Introduction to statistics and data analysis : with exercises, solutions and applications in R / Christian Heumann, Michael Schomaker, Shalabh |
Autore | Heumann, Christian |
Edizione | [2. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xvii, 584 p. : ill. ; 24 cm |
Altri autori (Persone) |
Schomaker, Michael
Shalabh |
Soggetto topico | 62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Applications of statistical methods
Descriptive statistical methods Explorative statistical methods Graphical representation of data Hypotheses testing Inductive statistical methods Linear regression Probability distributions Quantitative Data Analysis Random variables Statistical inference Statistical software Rintroduction to statistics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0277685 |
Heumann, Christian
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Cham, : Springer, 2022 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to statistics and data analysis : with exercises, solutions and applications in R / Christian Heumann, Michael Schomaker, Shalabh |
Autore | Heumann, Christian |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIII, 456 p. : ill. ; 24 cm |
Altri autori (Persone) |
Schomaker, Michael
Shalabh |
Soggetto topico |
62-XX - Statistics [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 |
Applications of statistical methods
Descriptive statistical methods Explorative statistical methods Graphical representation of data Hypotheses testing Inductive statistical methods Linear regression Probability distributions Quantitative Data Analysis Random variables Statistical inference Statistical software Rintroduction to statistics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114897 |
Heumann, Christian
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[Cham], : Springer, 2016 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes / Stefano M. Iacus, Nakahiro Yoshida |
Autore | Iacus, Stefano M. |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xiii, 268 p. : ill. ; 24 cm |
Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] |
Soggetto non controllato |
Adaptive Bayes estimation
Asynchronous covariance estimation Brownian Motions CARMA COGARCH CRAN Computational statistics Hypotheses testing LASSO model selection Lead-lag estimation Levy Lévy processes Malliavin Calculus Quasi maximum likelihood estimation R language Simulation and inference for stochastic processes Stochastic differential equations Structural change point analysis Wiener process YUIMA |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124995 |
Iacus, Stefano M.
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Cham, : Springer, 2018 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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