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Matrix analysis and applied linear algebra / Carl Meyer
| Matrix analysis and applied linear algebra / Carl Meyer |
| Autore | Meyer, Carl Dean |
| Pubbl/distr/stampa | Philadelphia, : SIAM, c2000 |
| Descrizione fisica | XII, 718 p. ; 25 cm + 1 CD-ROM + 1 v. (171 p. ; 24 cm) |
| Soggetto topico |
15B48 - Positive matrices and their generalizations; cones of matrices [MSC 2020]
15A06 - Linear equations (linear algebraic aspects) [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 15A60 - Norms of matrices, numerical range, applications of functional analysis to matrix theory [MSC 2020] 15A09 - Theory of matrix inversion and generalized inverses [MSC 2020] 34A30 - Linear ordinary differential equations and systems, general [MSC 2020] 92D25 - Population dynamics (general) [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 40G05 - Cesàro, Euler, Nörlund and Hausdorff methods [MSC 2020] 94C05 - Analytic circuit theory [MSC 2020] 65Fxx - Numerical linear algebra [MSC 2020] 15A18 - Eigenvalues, singular values, and eigenvectors [MSC 2020] 15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020] 15A15 - Determinants, permanents, other special matrix functions [MSC 2020] 35J05 - Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation [MSC 2020] |
| ISBN | 978-08-987145-4-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0053643 |
Meyer, Carl Dean
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| Philadelphia, : SIAM, c2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Model Averaging / David Fletcher
| Model Averaging / David Fletcher |
| Autore | Fletcher, David |
| Pubbl/distr/stampa | Berlin, : Springer, 2018 |
| Descrizione fisica | x, 107 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
Applications of model averaging in ecology
Bayesian Modeling Frequentist Model Averaging Mixed models Model averaging Posterior model probabilities |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124474 |
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Fletcher, David
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| Berlin, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Model Averaging / David Fletcher
| Model Averaging / David Fletcher |
| Autore | Fletcher, David |
| Edizione | [Berlin : Springer, 2018] |
| Pubbl/distr/stampa | x, 107 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124474 |
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Fletcher, David
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| x, 107 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Model-free prediction and regression : a transformation-based approach to inference / Dimitris N. Politis
| Model-free prediction and regression : a transformation-based approach to inference / Dimitris N. Politis |
| Autore | Politis, Dimitris N. |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XVII, 246 p. ; 24 cm |
| Soggetto topico |
62J02 - General nonlinear regression [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Independent and identically distributed
Markov Processes Modeling Prediction Regression Statistical interference Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113693 |
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Politis, Dimitris N.
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Model-free prediction and regression : a transformation-based approach to inference / Dimitris N. Politis
| Model-free prediction and regression : a transformation-based approach to inference / Dimitris N. Politis |
| Autore | Politis, Dimitris N. |
| Edizione | [[Cham] : Springer, 2015] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62J02 - General nonlinear regression [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113693 |
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Politis, Dimitris N.
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Numerical analysis in modern scientific computing : an introduction / Peter Deuflhard, Andreas Hohmann
| Numerical analysis in modern scientific computing : an introduction / Peter Deuflhard, Andreas Hohmann |
| Autore | Deuflhard, Peter |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2003 |
| Descrizione fisica | XVIII, 337 p. : ill. ; 25 cm. |
| Altri autori (Persone) | Hohmann, Andreas |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65Hxx - Nonlinear algebraic or transcendental equations [MSC 2020] 65G50 - Roundoff error [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 65T50 - Numerical methods for discrete and fast Fourier transforms [MSC 2020] 65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020] 65Fxx - Numerical linear algebra [MSC 2020] 65Qxx - Numerical methods for difference and functional equations, recurrence relations [MSC 2020] |
| ISBN | 8-1-4419-2990-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0056050 |
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Deuflhard, Peter
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| New York, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Numerical analysis in modern scientific computing : an introduction / Peter Deuflhard, Andreas Hohmann
| Numerical analysis in modern scientific computing : an introduction / Peter Deuflhard, Andreas Hohmann |
| Autore | Deuflhard, Peter |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2003 |
| Descrizione fisica | XVIII, 337 p. : ill. ; 25 cm |
| Altri autori (Persone) | Hohmann, Andreas |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65Hxx - Nonlinear algebraic or transcendental equations [MSC 2020] 65G50 - Roundoff error [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 65T50 - Numerical methods for discrete and fast Fourier transforms [MSC 2020] 65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020] 65Fxx - Numerical linear algebra [MSC 2020] 65Qxx - Numerical methods for difference and functional equations, recurrence relations [MSC 2020] |
| ISBN | 978-14-419-2990-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0056050 |
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Deuflhard, Peter
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| New York, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Optimal covariate designs : theory and applications / Premadhis Das ... [et al.]
| Optimal covariate designs : theory and applications / Premadhis Das ... [et al.] |
| Pubbl/distr/stampa | New Delhi, : Springer, 2015 |
| Descrizione fisica | XVII, 221 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] |
| Soggetto non controllato |
Balanced Incomplete Block Designs
Balanced Treatment Incomplete Block Designs Covariate Models Hadamard matrices Mixed Orthogonal Arrays Optimum Designs Partially Balanced Incomplete Block Designs Regression Designs |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114006 |
| New Delhi, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Optimal covariate designs : theory and applications / Premadhis Das ... [et al.]
| Optimal covariate designs : theory and applications / Premadhis Das ... [et al.] |
| Edizione | [New Delhi : Springer, 2015] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114006 |
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Penalty, shrinkage and pretest strategies : variable selection and estimation / S. Ejaz Ahmed
| Penalty, shrinkage and pretest strategies : variable selection and estimation / S. Ejaz Ahmed |
| Autore | Ahmed, Syed Ejaz |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | IX, 115 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] |
| Soggetto non controllato |
Penalty estimation
Pooling data Pretest and shrinkage estimation Regression models Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103264 |
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Ahmed, Syed Ejaz
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| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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