

✍ Katerina G. Tsakiri; Igor G. Zurbenko 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 English ⚖ 499 KB

Comparison of neural network models with

Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations

✍ Victor R. Prybutok; Junsub Yi; David Mitchell 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 153 KB

Artificial Neural Network Prediction of

Artificial Neural Network Prediction of Tropospheric Ozone Concentrations in Istanbul, Turkey

✍ Fikrat Inal 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 25 KB

Artificial Neural Network Prediction of

Artificial Neural Network Prediction of Tropospheric Ozone Concentrations in Istanbul, Turkey

✍ Fikret Inal 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 796 KB

Potentialities of the application of ozo

Potentialities of the application of ozone-chemoluminescence to assess organic matter concentration in natural water

✍ A. M. Vorontsov; A. P. Patsovskii; M. N. Nikanorova 📂 Article 📅 2011 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 175 KB

Estimation of suspended sediment concent

Estimation of suspended sediment concentration and yield using linear models, random forests and quantile regression forests

✍ T. Francke; J.A. López-Tarazón; B. Schröder 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 486 KB

## Abstract For sediment yield estimation, intermittent measurements of suspended sediment concentration (SSC) have to be interpolated to derive a continuous sedigraph. Traditionally, sediment rating curves (SRCs) based on univariate linear regression of discharge and SSC (or the logarithms thereof