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Data-Driven Policy Impact Evaluation [[electronic resource] ] : How Access to Microdata is Transforming Policy Design / / edited by Nuno Crato, Paolo Paruolo
| Data-Driven Policy Impact Evaluation [[electronic resource] ] : How Access to Microdata is Transforming Policy Design / / edited by Nuno Crato, Paolo Paruolo |
| Autore | Crato Nuno |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2019 |
| Descrizione fisica | 1 online resource (XII, 346 p. 48 illus., 16 illus. in color.) |
| Disciplina | 320.6 |
| Soggetto topico |
Public policy
Statistics Public finance Econometrics Public Policy Statistics for Social Sciences, Humanities, Law Public Economics Statistics for Business, Management, Economics, Finance, Insurance |
| Soggetto non controllato |
Political science
Public policy Statistics Public finance Econometrics |
| ISBN | 3-319-78461-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I: Microdata for Policy Research -- Part II: Microdata Access -- Part III: Counterfactual Studies -- Part IV: Use of Results. |
| Record Nr. | UNINA-9910338020503321 |
Crato Nuno
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| Cham, : Springer Nature, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Forecasting and Assessing Risk of Individual Electricity Peaks [[electronic resource] /] / by Maria Jacob, Cláudia Neves, Danica Vukadinović Greetham
| Forecasting and Assessing Risk of Individual Electricity Peaks [[electronic resource] /] / by Maria Jacob, Cláudia Neves, Danica Vukadinović Greetham |
| Autore | Jacob Maria |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XII, 97 p. 38 illus., 35 illus. in color.) |
| Disciplina | 519 |
| Collana | SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans |
| Soggetto topico |
Mathematics
Statistics Energy efficiency Algorithms Energy systems Mathematics of Planet Earth Statistical Theory and Methods Energy Efficiency Energy Systems |
| Soggetto non controllato |
Mathematics
Statistics Energy efficiency Algorithms Energy systems |
| ISBN | 3-030-28669-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Short Term Load Forecasting -- Extreme Value Theory -- Extreme Value Statistics -- Case Study -- References -- Index. |
| Record Nr. | UNISA-996418258003316 |
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Jacob Maria
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Handbook of Mathematical Geosciences [[electronic resource] ] : Fifty Years of IAMG / / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg
| Handbook of Mathematical Geosciences [[electronic resource] ] : Fifty Years of IAMG / / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg |
| Autore | Daya Sagar B.S |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2018 |
| Descrizione fisica | 1 online resource (XXVIII, 914 p. 287 illus., 185 illus. in color.) |
| Disciplina | 553 |
| Soggetto topico |
Geology—Statistical methods
Mathematical physics Statistics Statistical physics Quantitative Geology Mathematical Applications in the Physical Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing/Statistics Programs Applications of Nonlinear Dynamics and Chaos Theory |
| Soggetto non controllato |
Earth sciences
Geology—Statistical methods Mathematical physics Statistics Statistical physics |
| ISBN | 3-319-78999-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Forward -- 2. Preface -- 3. Introduction -- 4. Part I. Chapter 1 Kriging, Splines, Conditional Simulation, Bayesian In-version and Ensemble Kalman Filtering -- 5. Chapter 2 A Statistical Commentary on Mineral Prospectivity analysis -- 6. Chapter 3 Testing joint conditional independence of categorical random variables with a standard log-likelihood ratio test -- 7. Chapter 4 Modelling Compositional Data. The Sample Space Approach -- 8. Chapter 5 Properties of Sums of Geological Random Variables -- 9. Chapter 6 A Statistical Analysis of the Jacobian in Retrievals of Satellite Data -- 10. Chapter 7 All Realizations All the Time -- 11. Chapter 8 Binary Coefficients Redux -- 12. Chapter 9 Tracking Plurigaussian Simulations -- 13. Chapter 10 Mathematical Geosciences: Local Singularity Analysis of Nonlinear Earth Processes and Extreme Geo-Events -- 14. Chapter 11 Electrofacies in Reservoir Characterization -- 15. Chapter 12 Forecast of Shoreline Variations by Means of Median Sets -- 16. Chapter 13 An Introduction to the Spatio-Temporal Analysis of Sat-ellite Remote Sensing Data for Geostatisticians -- 17. Chapter 14 Flint drinking water crisis: a first attempt to model geo-statistically the space-time distribution of water lead levels -- 18. Chapter 15 Statistical Parametric Mapping for Geoscience Applications -- 19. Chapter 16 Water chemistry: are new challenges possible from CoDA (Compositional Data Analysis) point of view? -- 20. Chapter 17 Analysis of the United States Portion of the North American Soil Geochemical Landscapes Project – A Compositional Framework Approach -- 21. Chapter 18 Quantifying the Impacts of Uncertainty -- 22. Chapter 19. Advances in Sensitivity Analysis of Uncertainty due to Sampling Density for Spatially Correlated Attributes -- 23. Chapter 20 Predicting Molybdenum Deposit Growth -- 