A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu

• Autore: Li, Bing
• Pubblicazione: New York, : Springer, 2019
• Titolo uniforme: A Graduate Course on Statistical Inference
• Descrizione fisica: xii, 379 p. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 62Bxx - Sufficiency and information [MSC 2020]; 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020]; 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020]; 62Fxx - Parametric inference [MSC 2020]; 62E20 - Asymptotic distribution theory in statistics [MSC 2020]
• Soggetto non controllato: Asymptotic Theory; Bayes; Bayesian; Cauchy-Schwarz; Conditional inference; Differentiable under the integral sign; Empirical Bayes; Estimating equations; Finite-sample estimation; Finite-sample theory; Generalized Linear Models; Le Cam-Hajek; Local Asymptotic Normal; Posterior distributions; Quasi-likelihood estimation; Shrinkage estimates; Statistical estimation; Statistical inference; Stochastic equicontinuity
• Altri autori: Babu, Jogesh
• Titolo autorizzato: Graduate Course on Statistical Inference
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0127251
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-1-4939-9761-9
• Serie: Springer texts in statistics Berlin [etc.] . -Springer