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A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena
| A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena |
| Autore | Madhyastha, N. R. Mohan |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xiv, 230 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Praveena, Attahalli S.
Ravi, Sreenivasan |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] 62K15 - Factorial statistical designs [MSC 2020] |
| Soggetto non controllato |
Analysis of covariance
Analysis of variance Block Designs Design of experiments Factorial experiments Linear Models Linear hypotheses Missing plot technique Row-column designs Split plot experiments Standard designs |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250059 |
Madhyastha, N. R. Mohan
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| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A First Course in Statistical Inference / Jonathan Gillard
| A First Course in Statistical Inference / Jonathan Gillard |
| Autore | Gillard, Jonathan |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 164 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62E15 - Exact distribution theory in statistics [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Confidence Interval
Data science Distribution theory Hypothesis Testing Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248557 |
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Gillard, Jonathan
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Erdélyi–Kober Fractional Calculus : From a Statistical Perspective, Inspired by Solar Neutrino Physics / A. M. Mathai, H. J. Haubold
| Erdélyi–Kober Fractional Calculus : From a Statistical Perspective, Inspired by Solar Neutrino Physics / A. M. Mathai, H. J. Haubold |
| Autore | Mathai, Arakaparampli M. |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xii, 122 p. ; 24 cm |
| Altri autori (Persone) | Haubold, Hans J. |
| Soggetto topico |
81-XX - Quantum theory [MSC 2020]
81Vxx - Applications of quantum theory to specific physical systems [MSC 2020] 00A79 (77-XX) - Physics [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 26A33 - Fractional derivatives and integrals [MSC 2020] 60G22 - Fractional processes, including fractional Brownian motion [MSC 2020] 81Qxx - General mathematical topics and methods in quantum theory [MSC 2020] |
| Soggetto non controllato |
Fractional Calculus
Fractional operators Matrix-variate case Multivariable case Real variable case |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125132 |
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Mathai, Arakaparampli M.
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Erdélyi–Kober Fractional Calculus : From a Statistical Perspective, Inspired by Solar Neutrino Physics / A. M. Mathai, H. J. Haubold
| Erdélyi–Kober Fractional Calculus : From a Statistical Perspective, Inspired by Solar Neutrino Physics / A. M. Mathai, H. J. Haubold |
| Autore | Mathai, Arakaparampli M. |
| Edizione | [Singapore : Springer, 2018] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Haubold, Hans J. |
| Soggetto topico |
81-XX - Quantum theory [MSC 2020]
81Vxx - Applications of quantum theory to specific physical systems [MSC 2020] 00A79 (77-XX) - Physics [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 26A33 - Fractional derivatives and integrals [MSC 2020] 60G22 - Fractional processes, including fractional Brownian motion [MSC 2020] 81Qxx - General mathematical topics and methods in quantum theory [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0125132 |
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Mathai, Arakaparampli M.
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| 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 |
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 |
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Young, Peter
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| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina
| High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina |
| Autore | Zagidullina, Aygul |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 115 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 60B20 - Random matrices (probabilistic aspects) [MSC 2020] |
| Soggetto non controllato |
Big Data
Covariance matrix estimation High-dimensional asymptotics High-dimensional covariance matrix estimation High-dimensional statistics Linear spectral statistics for high-dimensional inference Random matrix theory Sample covariance matrix estimator Shrinkage estimation of covariance matrices Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274816 |
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Zagidullina, Aygul
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to probability theory and statistical inference / Harold J. Larson
| Introduction to probability theory and statistical inference / Harold J. Larson |
| Autore | Larson, Harold J. |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | New York, : Wiley, 1982 |
| Descrizione fisica | xi, 637 p. : ill. ; 24 cm. |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] |
| ISBN | 978-04-7105-909-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0049239 |
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Larson, Harold J.
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| New York, : Wiley, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to probability theory and statistical inference / Harold J. Larson
| Introduction to probability theory and statistical inference / Harold J. Larson |
| Autore | Larson, Harold J. |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | New York, : Wiley, 1982 |
| Descrizione fisica | xi, 637 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] |
| ISBN | 978-04-7105-909-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0049239 |
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Larson, Harold J.
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| New York, : Wiley, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to Statistical Modelling / Annette J. Dobson
| Introduction to Statistical Modelling / Annette J. Dobson |
| Autore | Dobson, Annette J. |
| Pubbl/distr/stampa | New York, : Springer, 1983 |
| Descrizione fisica | viii, 125 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62H17 - Contingency tables [MSC 2020] |
| Soggetto non controllato |
Analysis of variance
Calculus Computation Distribution Frameworks Generalized Linear Models Logistic Regression Mathematics Matrix Modeling Modelling Statistics Testing Variables |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268594 |
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Dobson, Annette J.
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| New York, : Springer, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
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