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Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask / Peter Young
Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask / Peter Young
Autore Young, Peter
Pubbl/distr/stampa Cham, : Springer, 2015
Descrizione fisica x, 85 p. : ill. ; 24 cm
Soggetto topico 62J02 - General nonlinear regression [MSC 2020]
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
62G15 - Nonparametric tolerance and confidence regions [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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0133612
Young, Peter  
Cham, : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask / Peter Young
Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask / Peter Young
Autore Young, Peter
Pubbl/distr/stampa Cham, : Springer, 2015
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00133612
Young, Peter  
Cham, : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui