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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62K20 - Response surface designs [MSC 2020] |
| Soggetto non controllato |
ANOVA
Data analysis Excel Factor analysis Heteroscedasticity Mathematical statistics Mixed models Multivariate models Statistica Time series |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126672 |
Christensen, Ronald
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances and Trends in Non-conventional, Abrasive and Precision Machining
| Advances and Trends in Non-conventional, Abrasive and Precision Machining |
| Autore | Markopoulos Angelos P |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (152 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
electrical discharge machining
surface roughness white layer formation heat affected zone ANOVA aluminum alloy Al5052 wire EDM process parameters Inconel 617 super alloy DoE RSM method Box-Behnken design performance measures material removal rate abrasive machining single-sided lapping tool wear machine learning burnishing process fatigue strength ship propeller surface layer surface processing wavelet analysis decomposition of signals honing honing of holes kinematics of honing automation of honing abrasive grain trajectories FlexSim thermography abrasive brushing finishing fine machining grinding ceramics MgO-PSZ ZrO2 CNC turning rigidity surface texture profile parameters AISI 304 S355JR |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557740003321 |
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Markopoulos Angelos P
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Mineral Processing and Hydrometallurgy
| Advances in Mineral Processing and Hydrometallurgy |
| Autore | Anderson Corby G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (480 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
BOS filter cakes
butyric acid selective leaching leaching behaviors zinc iron chalcocite sulphide leaching copper reusing water desalination residue ecological treatment leaching black copper ore copper wad copper pitch comminution grinding circuit Swebrec function size distribution models modelling lateritic ore iron and steelmaking wastes alkalis aqueous treatment waste treatment reducing agent manganese viscoelasticity quartz kaolin seawater magnesium precipitates chalcopyrite concentrate hydrogen peroxide sulfuric acid leaching kinetics copper tailings rheology fractal aggregates thickening MnO2 acid media ANOVA dissolution arsenic trisulfide copper sulfate kinetics shrinking core model time-to-a-given-fraction kinetics analysis silica recovery column flotation mining waste waste reprocessing CuFeS2 chloride media manganese nodules thiosulfate gold leaching silver leaching kinetic analysis sedimentary ore diffusion control mixed control chalcopyrite ionic liquid bromide seawater flotation pyrite depression guar gum FBRM clay-based copper tailings fractal dimension mixing intensity population balance model seawater flocculation platinum-group metal metal precipitation ion-pair aliphatic primary amine hydrochloric acid enhanced flocculation water recovering magnesium removal shredded waste printed circuit boards precious metals bromine platinum group elements catalytic converters acidic fusion acidic leaching sulfation nitrate gas scrubbing recovery gold refractory nitric acid microwave coal fly ash sandy grade alumina AlCl3·6H2O crystallization salting-out method gibbsite precipitation electric arc furnace dust monosodium glutamate ammonia leaching high-pressure leaching copper extraction silver extraction desilication malachite carbonate ammonium hydroxide heterogeneous model rare earth elements NdFeB permanent magnet hydrometallurgical electrodialysis (ED) lithium lithium-ion battery lithium sulfate multistage concentration (MSC) gold cyanide leaching sulfide minerals SART process cyanidation activated carbon metal-cyanide complex copper ore carbon in pulp (CIP), agitated tank cyanide complexes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557511803321 |
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Anderson Corby G
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods for Medical and Cyber Security
| Computational Methods for Medical and Cyber Security |
| Autore | Luo Suhuai |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto non controllato |
fintech
financial technology blockchain deep learning regtech environment social sciences machine learning learning analytics student field forecasting imbalanced datasets explainable machine learning intelligent tutoring system adversarial machine learning transfer learning cognitive bias stock market behavioural finance investor’s profile Teheran Stock Exchange unsupervised learning clustering big data frameworks fault tolerance stream processing systems distributed frameworks Spark Hadoop Storm Samza Flink comparative analysis a survey data science educational data mining supervised learning secondary education academic performance text-to-SQL natural language processing database machine translation medical image segmentation convolutional neural networks SE block U-net DeepLabV3plus cyber-security medical services cyber-attacks data communication distributed ledger identity management RAFT HL7 electronic health record Hyperledger Composer cybersecurity password security browser security social media ANOVA SPSS internet of things cloud computing computational models metaheuristics phishing detection website phishing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066903321 |
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Luo Suhuai
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Dormann, Carsten F.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Excel 2013 for business statistics : a guide to solving practical problems / Thomas J. Quirk
| Excel 2013 for business statistics : a guide to solving practical problems / Thomas J. Quirk |
| Autore | Quirk, Thomas J. |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | XV, 260 p. : ill. ; 24 cm |
| 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] 97N80 - Mathematical software, computer programs (educational aspects) [MSC 2020] |
| Soggetto non controllato |
ANOVA
Applied business statistics Business statistics Excel 2013 Excel 2013 business statistics Financial statistics Regression modeling for business Statistical computing business Statistical modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125310 |
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Quirk, Thomas J.
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| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Excel 2016 for business statistics : a guide to solving practical problems / Thomas J. Quirk
| Excel 2016 for business statistics : a guide to solving practical problems / Thomas J. Quirk |
| Autore | Quirk, Thomas J. |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xv, 244 p. : ill. ; 24 cm |
| 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] 97N80 - Mathematical software, computer programs (educational aspects) [MSC 2020] |
| Soggetto non controllato |
ANOVA
Applied business statistics Business statistics Excel 2016 Business Statistics Excel 2016 Textbook Financial statistics Regression modeling for business Statistical computing business Statistical modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114737 |
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Quirk, Thomas J.
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Excel 2016 for Social Work Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Simone Cummings
| Excel 2016 for Social Work Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Simone Cummings |
| Autore | Quirk, Thomas J. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 250 p. : ill. ; 24 cm |
| Altri autori (Persone) | Cummings, Simone |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 68Nxx - Theory of software [MSC 2020] |
| Soggetto non controllato |
ANOVA
Confidence Interval Excel 2016 Multiple regression One-group t-test Random Number Generator Sample Size Standard Error of the Mean Standard deviation TINV function one-way analysis of variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124081 |
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Quirk, Thomas J.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Excel 2019 for business statistics : a guide to solving practical problems / Thomas J. Quirk
| Excel 2019 for business statistics : a guide to solving practical problems / Thomas J. Quirk |
| Autore | Quirk, Thomas J. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 248 p. : ill. ; 24 cm |
| 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] 97N80 - Mathematical software, computer programs (educational aspects) [MSC 2020] |
| Soggetto non controllato |
ANOVA
Applied business statistics Business statistics Excel 2019 Business Statistics Financial statistics Regression modeling for business Statistical computing business Statistical modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249091 |
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Quirk, Thomas J.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Excel 2019 for Social Work Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Simone Cummings
| Excel 2019 for Social Work Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Simone Cummings |
| Autore | Quirk, Thomas J. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xix, 262 p. : ill. ; 24 cm |
| Altri autori (Persone) | Cummings, Simone |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 68Nxx - Theory of software [MSC 2020] |
| Soggetto non controllato |
ANOVA
Confidence Interval Excel 2019 Multiple regression One-group t-test One-way analysis of variation Random Number Generator Sample Size Standard Error of the Mean Standard deviation TINV function |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274735 |
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Quirk, Thomas J.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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