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A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
Autore Bhattacharya, Rabi
Pubbl/distr/stampa New York, : Springer, 2016
Descrizione fisica XI, 389 p. : ill. ; 24 cm
Altri autori (Persone) Lin, Lizhen
Patrangenaru, Victor
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114246
Bhattacharya, Rabi  
New York, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
Autore Bhattacharya, Rabi
Pubbl/distr/stampa New York, : Springer, 2016
Descrizione fisica XI, 389 p. : ill. ; 24 cm
Altri autori (Persone) Lin, Lizhen
Patrangenaru, Victor
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]
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
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
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00114246
Bhattacharya, Rabi  
New York, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui