scholarly article | Q13442814 |
P356 | DOI | 10.1002/ETC.3922 |
P698 | PubMed publication ID | 28833517 |
P50 | author | Kevin V Brix | Q88362844 |
William Adams | Q88893583 | ||
David K DeForest | Q89745898 | ||
P2093 | author name string | Lucinda M Tear | |
P2860 | cites work | Response of fish and macroinvertebrate bioassessment indices to water chemistry in a mined Appalachian watershed | Q33280088 |
CHRONIC TOXICITY OF ALUMINUM, AT A PH OF 6, TO FRESHWATER ORGANISMS: EMPIRICAL DATA FOR THE DEVELOPMENT OF INTERNATIONAL REGULATORY STANDARDS/CRITERIA. | Q38698969 | ||
Use of Multiple Linear Regression Models for Setting Water Quality Criteria for Copper: A Complementary Approach to the Biotic Ligand Model | Q38836945 | ||
Development and application of a biotic ligand model for predicting the chronic toxicity of dissolved and precipitated aluminum to aquatic organisms. | Q47697690 | ||
Evaluating the effects of pH, hardness, and dissolved organic carbon on the toxicity of aluminum to freshwater aquatic organisms under circumneutral conditions | Q47917766 | ||
Multimodel Inference: Understanding AIC and BIC in Model Selection | Q56390541 | ||
A protocol for data exploration to avoid common statistical problems | Q60015513 | ||
P433 | issue | 1 | |
P921 | main subject | aluminium | Q663 |
fresh water | Q102192 | ||
water quality | Q625376 | ||
linear regression | Q10861030 | ||
P304 | page(s) | 80-90 | |
P577 | publication date | 2017-08-22 | |
P1433 | published in | Environmental Toxicology and Chemistry | Q3726418 |
P1476 | title | MULTIPLE LINEAR REGRESSION (MLR) MODELS FOR PREDICTING CHRONIC ALUMINUM TOXICITY TO FRESHWATER AQUATIC ORGANISMS AND DEVELOPING WATER QUALITY GUIDELINES. | |
P478 | volume | 37 |