# Journal of Statistical Planning and Inference

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1463-1478

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1567-1574

^{m}factorial experiment is able to search and estimate one possible nonzero interaction effect along with estimating the general mean and main effects. Construction of such a plan has been tackled by several authors. Some of these works are developed for all m, in which are focused on m=2

^{h−1}or m=4λ−1 for positive integers h>2 and λ≥2. This leads to a gap for...

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1487-1496

_{2}-discrepancy as a new criterion to measure the uniformity of designs with mixtures. A computational formula of the new discrepancy, by the functional method, is also given...

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1479-1486

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1593-1602

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1623-1632

^{⁎}

_{t,b,k}for the...

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1448-1454

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1355-1361

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1603-1615

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1554-1566

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1575-1587

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1510-1518

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1616-1622

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1436-1447

_{p}(1) like standard Schwartz BIC. Several applications are provided covering...

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1455-1462

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1526-1534

Journal of Statistical Planning and Inference > 2011 > 141 > 4 > 1380-1393