Advanced Calculus for Economics and Finance : Theory and Methods / / by Giulio Bottazzi
| Advanced Calculus for Economics and Finance : Theory and Methods / / by Giulio Bottazzi |
| Autore | Bottazzi Giulio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (320 pages) |
| Disciplina | 515.02433 |
| Collana | Classroom Companion: Economics |
| Soggetto topico |
Econometrics
Social sciences—Mathematics Statistics Quantitative Economics Mathematics in Business, Economics and Finance Statistics in Business, Management, Economics, Finance, Insurance |
| ISBN | 3-031-30316-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Preliminaries -- Chapter 2. Topology -- Chapter 3. Metric Spaces -- Chapter 4. Normed Spaces -- Chapter 5. Sequences and Series -- Chapter 6. Differential Calculus of functions of one variable -- Chapter 7. Functions of several variables -- Chapter 8. Integral Calculus -- Chapter 9. Measure Theory. |
| Record Nr. | UNINA-9910746089703321 |
Bottazzi Giulio
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Portfolio Optimization : A Cutting-edge Quantitative Approach / / by Dany Cajas
| Advanced Portfolio Optimization : A Cutting-edge Quantitative Approach / / by Dany Cajas |
| Autore | Cajas Dany |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XV, 503 p. 216 illus., 186 illus. in color.) |
| Disciplina | 300.727 |
| Soggetto topico |
Statistics
Data mining Machine learning Valuation Financial risk management Statistics in Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Machine Learning Investment Appraisal Risk Management Estadística Mineria de dades Aprenentatge automàtic Valoració Gestió del risc Estadística econòmica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031843044
3031843045 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Introduction -- Chapter 2 Why use Python? -- Part I Parameter Estimation -- Chapter 3 Sample Based Methods -- Chapter 4 Risk Factors Models -- Chapter 5 Black Litterman Models -- Chapter 7 Convex Risk Measures -- Chapter 8 Return-Risk Trade-Off Optimization -- Chapter 9 Real Features Constraints -- Chapter 10 Risk Parity Optimization -- Chapter 11 Robust Optimization -- Part III Machine Learning Portfolio Optimization -- Chapter 12 Hierarchical Clustering Portfolios -- Chapter 13 Graph Theory Based Portfolios -- Part IV Backtesting -- Chapter 14 Generation of Synthetic Data -- Chapter 15 Backtesting Process -- Part V Appendix -- Chapter A Linear Algebra -- Chapter B Convex Optimization -- Chapter C Mixed Integer Programming. |
| Record Nr. | UNINA-9910999679103321 |
Cajas Dany
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Statistical Methods in Data Science / / edited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu
| Advanced Statistical Methods in Data Science / / edited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVI, 222 p. 41 illus., 20 illus. in color.) |
| Disciplina | 519.50285 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Statistics
Quantitative research Statistical Theory and Methods Data Analysis and Big Data Statistics in Business, Management, Economics, Finance, Insurance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Data Analysis Based on Latent or Dependent Variable Models -- Chapter 1: A New Method for Robust Mixture Regression and Outlier Detection -- Chapter 2: The Mixture Gatekeeping Procedure Based on Weighted Multiple Testing Correction for Correlated Tests -- Chapter 3: Regularization in Regime-switching Gaussian Autoregressive Models -- Chapter 4: Modeling Zero Inflation and Over-dispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease -- Chapter 5: Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-Agent Combination Trials -- Part II: Life Time Data Analysis -- Chapter 6: Group Selection in Semi-parametric Accelerated Failure Time Model -- Chapter 7: A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Data -- Chapter 8: Empirical Likelihood Inference under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation -- Chapter 9: Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials -- Part III: Applied Data Analysis -- Chapter 10: Confidence Weighting Procedures for Multiple Choice Tests -- Chapter 11: Improving the Robustness of Parametric Imputation -- Chapter 12: Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution -- Chapter 13: Dividend Pay-out Problems with the Logarithmic Utility -- Chapter 14: Modeling the Common Risk among Equities: A Multivariate Time Series Model with an Additive GARCH Structure. |
| Record Nr. | UNINA-9910155548503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid / / edited by Sven Knoth, Yarema Okhrin, Philipp Otto
| Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid / / edited by Sven Knoth, Yarema Okhrin, Philipp Otto |
| Autore | Knoth Sven |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
OkhrinYarema
OttoPhilipp |
| Soggetto topico |
Statistics
Environmental sciences - Mathematics Statistical Theory and Methods Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics in Business, Management, Economics, Finance, Insurance Mathematical Applications in Environmental Science |
| ISBN |
9783031691119
