<abstract xmlns="http://www.w3.org/1999/xhtml"><p> A nonlinear statistical approach was used to evaluate the efficiency of plant protection products. The methodology presented can be implemented when the observations in an experiment are recorded as success or failure. This occurs, for example, when following the application of a herbicide or pesticide, a single weed or insect is classified as alive (failure) or dead (success). Then a higher probability of success means a higher efficiency of the tested product. Using simulated data sets, a comparison was made of three methods based on the logit, probit and threshold models, with special attention to the effect of sample size and number of replications on the accuracy of the estimation of probabilities.</p></abstract>

A nonlinear statistical approach was used to evaluate the efficiency of plant protection products. The methodology presented can be implemented when the observations in an experiment are recorded as success or failure. This occurs, for example, when following the application of a herbicide or pesticide, a single weed or insect is classified as alive (failure) or dead (success). Then a higher probability of success means a higher efficiency of the tested product. Using simulated data sets, a comparison was made of three methods based on the logit, probit and threshold models, with special attention to the effect of sample size and number of replications on the accuracy of the estimation of probabilities.

An evaluation of the efficiency of plant protection products via nonlinear statistical methods – a simulation study

Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, Poznań 60-637, Poland

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A nonlinear statistical approach was used to evaluate the efficiency of plant protection products. The methodology presented can be implemented when the...

An evaluation of the efficiency of plant protection products via nonlinear statistical methods – a simulation study

Published Online: Dec 20, 2014

Page range: 171 - 179

DOI: https://doi.org/10.2478/bile-2014-0012

Keywords
threshold model, logistic model, plant protection, simulated data

© by Ewa Skotarczak

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

An evaluation of the efficiency of plant protection products via nonlinear statistical methods – a simulation study

Published Online: Dec 20, 2014

Page range: 171 - 179

DOI: https://doi.org/10.2478/bile-2014-0012

Keywordsthreshold model, logistic model, plant protection, simulated data

© by Ewa Skotarczak

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
threshold model, logistic model, plant protection, simulated data