Likelihood ratios for complex mixtures with relatives
Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternativ...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Dørum, Guro [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013transfer abstract |
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| Schlagwörter: |
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| Umfang: |
2 |
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| Übergeordnetes Werk: |
Enthalten in: Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys - Liu, Jingjing ELSEVIER, 2015transfer abstract, an international journal dedicated to the applications of genetics in the administration of justice, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:4 ; year:2013 ; number:1 ; pages:61-62 ; extent:2 |
| Links: |
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| DOI / URN: |
10.1016/j.fsigss.2013.10.031 |
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| 520 | |a Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. | ||
| 520 | |a Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. | ||
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10.1016/j.fsigss.2013.10.031 doi GBVA2013010000001.pica (DE-627)ELV027221547 (ELSEVIER)S1875-1768(13)00032-2 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 620 VZ 690 VZ 50.92 bkl Dørum, Guro verfasserin aut Likelihood ratios for complex mixtures with relatives 2013transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratio Elsevier Kinship Elsevier p-Value Elsevier Mixture Elsevier Egeland, Thore oth Enthalten in Elsevier Science Liu, Jingjing ELSEVIER Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys 2015transfer abstract an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV013140744 volume:4 year:2013 number:1 pages:61-62 extent:2 https://doi.org/10.1016/j.fsigss.2013.10.031 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 4 2013 1 61-62 2 4.2013, 1, e61-, (2 S.) 045F 340 |
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10.1016/j.fsigss.2013.10.031 doi GBVA2013010000001.pica (DE-627)ELV027221547 (ELSEVIER)S1875-1768(13)00032-2 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 620 VZ 690 VZ 50.92 bkl Dørum, Guro verfasserin aut Likelihood ratios for complex mixtures with relatives 2013transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratio Elsevier Kinship Elsevier p-Value Elsevier Mixture Elsevier Egeland, Thore oth Enthalten in Elsevier Science Liu, Jingjing ELSEVIER Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys 2015transfer abstract an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV013140744 volume:4 year:2013 number:1 pages:61-62 extent:2 https://doi.org/10.1016/j.fsigss.2013.10.031 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 4 2013 1 61-62 2 4.2013, 1, e61-, (2 S.) 045F 340 |
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10.1016/j.fsigss.2013.10.031 doi GBVA2013010000001.pica (DE-627)ELV027221547 (ELSEVIER)S1875-1768(13)00032-2 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 620 VZ 690 VZ 50.92 bkl Dørum, Guro verfasserin aut Likelihood ratios for complex mixtures with relatives 2013transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratio Elsevier Kinship Elsevier p-Value Elsevier Mixture Elsevier Egeland, Thore oth Enthalten in Elsevier Science Liu, Jingjing ELSEVIER Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys 2015transfer abstract an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV013140744 volume:4 year:2013 number:1 pages:61-62 extent:2 https://doi.org/10.1016/j.fsigss.2013.10.031 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 4 2013 1 61-62 2 4.2013, 1, e61-, (2 S.) 045F 340 |
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10.1016/j.fsigss.2013.10.031 doi GBVA2013010000001.pica (DE-627)ELV027221547 (ELSEVIER)S1875-1768(13)00032-2 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 620 VZ 690 VZ 50.92 bkl Dørum, Guro verfasserin aut Likelihood ratios for complex mixtures with relatives 2013transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratio Elsevier Kinship Elsevier p-Value Elsevier Mixture Elsevier Egeland, Thore oth Enthalten in Elsevier Science Liu, Jingjing ELSEVIER Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys 2015transfer abstract an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV013140744 volume:4 year:2013 number:1 pages:61-62 extent:2 https://doi.org/10.1016/j.fsigss.2013.10.031 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 4 2013 1 61-62 2 4.2013, 1, e61-, (2 S.) 045F 340 |
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10.1016/j.fsigss.2013.10.031 doi GBVA2013010000001.pica (DE-627)ELV027221547 (ELSEVIER)S1875-1768(13)00032-2 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 620 VZ 690 VZ 50.92 bkl Dørum, Guro verfasserin aut Likelihood ratios for complex mixtures with relatives 2013transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. Likelihood ratio Elsevier Kinship Elsevier p-Value Elsevier Mixture Elsevier Egeland, Thore oth Enthalten in Elsevier Science Liu, Jingjing ELSEVIER Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys 2015transfer abstract an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV013140744 volume:4 year:2013 number:1 pages:61-62 extent:2 https://doi.org/10.1016/j.fsigss.2013.10.031 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 4 2013 1 61-62 2 4.2013, 1, e61-, (2 S.) 045F 340 |
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Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys |
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Likelihood ratios for complex mixtures with relatives |
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Likelihood ratios for complex mixtures with relatives |
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Dørum, Guro |
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Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys |
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Electrochemical performance and capacity degradation mechanism of single-phase La–Mg–Ni-based hydrogen storage alloys |
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10.1016/j.fsigss.2013.10.031 |
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likelihood ratios for complex mixtures with relatives |
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Likelihood ratios for complex mixtures with relatives |
| abstract |
Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. |
| abstractGer |
Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. |
| abstract_unstemmed |
Likelihood ratios used for the analysis of complex DNA mixtures depend on a number of modeling assumptions and parameter estimates. In particular, the LR does not give information about the relative weight of the separate contributors for hypotheses conditioned on several contributors. An alternative is to evaluate the observed LR with respect to likelihood ratios expected under the defense hypothesis. Further, a p-value corresponding to the LR can be calculated. The p-value is the probability of observing a LR equally large or larger than the one observed, if the defense hypothesis is true. In this paper we investigate the distribution of likelihood ratios for mixtures with drop-in and drop-out and related contributors. Disregarding a plausible close relative of the suspect as an alternative contributor may overestimate the LR against a suspect. |
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Likelihood ratios for complex mixtures with relatives |
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https://doi.org/10.1016/j.fsigss.2013.10.031 |
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Egeland, Thore |
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