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Experimental Design : With Application in Management, Engineering, and the Sciences / Paul D. Berger, Robert E. Maurer, Giovana B. Celli
| Experimental Design : With Application in Management, Engineering, and the Sciences / Paul D. Berger, Robert E. Maurer, Giovana B. Celli |
| Autore | Berger, Paul D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xviii, 639 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Celli, Giovana B.
Maurer, Robert E. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
ANOVA
Box-Behnken design Central-composite designs Confounding Design of experiements Factor Factorial designs Fractional-factorial designs Hypothesis Testing Latin-square designs Level Mixture designs Multiple comparisons Nested designs Regression Response surface methodology Statistical model Taguchi Triangular surfaces |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124671 |
Berger, Paul D.
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Experimental Design : With Application in Management, Engineering, and the Sciences / Paul D. Berger, Robert E. Maurer, Giovana B. Celli
| Experimental Design : With Application in Management, Engineering, and the Sciences / Paul D. Berger, Robert E. Maurer, Giovana B. Celli |
| Autore | Berger, Paul D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xviii, 639 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Celli, Giovana B.
Maurer, Robert E. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] |
| Soggetto non controllato |
ANOVA
Box-Behnken design Central-composite designs Confounding Design of experiements Factor Factorial designs Fractional-factorial designs Hypothesis Testing Latin-square designs Level Mixture designs Multiple comparisons Nested designs Regression Response surface methodology Statistical model Taguchi Triangular surfaces |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124671 |
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Berger, Paul D.
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R / Jörg Polzehl, Karsten Tabelow
| Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R / Jörg Polzehl, Karsten Tabelow |
| Autore | Polzehl, Jörg |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xvi, 258 p. : ill. ; 24 cm |
| Altri autori (Persone) | Tabelow, Karsten |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H35 - Image analysis in multivariate analysis [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R10 - Functional data analysis [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] |
| Soggetto non controllato |
BIDS standard
Diffusion models Functional Magnetic Resonance Imaging Functional connectivity Magnetic Reconance Imaging data formats Multi-Parameter Mapping Multiple comparisons NeuroConductor Preprocessing pipelines Quantitative Magnetic Resonance Imaging Resting state Magnetic Resonance Imaging Signal detection Structural Magnetic Resonance Imaging Structural adaptive smoothing Structural connectivity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00278868 |
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Polzehl, Jörg
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R / Jörg Polzehl, Karsten Tabelow
| Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R / Jörg Polzehl, Karsten Tabelow |
| Autore | Polzehl, Jörg |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xviii, 231 p. : ill. ; 24 cm |
| Altri autori (Persone) | Tabelow, Karsten |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92C55 - Biomedical imaging and signal processing [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020] |
| Soggetto non controllato |
BIDS standard
Diffusion models Functional Magnetic Resonance Imaging Functional connectivity Magnetic Reconance Imaging data formats Multi-Parameter Mapping Multiple comparisons NeuroConductor Preprocessing pipelines Quantitative Magnetic Resonance Imaging Resting state Magnetic Resonance Imaging Signal detection Structural Magnetic Resonance Imaging Structural adaptive smoothing Structural connectivity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126977 |
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Polzehl, Jörg
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R / Jörg Polzehl, Karsten Tabelow
| Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R / Jörg Polzehl, Karsten Tabelow |
| Autore | Polzehl, Jörg |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xviii, 231 p. : ill. ; 24 cm |
| Altri autori (Persone) | Tabelow, Karsten |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H35 - Image analysis in multivariate analysis [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020] |
| Soggetto non controllato |
BIDS standard
Diffusion models Functional Magnetic Resonance Imaging Functional connectivity Magnetic Reconance Imaging data formats Multi-Parameter Mapping Multiple comparisons NeuroConductor Preprocessing pipelines Quantitative Magnetic Resonance Imaging Resting state Magnetic Resonance Imaging Signal detection Structural Magnetic Resonance Imaging Structural adaptive smoothing Structural connectivity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126977 |
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Polzehl, Jörg
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / Meinhard Kieser
| Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / Meinhard Kieser |
| Autore | Kieser, Meinhard |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 396 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Adaptive Design
Categorical data Clinical Trials Continuous data Equivalence trials Fixed sample size design Internal pilot study design Multiple comparisons Noninferiority trials Ordinal Data Sample Size Superiority trials Time‐to-event data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249493 |
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Kieser, Meinhard
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / Meinhard Kieser
| Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / Meinhard Kieser |
| Autore | Kieser, Meinhard |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 396 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Adaptive Design
Categorical data Clinical Trials Continuous data Equivalence trials Fixed sample size design Internal pilot study design Multiple comparisons Noninferiority trials Ordinal Data Sample Size Superiority trials Time‐to-event data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249493 |
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Kieser, Meinhard
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical Modeling for Biological Systems : In Memory of Andrei Yakovlev / Anthony Almudevar, David Oakes, Jack Hall ediors
| Statistical Modeling for Biological Systems : In Memory of Andrei Yakovlev / Anthony Almudevar, David Oakes, Jack Hall ediors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xii, 354 p. : ill. ; 24 cm |
| Soggetto topico |
01A70 - Biographies, obituaries, personalia, bibliographies [MSC 2020]
62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Andrei Yakovlev
Biological Systems Biostatistics Branching processes Cancer Cell Kinetics Computational Biology Machine learning Multiple comparisons Statistical modeling Survivial Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249861 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Modeling for Biological Systems : In Memory of Andrei Yakovlev / Anthony Almudevar, David Oakes, Jack Hall ediors
| Statistical Modeling for Biological Systems : In Memory of Andrei Yakovlev / Anthony Almudevar, David Oakes, Jack Hall ediors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xii, 354 p. : ill. ; 24 cm |
| Soggetto topico |
01A70 - Biographies, obituaries, personalia, bibliographies [MSC 2020]
62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Andrei Yakovlev
Biological Systems Biostatistics Branching processes Cancer Cell Kinetics Computational Biology Machine learning Multiple comparisons Statistical modeling Survivial Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249861 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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