Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

You are now ready to perform statistical analysis of your results, but first, you have to choose a critical value at which to reject your null hypothesis. You opt for a critical value probability ...

Statistical analysis is a vital component of improving workflows in a given project. To make the most of your data analysis, ...

Genetic changes have the ability to alter crop characteristics, and some crop breeding techniques take advantage of this. Conventionally, genetic engineering has relied on natural or artificial ...

Statistical depth is a concept used in multivariate data analysis to measure the centrality of points in a dataset relative to a probability distribution. This approach allows researchers to rank ...

Operations research analysts are high-level problem-solvers who use advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions ...