Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control / Dharmaraja Selvamuthu, Dipayan Das |
Autore | Selvamuthu, Dharmaraja |
Edizione | [Singapore : Springer, 2018] |
Pubbl/distr/stampa | XXI, 430 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) | Das, Dipayan |
Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0125147 |
Selvamuthu, Dharmaraja
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XXI, 430 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 / S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xii, 190 p. : ill. ; 24 cm |
Soggetto topico |
60Jxx - Markov processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 15Axx - Basic linear algebra [MSC 2020] 15Bxx - Special matrices [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Big data analytics
Correlated and complex data Experimental designs High dimensional data analysis Linear algebra Matrix inequalities Matrix theory Multivariate linear models Numerical linear algebra Shrinkage estimation strategy Statistical models |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127018 |
Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 / S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen editors |
Edizione | [Cham : Springer, 2019] |
Pubbl/distr/stampa | xii, 190 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
60Jxx - Markov processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 15Axx - Basic linear algebra [MSC 2020] 15Bxx - Special matrices [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0127018 |
xii, 190 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Multiple shooting and time domain decomposition methods : MuS-TDD, Heidelberg, may 6-8, 2013 / Thomas Carraro ... [et al.] editors |
Pubbl/distr/stampa | [Cham], : Springer, 2015 |
Descrizione fisica | X, 422 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68Uxx - Computing methodologies and applications [MSC 2020] 49-XX - Calculus of variations and optimal control; optimization [MSC 2020] 35-XX - Partial differential equations [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65Lxx - Numerical methods for ordinary differential equations [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 35Kxx - Parabolic equations and parabolic systems [MSC 2020] 65Mxx - Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems [MSC 2020] 34-XX - Ordinary differential equations [MSC 2020] 34Hxx - Control problems including ordinary differential equations [MSC 2020] 35Jxx - Elliptic equations and elliptic systems [MSC 2020] 65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020] 35Qxx - Partial differential equations of mathematical physics and other areas of application [MSC 2020] 62-XX - Statistics [MSC 2020] 34Bxx - Boundary value problems for ordinary differential equations [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 49Mxx - Numerical methods in optimal control [MSC 2020] |
Soggetto non controllato |
Applications from physics, biology and engineering
Differential equations Multiple shooting Nonlinear optimization Numerical methods and algorithms Optimal Control Optimum experimental design Parameter Estimation Partial differential equations Time domain decomposition |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0113767 |
[Cham], : Springer, 2015 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Multiple shooting and time domain decomposition methods : MuS-TDD, Heidelberg, may 6-8, 2013 / Thomas Carraro ... [et al.] editors |
Edizione | [[Cham] : Springer, 2015] |
Pubbl/distr/stampa | X, 422 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68Uxx - Computing methodologies and applications [MSC 2020] 49-XX - Calculus of variations and optimal control; optimization [MSC 2020] 35-XX - Partial differential equations [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65Lxx - Numerical methods for ordinary differential equations [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 35Kxx - Parabolic equations and parabolic systems [MSC 2020] 65Mxx - Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems [MSC 2020] 34-XX - Ordinary differential equations [MSC 2020] 34Hxx - Control problems including ordinary differential equations [MSC 2020] 35Jxx - Elliptic equations and elliptic systems [MSC 2020] 65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020] 35Qxx - Partial differential equations of mathematical physics and other areas of application [MSC 2020] 62-XX - Statistics [MSC 2020] 34Bxx - Boundary value problems for ordinary differential equations [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 49Mxx - Numerical methods in optimal control [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0113767 |
X, 422 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Optimal mixture experiments / B. K. Sinha ... [et al.] |
Pubbl/distr/stampa | New Delhi, : Springer, 2014 |
Descrizione fisica | XIX, 209 p. : ill. ; 24 cm |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
Soggetto non controllato |
Bayesian analysis
Design of experiments Kiefer’s Equivalence Theorem Linear Models Loewner Order Domination Optimum Mixture Designs Regression Designs |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0104325 |
New Delhi, : Springer, 2014 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Optimal mixture experiments / B. K. Sinha ... [et al.] |
Edizione | [New Delhi : Springer, 2014] |
Pubbl/distr/stampa | XIX, 209 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
ISBN | 8-81-322-1785-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0104325 |
XIX, 209 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors] |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xiii, 201 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Big Data
Classification Clustering Complex data Data analysis Explanatory data analysis Functional data Graphical Models Machine learning methods Multidimensional Scaling Multiway data Network data Pattern recognition Statistical learning Statistical modeling |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127162 |
Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors] |
Edizione | [Cham : Springer, 2019] |
Pubbl/distr/stampa | xiii, 201 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0127162 |
xiii, 201 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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The Design and Analysis of Computer Experiments / Thomas J. Santner, Brian J. Williams, William I. Notz |
Autore | Santner, Thomas J. |
Edizione | [2. ed] |
Pubbl/distr/stampa | New York, : Springer, 2018 |
Descrizione fisica | xv, 436 p. : ill. ; 24 cm |
Altri autori (Persone) |
Williams, Brian J.
Notz, William I. |
Soggetto topico |
68U07 - Computer science aspects of computer-aided design [MSC 2020]
62-XX - Statistics [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0125105 |
Santner, Thomas J.
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New York, : Springer, 2018 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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