Local linear estimation of residual entropy function of conditional distributions
Local linear estimators for the conditional residual entropy function in the case of complete and censored samples are proposed. The resulting estimators are shown to be consistent and asymptotically normally distributed under certain regularity conditions. The performance of the estimator is compar...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rajesh, G. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
14 |
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| Übergeordnetes Werk: |
Enthalten in: An Orthopaedic Pre-operative Skin Decolonization Protocol Process Improvement Project at an Academic Medical Center - Phillips, Eileen ELSEVIER, 2014, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:88 ; year:2015 ; pages:1-14 ; extent:14 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.csda.2015.02.002 |
|---|
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ELV039640655 |
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| 520 | |a Local linear estimators for the conditional residual entropy function in the case of complete and censored samples are proposed. The resulting estimators are shown to be consistent and asymptotically normally distributed under certain regularity conditions. The performance of the estimator is compared by using a real data set and simulation studies are carried out by using the Monte-Carlo method. | ||
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Local linear estimators for the conditional residual entropy function in the case of complete and censored samples are proposed. The resulting estimators are shown to be consistent and asymptotically normally distributed under certain regularity conditions. The performance of the estimator is compared by using a real data set and simulation studies are carried out by using the Monte-Carlo method. |
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Local linear estimators for the conditional residual entropy function in the case of complete and censored samples are proposed. The resulting estimators are shown to be consistent and asymptotically normally distributed under certain regularity conditions. The performance of the estimator is compared by using a real data set and simulation studies are carried out by using the Monte-Carlo method. |
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Local linear estimators for the conditional residual entropy function in the case of complete and censored samples are proposed. The resulting estimators are shown to be consistent and asymptotically normally distributed under certain regularity conditions. The performance of the estimator is compared by using a real data set and simulation studies are carried out by using the Monte-Carlo method. |
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