| Autore: |
Bhattacharya, Rabi
|
| Titolo: |
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
|
| Pubblicazione: |
New York, : Springer, 2016 |
| Titolo uniforme: |
A course in mathematical statistics and large sam
|
| Descrizione fisica: |
XI, 389 p. : ill. ; 24 cm |
| Soggetto topico: |
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] |
| |
62-XX - Statistics [MSC 2020] |
| |
62B05 - Sufficient statistics and fields [MSC 2020] |
| |
62C05 - General considerations in statistical decision theory [MSC 2020] |
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62Dxx - Statistical sampling theory and related topics [MSC 2020] |
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62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| |
62F03 - Parametric hypothesis testing [MSC 2020] |
| |
62G05 - Nonparametric estimation [MSC 2020] |
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62G09 - Nonparametric statistical resampling methods [MSC 2020] |
| |
62G10 - Nonparametric hypothesis testing [MSC 2020] |
| |
62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| |
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] |
| |
65C05 - Monte Carlo methods [MSC 2020] |
| Soggetto non controllato: |
Asymptotic Distribution |
| |
Bayes estimators |
| |
Bayes rules |
| |
Bootstrap |
| |
Confidence Intervals |
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Cramer-Rao Inequality |
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Curve estimation |
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Decision theory |
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Gauss-Markov Theorem |
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Large sample theory |
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Linear Models |
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Markov Chain Monte Carlo Simulation |
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Neyman-Pearson lemma |
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Nonparametric |
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Parametric |
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Unbiased estimation |
| Altri autori: |
Lin, Lizhen
Patrangenaru, Victor
|
| Titolo autorizzato: |
Course in mathematical statistics and large sam |
|
| Formato: |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione: |
Inglese |
| Record Nr.: | VAN00114246 |
|
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico |
http://dx.doi.org/10.1007/978-1-4939-4032-5 |
| Opac: |
Controlla la disponibilità qui |
