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Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control / Dharmaraja Selvamuthu, Dipayan Das
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  
XXI, 430 p., : ill. ; 24 cm
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Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 / S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen editors
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
Materiale a stampa
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
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
Materiale a stampa
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
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
Materiale a stampa
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Multiple shooting and time domain decomposition methods : MuS-TDD, Heidelberg, may 6-8, 2013 / Thomas Carraro ... [et al.] editors
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Optimal mixture experiments / B. K. Sinha ... [et al.]
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Optimal mixture experiments / B. K. Sinha ... [et al.]
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors]
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors]
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
Materiale a stampa
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
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.  
New York, : Springer, 2018
Materiale a stampa
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