Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask / Peter Young

• Autore: Young, Peter
• Pubblicazione: Cham, : Springer, 2015
• Titolo uniforme: Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask
• Descrizione fisica: x, 85 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 62G15 - Nonparametric tolerance and confidence regions [MSC 2020]; 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]; 62J02 - General nonlinear regression [MSC 2020]; 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020]; 62J12 - Generalized linear models (logistic models) [MSC 2020]
• Soggetto non controllato: Analysis and Fitting of Experimental Data; Data analysis; Distributions of Fitted Parameters; Fitting of Correlated Data; Maximum Likelihood versus Bayesian Approaches; Perl and Gnuplot Scripts for Data Fitting; Python Scripts for Data Analysis and Fitting; Scripts for Data Analysis and Fitting Tasks
• Titolo autorizzato: Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00133612
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-319-19051-8
• Serie: SpringerBriefs in Physics Berlin [etc.] . -Springer