Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 | ||
| ||
Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / Nadja Bauer … [et al.] editors]
| Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / Nadja Bauer … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 340 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Biometrics Classification Clustering Computational statistics Data analysis Data science Design of experiments Econometrics Industrial engineering Industrial quality improvement Machine learning Music data analysis Statistical computing Statistical process control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126726 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Biological Networks
| Biological Networks |
| Autore | Neda Bagheri (Ed.) |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto non controllato |
Pathway crosstalk
Alzheimer’s disease Bioenergy crops Model identification Metabolic networks Host–pathogen interactions Single cell Parameter sensitivity Tuberculosis Multivariate statistical analysis Systems biology Biological networks Mathematical modeling Lignin biosynthesis Design of experiments |
| ISBN | 3-03897-434-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346851203321 |
|
Neda Bagheri (Ed.)
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Design and Analysis of Experiments / Angela Dean, Daniel Voss, Danel Draguljić
| Design and Analysis of Experiments / Angela Dean, Daniel Voss, Danel Draguljić |
| Autore | Dean, Angela |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxv, 840 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Draguljić, Danel
Voss, Daniel |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] |
| Soggetto non controllato |
Analysis of Experiments
Analysis of covariance Blocking factors Design of experiments Factorial experiments Fitting models Inference for Contrasts Planning experiments Polynomial regression Random effects Variation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123469 |
|
Dean, Angela
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Environmental Data Analysis : An Introduction with Examples in R / Carsten Dormann
| Environmental Data Analysis : An Introduction with Examples in R / Carsten Dormann |
| Autore | Dormann, Carsten F. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xix, 264 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
92D40 - Ecology [MSC 2020] |
| Soggetto non controllato |
ANOVA
Cluster analysis Data visualisation Design of experiments Environmetrics Generalized Linear Models Hypothesis Testing Maximum Likelihood Model selection Multiple regression Principal component analysis Regression |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249064 |
|
Dormann, Carsten F.
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Festschrift in Honor of R. Dennis Cook : Fifty Years of Contribution to Statistical Science / Efstathia Bura, Bing Li editors
| Festschrift in Honor of R. Dennis Cook : Fifty Years of Contribution to Statistical Science / Efstathia Bura, Bing Li editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiii, 192 p. : ill. ; 24 cm |
| Soggetto topico |
00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Big Data
Classification Design of experiments Dimension reduction Experimental design Graphics Minimum Discrepancy Approach Model-Free Variable Selection Multivariate Analysis Population genetics Regression Sliced Average Variance Estimation Sufficient Dimension Reduction Subspaces Sufficient dimesion reduction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274745 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Foundations of applied statistical methods / Hang Lee
| Foundations of applied statistical methods / Hang Lee |
| Autore | Lee, Hang |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | X, 161 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Applied Statistics
Descriptive Statistics Design of experiments Probability Statistical inference Survival time data analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103236 |
|
Lee, Hang
|
||
| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Linear Models and Design / Jay H. Beder
| Linear Models and Design / Jay H. Beder |
| Autore | Beder, Jay H. |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxi, 343 p. : ill. ; 24 cm |
| Soggetto non controllato |
Analysis of variance
Cell-means Model Confounding with Blocks Design of experiments Fractional Factorial Design Least squares estimation Linear Models Simultaneous Inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277759 |
|
Beder, Jay H.
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 | ||
| ||
Statistical analysis and data display : an intermediate course with examples in R / Richard M. Heiberger, Burt Holland
| Statistical analysis and data display : an intermediate course with examples in R / Richard M. Heiberger, Burt Holland |
| Autore | Heiberger, Richard M. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XXXI, 898 p. : ill. ; 24 cm |
| Altri autori (Persone) | Holland, Burt |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] |
| Soggetto non controllato |
Design of experiments
Graphical Design Graphical displays Introduction to probability and inference Lickert Scale Data Nonparametric Statistics R Commander R Statistics Textbook Rating ScalesShiny |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113098 |
|
Heiberger, Richard M.
|
||
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
