Power of Discrete Scan Statistics: a Finite Markov Chain Imbedding Approach
| LEADER | caa a22 4500 | ||
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| 001 | 605519730 | ||
| 003 | CHVBK | ||
| 005 | 20210128100732.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150901xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11009-014-9434-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11009-014-9434-3 | ||
| 100 | 1 | |a Lee |D Wan-Chen |u University of Manitoba, Winnipeg, Canada |4 aut | |
| 245 | 1 | 0 | |a Power of Discrete Scan Statistics: a Finite Markov Chain Imbedding Approach |h [Elektronische Daten] |c [Wan-Chen Lee] |
| 520 | 3 | |a Wallenstein et al. (1994) discussed the power via combinatorial calculations for scan statistics against a pulse alternative given certain proper conditions. Our work extends their results and provides an alternative way to obtain the distribution of a scan statistic under various alternative conditions. An efficient and intuitive expression for the distribution as well as power of the scan statistic is introduced via finite Markov chain imbedding (FMCI). The numerical results of the power for a discrete scan statistic against various conditions are presented. | |
| 540 | |a Springer Science+Business Media New York, 2015 | ||
| 690 | 7 | |a FMCI |2 nationallicence | |
| 690 | 7 | |a Hypothesis test |2 nationallicence | |
| 690 | 7 | |a Power |2 nationallicence | |
| 690 | 7 | |a Scan statistics |2 nationallicence | |
| 773 | 0 | |t Methodology and Computing in Applied Probability |d Springer US; http://www.springer-ny.com |g 17/3(2015-09-01), 833-841 |x 1387-5841 |q 17:3<833 |1 2015 |2 17 |o 11009 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11009-014-9434-3 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11009-014-9434-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 100 |E 1- |a Lee |D Wan-Chen |u University of Manitoba, Winnipeg, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Methodology and Computing in Applied Probability |d Springer US; http://www.springer-ny.com |g 17/3(2015-09-01), 833-841 |x 1387-5841 |q 17:3<833 |1 2015 |2 17 |o 11009 | ||