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Advances in Evaporation and Evaporative Demand
| Advances in Evaporation and Evaporative Demand |
| Autore | Tegos Aristoteles |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
evapotranspiration
machine learning local spatial subhumid climate agricultural drought drought characteristics evapotranspiration deficit index parameter sensitivity temporal scale sensitivity water stress anomaly interception linear storage model evaporation cover crop water balance faba bean GK2A/AMI artificial neural network Korean Peninsula CWSI UAV remote sensing micrometeorological data spatial IRT measurements crop irrigation scheduling and management infrared radiometer sensors real-time data analysis water reservoir regression observed data ERA5-Land data R language precipitation drought Mann-Kendall trend analysis actual evapotranspiration potential evapotranspiration reference evapotranspiration evaporation paradox global dimming wind stilling forest fires groundwater stochastic simulation marginal structure long-range dependence Hurst-Kolmogorov dynamics RASPOTION parametric model hydrological calibration evapotranspiration estimation urban rain gardens lysimeters evapotranspiration models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879303321 |
Tegos Aristoteles
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Blue Economy and Resilient Development: Natural Resources, Shipping, People, and Environment
| Blue Economy and Resilient Development: Natural Resources, Shipping, People, and Environment |
| Autore | Gao Tianming |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Ukraine
coastal regions demographic structure regional economic performance sustainability Blue Economy (BE) sectors maritime transport legislative framework China connectivity COVID-19 pandemic maritime trade Polar Silk Road shipping blue economy (BE) coastal tourism bibliometric analysis R language CiteSpace VOSviewer visualization ASEAN comparative advantage fish fishery products RCEP seafood trade marine economic efficiency marine industrial structure upgrading spillover effect spatial Durbin model Arctic Zone of the Russian Federation blue economy coastal areas and municipalities regional and urban planning sustainable development strategies online education distance learning the Arctic region educational institutions employers ocean governance policy development transformation economic growth pollution panel data analysis oxidative stress heavy metals Danube River Black Sea machine learning fish stocks water quality forecast models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Blue Economy and Resilient Development |
| Record Nr. | UNINA-9910566464303321 |
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Gao Tianming
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Numerical Ecology with R / Daniel Borcard, François Gillet, Pierre Legendre
| Numerical Ecology with R / Daniel Borcard, François Gillet, Pierre Legendre |
| Autore | Borcard, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xv, 435 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Gillet, François
Legendre, Pierre |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 92D40 - Ecology [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
Canonical Ordination
Cluster analysis Data analysis Ecology Environmental Science Multiple Correspondence Analysis Numerical Ecology Principle Response Curves R code R language Spatial Analysis Unconstrained Ordination |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124906 |
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Borcard, Daniel
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Numerical Ecology with R / Daniel Borcard, François Gillet, Pierre Legendre
| Numerical Ecology with R / Daniel Borcard, François Gillet, Pierre Legendre |
| Autore | Borcard, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xv, 435 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Gillet, François
Legendre, Pierre |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92D40 - Ecology [MSC 2020] |
| Soggetto non controllato |
Canonical Ordination
Cluster analysis Data analysis Ecology Environmental Science Multiple Correspondence Analysis Numerical Ecology Principle Response Curves R code R language Spatial Analysis Unconstrained Ordination |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124906 |
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Borcard, Daniel
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah
| Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah |
| Autore | Aslam, Muhammad |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xvii, 292 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ullah, Muhammad Imdad |
| Soggetto non controllato |
Computing Statistics using R
Data analysis using R language Data handling in R Learning statistics using R R for statistical simulation R language |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0279268 |
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Aslam, Muhammad
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| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah
| Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah |
| Autore | Aslam, Muhammad |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xvii, 292 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ullah, Muhammad Imdad |
| Soggetto topico |
05A10 - Factorials, binomial coefficients, combinatorial functions [MSC 2020]
05C50 - Graphs and linear algebra (matrices, eigenvalues, etc.) [MSC 2020] 11K45 - Pseudo-random numbers; Monte Carlo methods [MSC 2020] 60E05 - Probability distributions: general theory [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62F10 - Point estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J15 - Paired and multiple comparisons; multiple testing [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 65C10 - Random number generation in numerical analysis [MSC 2020] 65F15 - Numerical computation of eigenvalues and eigenvectors of matrices [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 97P40 - Programming languages (educational aspects) [MSC 2020] 97P50 - Programming techniques (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Computing Statistics using R
Data analysis using R language Data handling in R Learning statistics using R R for statistical simulation R language |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279268 |
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Aslam, Muhammad
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| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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R for marketing research and analytics / Chris Chapman, Elea McDonnell Feit
| R for marketing research and analytics / Chris Chapman, Elea McDonnell Feit |
| Autore | Chapman, Chris |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XVIII, 454 p. : ill. ; 24 cm |
| Altri autori (Persone) | McDonnell Feit, Elea |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91G70 - Statistical methods; risk measures [MSC 2020] |
| Soggetto non controllato |
Marketing analysis
Marketing applications Marketing data analysis Marketing research Quantitative marketing R language R packages for marketing applications Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113344 |
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Chapman, Chris
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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R for marketing research and analytics / Chris Chapman, Elea McDonnell Feit
| R for marketing research and analytics / Chris Chapman, Elea McDonnell Feit |
| Autore | Chapman, Chris |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XVIII, 454 p. : ill. ; 24 cm |
| Altri autori (Persone) | McDonnell Feit, Elea |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 91G70 - Statistical methods; risk measures [MSC 2020] |
| Soggetto non controllato |
Marketing analysis
Marketing applications Marketing data analysis Marketing research Quantitative marketing R language R packages for marketing applications Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113344 |
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Chapman, Chris
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| 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
| 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 |
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Iacus, Stefano M.
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| 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
| 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 |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Gxx - 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-VAN00124995 |
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Iacus, Stefano M.
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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