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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 online resource (214 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
actual evapotranspiration
agricultural drought artificial neural network cover crop crop irrigation scheduling and management CWSI drought drought characteristics ERA5-Land data evaporation evaporation paradox evapotranspiration evapotranspiration deficit index evapotranspiration estimation evapotranspiration models faba bean forest fires GK2A/AMI global dimming groundwater Hurst-Kolmogorov dynamics hydrological calibration infrared radiometer sensors interception Korean Peninsula linear storage model local long-range dependence lysimeters machine learning Mann-Kendall marginal structure micrometeorological data n/a observed data parameter sensitivity parametric model potential evapotranspiration precipitation R language RASPOTION real-time data analysis reference evapotranspiration regression remote sensing spatial spatial IRT measurements stochastic simulation subhumid climate temporal scale sensitivity trend analysis UAV urban rain gardens water balance water reservoir water stress anomaly wind stilling |
| 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 online resource (318 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Arctic Zone of the Russian Federation
ASEAN bibliometric analysis Black Sea blue economy blue economy (BE) Blue Economy (BE) sectors China CiteSpace coastal areas and municipalities coastal regions coastal tourism comparative advantage connectivity COVID-19 pandemic Danube River demographic structure distance learning economic growth educational institutions employers fish fish stocks fishery products forecast models heavy metals legislative framework machine learning marine economic efficiency marine industrial structure upgrading maritime trade maritime transport ocean governance online education oxidative stress panel data analysis Polar Silk Road policy development pollution R language RCEP regional and urban planning regional economic performance seafood shipping spatial Durbin model spillover effect sustainability sustainable development strategies the Arctic region trade transformation Ukraine visualization VOSviewer water quality |
| 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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