A general method of estimating physical parameters from a distribution with acceptance and smearing effects
A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the li...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1993 |
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| Reproduktion: |
Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 |
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| Übergeordnetes Werk: |
in: Nuclear Instruments and Methods in Physics Research Section A: - Amsterdam : Elsevier, 328(1993), 3, Seite 547-552 |
| Übergeordnetes Werk: |
volume:328 ; year:1993 ; number:3 ; pages:547-552 |
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| 520 | |a A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. | ||
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(DE-627)NLEJ18087196X (DE-599)GBVNLZ18087196X DE-627 ger DE-627 rakwb eng A general method of estimating physical parameters from a distribution with acceptance and smearing effects 1993 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Schmidt, D.M. oth Morrison, R.J. oth Witherell, M.S. oth in Nuclear Instruments and Methods in Physics Research Section A: Amsterdam : Elsevier 328(1993), 3, Seite 547-552 (DE-627)NLEJ180854372 (DE-600)1466532-3 0168-9002 nnns volume:328 year:1993 number:3 pages:547-552 http://linkinghub.elsevier.com/retrieve/pii/0168-9002(93)90674-7 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 328 1993 3 547-552 |
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(DE-627)NLEJ18087196X (DE-599)GBVNLZ18087196X DE-627 ger DE-627 rakwb eng A general method of estimating physical parameters from a distribution with acceptance and smearing effects 1993 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Schmidt, D.M. oth Morrison, R.J. oth Witherell, M.S. oth in Nuclear Instruments and Methods in Physics Research Section A: Amsterdam : Elsevier 328(1993), 3, Seite 547-552 (DE-627)NLEJ180854372 (DE-600)1466532-3 0168-9002 nnns volume:328 year:1993 number:3 pages:547-552 http://linkinghub.elsevier.com/retrieve/pii/0168-9002(93)90674-7 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 328 1993 3 547-552 |
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(DE-627)NLEJ18087196X (DE-599)GBVNLZ18087196X DE-627 ger DE-627 rakwb eng A general method of estimating physical parameters from a distribution with acceptance and smearing effects 1993 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Schmidt, D.M. oth Morrison, R.J. oth Witherell, M.S. oth in Nuclear Instruments and Methods in Physics Research Section A: Amsterdam : Elsevier 328(1993), 3, Seite 547-552 (DE-627)NLEJ180854372 (DE-600)1466532-3 0168-9002 nnns volume:328 year:1993 number:3 pages:547-552 http://linkinghub.elsevier.com/retrieve/pii/0168-9002(93)90674-7 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 328 1993 3 547-552 |
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(DE-627)NLEJ18087196X (DE-599)GBVNLZ18087196X DE-627 ger DE-627 rakwb eng A general method of estimating physical parameters from a distribution with acceptance and smearing effects 1993 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Schmidt, D.M. oth Morrison, R.J. oth Witherell, M.S. oth in Nuclear Instruments and Methods in Physics Research Section A: Amsterdam : Elsevier 328(1993), 3, Seite 547-552 (DE-627)NLEJ180854372 (DE-600)1466532-3 0168-9002 nnns volume:328 year:1993 number:3 pages:547-552 http://linkinghub.elsevier.com/retrieve/pii/0168-9002(93)90674-7 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 328 1993 3 547-552 |
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(DE-627)NLEJ18087196X (DE-599)GBVNLZ18087196X DE-627 ger DE-627 rakwb eng A general method of estimating physical parameters from a distribution with acceptance and smearing effects 1993 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Schmidt, D.M. oth Morrison, R.J. oth Witherell, M.S. oth in Nuclear Instruments and Methods in Physics Research Section A: Amsterdam : Elsevier 328(1993), 3, Seite 547-552 (DE-627)NLEJ180854372 (DE-600)1466532-3 0168-9002 nnns volume:328 year:1993 number:3 pages:547-552 http://linkinghub.elsevier.com/retrieve/pii/0168-9002(93)90674-7 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 328 1993 3 547-552 |
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A general method of estimating physical parameters from a distribution with acceptance and smearing effects |
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A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. |
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A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. |
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A generalization of the maximum likelihood method of estimating physical parameters is presented which can be used when the data set has been distorbed by acceptance and smearing effects. This method employs events from a Monte Carlo simulation of the experiment directly in the calculation of the likelihood. It is sufficiently general that it can be used consistently, over any number of dimensions, and does not waste information contained in the data set. Systematic errors associated with this technique can be estimated and, if needed, reduced by including more Monte Carlo events. |
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