Fitting Linear Models : An Application of Conjugate Gradient Algorithms / Allen Mclntosh |
Autore | Mclntosh, Allen |
Pubbl/distr/stampa | New York, : Springer-Verlag, 1982 |
Descrizione fisica | vi, 200 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
65F15 - Numerical computation of eigenvalues and eigenvectors of matrices [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] |
Soggetto non controllato |
Algorithms
Best fit Conjugate gradient methods Fitting Generalized linear Model Linear Model Statistical experimental design |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0268509 |
Mclntosh, Allen | ||
New York, : Springer-Verlag, 1982 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Fitting Linear Models : An Application of Conjugate Gradient Algorithms / Allen Mclntosh |
Autore | Mclntosh, Allen |
Pubbl/distr/stampa | New York, : Springer-Verlag, 1982 |
Descrizione fisica | vi, 200 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 65F15 - Numerical computation of eigenvalues and eigenvectors of matrices [MSC 2020] |
Soggetto non controllato |
Algorithms
Best fit Conjugate gradient methods Fitting Generalized linear Model Linear Model Statistical experimental design |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00268509 |
Mclntosh, Allen | ||
New York, : Springer-Verlag, 1982 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|