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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
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| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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 |
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Young, Peter
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| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Linear Model Theory : With Examples and Exercises / Dale L. Zimmerman
| Linear Model Theory : With Examples and Exercises / Dale L. Zimmerman |
| Autore | Zimmerman, Dale L. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxi, 504 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 15A09 - Theory of matrix inversion and generalized inverses [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
ANOVA
Aitken model BLUE and BLUP Best linear unbiased estimation and prediction Distribution theory Estimability Examples and exercises Gauss-Markov model Generalized inverse Least squares estimation Linear Models Matrix algebra Mean and error structures Mixed and random effects models Model misspecication Random vectors Regression methods Statistical Theory Variance component estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249398 |
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Zimmerman, Dale L.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Linear Model Theory : With Examples and Exercises / Dale L. Zimmerman
| Linear Model Theory : With Examples and Exercises / Dale L. Zimmerman |
| Autore | Zimmerman, Dale L. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxi, 504 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020] 15A09 - Theory of matrix inversion and generalized inverses [MSC 2020] 62-XX - Statistics [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] |
| Soggetto non controllato |
ANOVA
Aitken model BLUE and BLUP Best linear unbiased estimation and prediction Distribution theory Estimability Examples and exercises Gauss-Markov model Generalized inverse Least squares estimation Linear Models Matrix algebra Mean and error structures Mixed and random effects models Model misspecication Random vectors Regression methods Statistical Theory Variance component estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249398 |
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Zimmerman, Dale L.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric Estimation of Probability Densities and Regression Curves / E. A. Nadaraya ; translated by Samuel Kotz
| Nonparametric Estimation of Probability Densities and Regression Curves / E. A. Nadaraya ; translated by Samuel Kotz |
| Autore | Nadaraya, Elizbar A. |
| Pubbl/distr/stampa | Dordrecht, : Kluwer, 1989 |
| Descrizione fisica | VIII, 213 p. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Classification
Estimator Maxima Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0267357 |
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Nadaraya, Elizbar A.
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| Dordrecht, : Kluwer, 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric Estimation of Probability Densities and Regression Curves / E. A. Nadaraya ; translated by Samuel Kotz
| Nonparametric Estimation of Probability Densities and Regression Curves / E. A. Nadaraya ; translated by Samuel Kotz |
| Autore | Nadaraya, Elizbar A. |
| Pubbl/distr/stampa | Dordrecht, : Kluwer, 1989 |
| Descrizione fisica | VIII, 213 p. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Classification
Estimator Maxima Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00267357 |
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Nadaraya, Elizbar A.
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| Dordrecht, : Kluwer, 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 547 p. : ill. ; 24 cm |
| Soggetto topico |
62Gxx - Nonparametric inference [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249540 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 547 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249540 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors
| Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XI, 224 p. : ill. ; 24 cm |
| Soggetto topico |
62G07 - Density estimation [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G32 - Statistics of extreme values; tail inference [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Applications in econometrics
Applications in the life sciences Curve estimation Dependent data Engineering Applications High-Dimensional Data Nonparametric filtering Nonparametric inference Nonparametric tests Regression smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115099 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors
| Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XI, 224 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
62G07 - Density estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G32 - Statistics of extreme values; tail inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Applications in econometrics
Applications in the life sciences Curve estimation Dependent data Engineering Applications High-Dimensional Data Nonparametric filtering Nonparametric inference Nonparametric tests Regression smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00115099 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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