Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 11, No. 1 (Mar., 2006), pp. 45-60 (16 pages) Many nonlinear functions have been used to predict crop yield response to applied ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...