Vol. 10, No. 2 (Full Issue)

2011 Journal of Modern Applied Statistical Methods  
JMASM is an independent print and electronic journal (http://www.jmasm.com/), publishing (1) new statistical tests or procedures, or the comparison of existing statistical tests or procedures, using computer-intensive Monte Carlo, bootstrap, jackknife, or resampling methods, (2) the study of nonparametric, robust, permutation, exact, and approximate randomization methods, and (3) applications of computer programming, preferably in Fortran (all other programming environments are welcome),
more » ... to statistical algorithms, pseudorandom number generators, simulation techniques, and self-contained executable code to carry out new or interesting statistical methods.
doi:10.22237/jmasm/1320122040 fatcat:oqroy7zx2nh4djqqrqkc5nm6la