A Guide to Statistical Methods and to the Pertinent Literature / Lothar Sachs |
Autore | Sachs, Lothar |
Pubbl/distr/stampa | Berlin, : Springer, 1986 |
Descrizione fisica | xi, 212 p. : ill. ; 24 cm |
Soggetto topico | 62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Statistical Methods
Statistics |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione |
ger
eng |
Record Nr. | UNICAMPANIA-VAN0263681 |
Sachs, Lothar | ||
Berlin, : Springer, 1986 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn / Peter Filzmoser ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xviii, 404 p. : ill. ; 24 cm |
Soggetto non controllato |
CoDa applications in geology and the health sciences
Compositional data analysis Compositions Fundamentals of compositional data analysis Log-ratio approach Proportions and percentages Simplex Statistical Methods complex data structures |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274513 |
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Advances in latent variables : methods, models and applications / Maurizio Carpita, Eugenio Brentari, El Mostafa Qannari editors |
Pubbl/distr/stampa | [Cham], : Springer, 2015 |
Descrizione fisica | IX, 285 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Complex real-life phenomena
Latent Vaiables Statistical Methods |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0113225 |
[Cham], : Springer, 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
Autore | Haslwanter, Thomas |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114408 |
Haslwanter, Thomas | ||
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 156 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248705 |
Cham, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R / Kristian Kleinke ... [et al.] |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xi, 292 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62D10 - Missing data [MSC 2020] |
Soggetto non controllato |
Conditional modeling
Consequences of misspecification Incompletely observed data sets Joint modeling Missing data Missing values Multiple imputation Quality diagnostics R packages, norm pan and mice Statistical Methods Statistical inference |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248712 |
Cham, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | ix, 159 p. : ill. ; 24 cm |
Soggetto non controllato |
Actuarial mathematics
Computational statistics Data Analytics Data Mining Data science Environmental Statistics Probability and Statistics in Computer Science Small area estimation Statistical Methods Supply chain Survival analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274563 |
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup |
Autore | Wendler, Tilo |
Edizione | [2. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xv, 1274 p. : ill. ; 24 cm |
Altri autori (Persone) | Gröttrup, Sören |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Classification models
Cluster analysis Cross-industry standard process for data mining Data Mining Data mining processes Factor analysis IBM SPSS Modeler Imbalanced Data Multivariate statistics Predictive analytics R and SPSS Modeler Regression models Resampling techniques Statistical Methods Statistical software |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0274692 |
Wendler, Tilo | ||
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup |
Autore | Wendler, Tilo |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XII, 1059 p. : ill. ; 24 cm |
Altri autori (Persone) | Gröttrup, Sören |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Data Mining
Exercises and solutions IBM SPSS Modeler Mathematical software Predictive analytics Statistical Methods |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114598 |
Wendler, Tilo | ||
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Data Science and Social Research 2. : Methods, Technologies and Applications / Paolo Mariani, Mariangela Zenga editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | ix, 394 p. : ill. ; 24 cm |
Soggetto non controllato |
Applied Statistics
Big Data Complex social systems Data revolution in social research Data science Large data sets Machine learning Quality in big data Social data sources Social science research Statistical Methods Statistics and data science in the social sciences |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274694 |
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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