✦ LIBER ✦

A Comparison of Four Spatial Regression Models for Yield Monitor Data: A Case Study from Argentina

✍ Scribed by Dayton M. Lambert; James Lowenberg-Deboer; Rodolfo Bongiovanni

Publisher: Springer US
Year: 2004
Tongue: English
Weight: 914 KB
Volume: 5
Category: Article
ISSN: 1385-2256
DOI: 10.1007/s11119-004-6344-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Kalman filter for updating the coefficie

Kalman filter for updating the coefficients of regression models. A case study from an activated sludge waste-water treatment plant

✍ Pekka Teppola; Satu-Pia Mujunen; Pentti Minkkinen 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 449 KB

A Kalman filter was developed to overcome the problems caused by process drifting. Different types of models were used to predict response variables of an activated sludge waste-water treatment plant. These models were constructed using MLR, PCR, and PLS. The MLR-type regression coefficients were ca

The effects of different input data and

The effects of different input data and their spatial resolution on the results obtained from a conceptual nutrient emissions model: the River Stör case study

✍ Markus Venohr; Horst Behrendt; Winfrid Kluge 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 538 KB

## Abstract This paper focuses on the influences of different data sources, and the variation in spatial resolution of input data and analysis, on the calculated nutrient emissions using the conceptual model MONERIS. MONERIS calculates both nitrogen and phosphorus emissions from point and diffuse s