Items where Author is "De Bastiani, Fernanda"
Box-Cox t distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
GAMLSS
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
P-splines
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
semi-continuous distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
zero-adjusted distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
zero-heavy distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)