||Statistical Approach to Predicting Chronic Toxicity of Chemicals to Fishes from Acute Toxicity Test Data (for Microcomputers).
||Environmental Research Lab., Gulf Breeze, FL.
Water pollution effects ;
Chemical compounds ;
Least squares method ;
Time series analysis ;
Statistical analysis ;
Fish physiology ;
Risk assessment ;
Aquatic ecosystems ;
Multifactor probit analysis
||Some EPA libraries have a fiche copy filed under the call number shown.
||A methodology was developed to predict chronic toxicity based on acute data. The method is called Multifactor Probit Analysis (MPA) and uses the iteractive reweighed least squares method to estimate parameters of the probit surface. The independent variables are time of exposure and probit of the proportion responding to a concentration. MPA allows the user to predict the concentration of toxicant at any time and percent mortality, LC t,p. MPA calculates a point estimate and a measure of dispersion (95% Confidence limits). The MPA is versatile, entirely menu-driven and offers 7 probit models and transformation combinations of the independent variables.
||System: IBM PS2 Model 50; DOS 4.0 operating system, 640K. Language: True BASIC.
||The software is on one 5 1/4 inch diskette, 360K double density. File format: ASCII. Documentation included; may be ordered separately as PB92-169655.
|NTIS Title Notes
||68D#; 57Y; 57H; 57Z; 48B