Diagnosis and Prediction / Seymour Geisser editor

• Pubblicazione: New York, : Springer, 1999
• Descrizione fisica: ix, 141 p. : ill. ; 24 cm
• Soggetto topico: 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]; 60Cxx - Combinatorial probability [MSC 2020]; 60E05 - Probability distributions: general theory [MSC 2020]; 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020]; 62E15 - Exact distribution theory in statistics [MSC 2020]; 62G05 - Nonparametric estimation [MSC 2020]; 62H12 - Estimation in multivariate analysis [MSC 2020]; 62J05 - Linear regression; mixed models [MSC 2020]; 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]; 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020]; 65D15 - Algorithms for approximation of functions [MSC 2020]; 92D10 - Genetics and epigenetics [MSC 2020]
• Soggetto non controllato: Control; Health; Mathematics; Public Health; Screening; Statistics; Survival analysis
• Persona (resp. second.): Geisser, Seymour
• Titolo autorizzato: Diagnosis and Prediction
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00300245
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-1-4612-1540-0
• Serie: The IMA volumes in mathematics and its applications New York [etc.] . -Springer ; 114