A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru

• Autore: Bhattacharya, Rabi
• 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: 65C05 - Monte Carlo methods [MSC 2020]; 62B05 - Sufficient statistics and fields [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62F03 - Parametric hypothesis testing [MSC 2020]; 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020]; 62Dxx - Statistical sampling theory and related topics [MSC 2020]; 62G05 - Nonparametric estimation [MSC 2020]; 62G10 - Nonparametric hypothesis testing [MSC 2020]; 62E20 - Asymptotic distribution theory in statistics [MSC 2020]; 62G20 - Asymptotic properties of nonparametric inference [MSC 2020]; 62C05 - General considerations in statistical decision theory [MSC 2020]; 62G09 - Nonparametric statistical resampling methods [MSC 2020]; 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
• Soggetto non controllato: Asymptotic Distribution; Bayes estimators; Bayes rules; Bootstrap; Confidence Intervals; Cramer-Rao Inequality; Curve estimation; Decision theory; Gauss-Markov Theorem; Large sample theory; Linear Models; Markov Chain Monte Carlo Simulation; Neyman-Pearson lemma; Nonparametric; Parametric; 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.: VAN0114246
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-1-4939-4032-5
• Serie: Springer texts in statistics Berlin [etc.] . -Springer