24. Chapter 21 General Framework of Quantitative Target Selections -- 25. Chapter 22 Solving the Wrong Resource Assessment Problems Precisely -- 26. Chapter 23 two ideas for analysis of multivariate geochemical survey data: proximity regression and principal component residuals -- 27. Chapter 24 Mathematical minerals: A history of petrophysical petrography -- 28. Chapter 25 Geostatistics for Seismic Characterization of Oil Reservoirs -- 29. Chapter 26 Statistical Modeling of Regional and Worldwide Size-Frequency Distributions of Metal Deposits -- 30. Chapter 27 Bayesianism in the Geosciences -- 31.Chapter 28 Geological Objects and Physical Parameter Fields in the Subsurface: A Review -- 32.Chapter 29 Fifty Years of Kriging -- 33. Chapter 30 Multiple Point Statistics: A Review -- 34. Chapter 31 When Should We Use Multiple-Point Geostatistics? -- 35. Chapter 32 The Origins of the Multiple-Point Statistics (MPS) Algorithm -- 36. Chapter 33 Predictive Geometallurgy: An Interdisciplinary Key Challenge for Mathematical Geosciences? -- 37. Chapter 34 Data Science for Geoscience: Leveraging Mathematical Geosciences with Semantics and Open Data -- 38. Chapter 35 Mathematical Morphology in Geosciences and GISci: An Illustrative Review -- 39. Chapter 36 IAMG: Recollections from the Early Years -- 40. Chapter 37 Forward and Inverse Models over 70 Years -- 41. Chapter 38 From individual personal contacts 1962–1968 to my 50 years of service -- 42. Chapter 39 Andrey Borisovich Vistelius -- 43. Chapter 40 Fifty Years’ Experience with Hidden Errors in Applying Classic Mathematical Geology -- 44. Chapter 41 Mathematical Geology by Example: Teaching and Learning Perspectives. . |
| Record Nr. | UNINA-9910299389603321 |
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Daya Sagar B.S
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| Cham, : Springer Nature, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Market Segmentation Analysis : understanding it, doing it, and making it useful / / Sara Dolnicar, Bettina Grün, Friedrich Leisch
| Market Segmentation Analysis : understanding it, doing it, and making it useful / / Sara Dolnicar, Bettina Grün, Friedrich Leisch |
| Autore | Dolnicar Sara |
| Pubbl/distr/stampa | Singapore, : Springer Nature, 2018 |
| Descrizione fisica | 1 online resource (XXI, 324 p. 123 illus., 51 illus. in color.) |
| Disciplina | 658.83 |
| Collana | Management for professionals. |
| Soggetto topico |
Market research
Statistics Market Research/Competitive Intelligence Statistics for Business, Management, Economics, Finance, Insurance |
| Soggetto non controllato |
Business
Management science Market research Statistics |
| ISBN | 981-10-8818-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Introduction -- Chapter 1. Market segmentation -- Chapter 2. Market segmentation analysis -- Part II. Ten steps of market segmentation analysis -- Chapter 3. STEP 1: Deciding (not) to segment -- Chapter 4. STEP 2: Specifying the ideal target segment -- Chapter 5. STEP 3: Collecting data -- Chapter 6. STEP 4: Exploring data -- Chapter 7. STEP 5: Extracting segments -- Chapter 8. STEP 6: Profiling segments -- Chapter 9. STEP 7: Describing segments -- Chapter 10. STEP 8: Selecting (the) target segment(s) -- Chapter 11. STEP 9: Customising the marketing mix -- Chapter 12. STEP 10: Evaluation and monitoring. . |
| Record Nr. | UNINA-9910298176303321 |
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Dolnicar Sara
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| Singapore, : Springer Nature, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Understanding statistics and experimental design : how to not lie with statistics / / Michael H. Herzog, Gregory Francis, Aaron Clarke
| Understanding statistics and experimental design : how to not lie with statistics / / Michael H. Herzog, Gregory Francis, Aaron Clarke |
| Autore | Herzog Michael A |
| Edizione | [1st edition 2019.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2019 |
| Descrizione fisica | 1 online resource (XI, 142 p. 35 illus., 29 illus. in color.) |
| Disciplina | 611.01816 |
| Collana | Learning Materials in Biosciences |
| Soggetto topico |
Molecular biology
Biostatistics Science education Statistics Experiential research Behavioral sciences |
| Soggetto non controllato |
Medicine
Molecular biology Biostatistics Science education Statistics Experiential research Behavioral sciences |
| ISBN | 3-030-03499-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I -- Basic Probability Theory -- Experimental Design and the Basics of Statistics: Signal detection Theory (SDT) -- The Core Concept of Statistics -- Variations on the t-test -- PART II -- The Multiple Testing Problem -- ANOVA -- Experimental design: Model Fits, Power, and Complex Designs -- Correlation -- PART III -- Meta-analysis -- Understanding replication -- Magnitude of excess success -- Suggested improvements and challenges. |
| Record Nr. | UNINA-9910349447103321 |
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Herzog Michael A
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| Cham, : Springer Nature, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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