TY - JOUR
AU - Yakowitz, S. J.
AB -  Abstract Admissible statistical tests of fixed level are derived for the hypotheses (a) of statistical independence and (b) of Markov dependence, against the alternative of a higher-order Markov dependence. The tests, which are related to the run test and to contingency tests, are conditional procedures given a complete sufficient statistic. Comparisons are made with chi-squared tests for independence using computer simulation. 
TI - Admissible Run-Contingency Type Tests for Independence and Markov Dependence
JF - Journal of the American Statistical Association
DO - 10.1080/01621459.1978.10480023
DA - 1978-03-01
UR - https://www.deepdyve.com/lp/taylor-francis/admissible-run-contingency-type-tests-for-independence-and-markov-WsCfYu0jfC
SP - 177
EP - 181
VL - 73
IS - 361
DP - DeepDyve
ER -