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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  
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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 62F03 - Parametric hypothesis testing [MSC 2020]
62F10 - Point estimation [MSC 2020]
62F25 - Parametric tolerance and confidence regions [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020]
62K10 - Statistical block designs [MSC 2020]
62K15 - Factorial statistical designs [MSC 2020]
62Kxx - Design of statistical experiments [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-VAN00250059
Madhyastha, N. R. Mohan  
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
Gillard, Jonathan  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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 62-XX - Statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020]
62E15 - Exact distribution theory in statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J10 - Analysis of variance and covariance (ANOVA) [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-VAN00248557
Gillard, Jonathan  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica XIX, 256 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
Soggetto non controllato Auto-correlation models
Longitudinal multinomial data
Measurement errors
Missing data
Outliers
Parametric longitudinal correlations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114272
[Cham], : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica XIX, 256 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
Soggetto non controllato Auto-correlation models
Longitudinal multinomial data
Measurement error
Missing data
Outliers
Parametric longitudinal correlations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00114272
[Cham], : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Advances and challenges in parametric and semi-parametric analysis for correlated data : proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Advances and challenges in parametric and semi-parametric analysis for correlated data : proceedings of the 2015 international symposium in statistics / Brajendra C. Sutradhar editor
Edizione [[Cham] : Springer, 2016]
Pubbl/distr/stampa XIX, 256 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0114272
XIX, 256 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
Autore Nagy, Ivan
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica XI, 113 p. : ill. ; 24 cm
Altri autori (Persone) Suzdaleva, Evgenia
Soggetto topico 62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Soggetto non controllato Dynamic mixtures
Markov switching models
Mixture estimation algorithms
Mixture models
Mixture prediction
Mixtures of various distributions
Open source programs
Recursive Bayesian estimation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123391
Nagy, Ivan  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
Autore Nagy, Ivan
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica XI, 113 p. : ill. ; 24 cm
Altri autori (Persone) Suzdaleva, Evgenia
Soggetto topico 62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Soggetto non controllato Dynamic mixtures
Markov switching models
Mixture estimation algorithms
Mixture models
Mixture prediction
Mixtures of various distributions
Open source programs
Recursive Bayesian estimation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00123391
Nagy, Ivan  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Algorithms and programs of dynamic mixture Estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
Algorithms and programs of dynamic mixture Estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
Autore Nagy, Ivan
Edizione [Cham : Springer, 2017]
Pubbl/distr/stampa XI, 113 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Suzdaleva, Evgenia
Soggetto topico 62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0123391
Nagy, Ivan  
XI, 113 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui