Approximation for the Distribution of Three-dimensional Discrete Scan Statistic
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| 024 | 7 | 0 | |a 10.1007/s11009-013-9382-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11009-013-9382-3 | ||
| 245 | 0 | 0 | |a Approximation for the Distribution of Three-dimensional Discrete Scan Statistic |h [Elektronische Daten] |c [Alexandru Amărioarei, Cristian Preda] |
| 520 | 3 | |a We consider the discrete three dimensional scan statistics. Viewed as the maximum of an 1-dependent stationary r.v.'s sequence, we provide approximations and error bounds for the probability distribution of the three dimensional scan statistics. Importance sampling algorithm is used to obtain sharp bounds for the simulation error. Simulation results and comparisons with other approximations are presented for the binomial and Poisson models. | |
| 540 | |a Springer Science+Business Media New York, 2013 | ||
| 690 | 7 | |a Scan statistics |2 nationallicence | |
| 690 | 7 | |a 1-dependent stationary sequences |2 nationallicence | |
| 690 | 7 | |a Importance sampling |2 nationallicence | |
| 700 | 1 | |a Amărioarei |D Alexandru |u Laboratoire de Mathémathiques Paul Painlevé, UMR 8524, Université de Sciences et Technologies de Lille 1, Cité Scientifique, 59100, Lille, France |4 aut | |
| 700 | 1 | |a Preda |D Cristian |u Laboratoire de Mathémathiques Paul Painlevé, UMR 8524, Université de Sciences et Technologies de Lille 1, Cité Scientifique, 59100, Lille, France |4 aut | |
| 773 | 0 | |t Methodology and Computing in Applied Probability |d Springer US; http://www.springer-ny.com |g 17/3(2015-09-01), 565-578 |x 1387-5841 |q 17:3<565 |1 2015 |2 17 |o 11009 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11009-013-9382-3 |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/s11009-013-9382-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Amărioarei |D Alexandru |u Laboratoire de Mathémathiques Paul Painlevé, UMR 8524, Université de Sciences et Technologies de Lille 1, Cité Scientifique, 59100, Lille, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Preda |D Cristian |u Laboratoire de Mathémathiques Paul Painlevé, UMR 8524, Université de Sciences et Technologies de Lille 1, Cité Scientifique, 59100, Lille, France |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), 565-578 |x 1387-5841 |q 17:3<565 |1 2015 |2 17 |o 11009 | ||