3031691113 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | - Part I Statistical Process Monitoring -- More On the Quasi-Stationary Distribution of the Shiryaev–Roberts Diffusion -- CUSUM schemes for stationary and nonstationary Gaussian processes -- Distribution-Free Multivariate Phase I Shewhart Control Charts: Analysis, Comparisons and Recommendations -- Quick Detection Updating Variable Life-Adjusted Display -- Monitoring complex segmented streams of data using bootstrap control charts -- Some Stylized Facts of the Conditional Expected Delay (CED) -- Stochastic Ordering in the Performance Analysis of Control Charts for Binomial AR(1) Processes -- An Integrated Approach for Designing a Phase I C-Control Chart Based on the Phase II Performance of Poisson Exponentially Weighted Moving Average Control Chart -- Control Charts for Poisson Counts based on the Stein–Chen Identity -- Misguided Statistical Process Monitoring Approaches -- Part II Statistics in Finance -- The Empirical Similarity Approach for Combining Predictions of Portfolio Weights -- Linear Shrinkage-Based Hypothesis Test for Large Dimensional Covariance Matrix -- Estimation of Optimal Portfolio Compositions for Small Sample and Singular Covariance Matrix -- Shrinkage Estimation of the Intercept Parameter in Linear Regression -- Intergenerational social mobility in the United States: a multivariate analysis using distributional regression -- Can we give the Maximum Sharpe Ratio Portfolio a Chance? -- On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks -- Part III Environmetrics and Spatial Statistics -- A Bivariate Spatiotemporal Analysis of Breast Cancer and Lung Cancer Mortality and Incidence in the United States -- To what extent airborne particulate matters are influenced by ammonia and nitrogen oxides? -- A deep-learning approach for reducing the probability of false alarms in smartphone-based earthquake early warning systems -- When things get extreme: Records and crashes -- Spatial autoregressive fractionally integrated moving average model -- A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review -- On the estimation of smooth maps from regional aggregates via measurement error models: A review. |
| Record Nr. | UNINA-9910897985603321 |
Knoth Sven
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan / / edited by Abdelaati Daouia, Anne Ruiz-Gazen
| Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan / / edited by Abdelaati Daouia, Anne Ruiz-Gazen |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (713 pages) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Econometrics Social sciences - Statistical methods Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 3-030-73249-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Contributors -- Nonparametric Statistics and Econometrics -- Profile Least Squares Estimators in the Monotone Single Index Model -- 1 Introduction -- 2 General Conditions and the Functions n, and ψ -- 3 The Limit Theory for the SSE -- 4 The Limit Theory for ESE and Cubic Spline Estimator -- 5 Simulation and Comparisons with Other Estimators -- 6 Concluding Remarks -- References -- Optimization by Gradient Boosting -- 1 Introduction -- 2 Gradient Boosting -- 2.1 Mathematical Context -- 2.2 Some Examples -- 2.3 Two Algorithms -- 3 Convergence of the Algorithms -- 3.1 Algorithm 1 -- 3.2 Algorithm 2 -- 4 Large Sample Properties -- References -- Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area -- 1 Introduction -- 2 Estimation of the Cdf of a Censored Variable in a Small Area -- 2.1 Framework -- 2.2 Direct Estimators -- 2.3 The New Small Area Estimator -- 3 Model-Based Simulations -- 3.1 Description -- 3.2 Results -- 4 Example -- 5 Concluding Remarks -- References -- Relaxing Monotonicity in Endogenous Selection Models and Application to Surveys -- 1 Introduction -- 2 Preliminaries -- 2.1 Notations -- 2.2 Baseline Setup -- 2.3 NMAR Missing Data -- 3 Models with One Unobservable in the Endogenous Selection -- 4 Monotonicity -- 5 A Random Coefficients Model for the Selection Equation -- 5.1 Scaling to Handle Genuine Non Instrument Monotonicity -- 5.2 Alternative Scaling Under a Weak Version of Monotonicity -- 6 Application to Missing Data in Surveys -- References -- B-Spline Estimation in a Survey Sampling Framework -- 1 Introduction -- 2 B-Spline Model-Assisted Estimator for Finite Population Totals -- 2.1 B-Spline Model-Assisted Estimation -- 2.2 B-Spline Calibration Estimator.
3 B-Spline Model-Assisted Estimator for Complex Parameters -- 4 B-Spline Imputation for Handling Item Nonresponse -- References -- Computational Outlier Detection Methods in Sliced Inverse Regression -- 1 Introduction -- 2 A Brief Review on Usual SIR -- 3 Outlier Detection Methods in SIR -- 3.1 A Naive Method -- 3.2 TTR Method -- 3.3 BOOT Method -- 4 A Numerical Example -- 4.1 Description of the Simulated Dataset -- 4.2 Numerical Results -- 5 Simulation Results -- 6 A Real Data Application -- 7 Concluding Remarks and Extensions -- References -- Uncoupled Isotonic Regression with Discrete Errors -- 1 Introduction -- 2 Estimation in Uncoupled Regression with Discrete Errors -- 3 Comparison with Coupled Isotonic Regression -- 4 Additional Proofs -- References -- Quantiles and Expectiles -- Partially Linear Expectile Regression Using Local Polynomial Fitting -- 1 Introduction -- 2 Partially Linear Expectile Regression -- 3 Statistical Estimation Methodology -- 3.1 Estimation of the Vector of Regression Coefficients -- 3.2 Estimation of the Nonparametric Part -- 4 Asymptotic Properties and Bandwidth Selection -- 4.1 Optimal Theoretical Bandwidth (Matrix) -- 4.2 Rule-of-Thumb (ROT) Bandwidth Selector -- 5 Simulation Study -- 5.1 Simulation Results for Model 1 -- 5.2 Simulation Results for Model 2 -- 6 Real Data Application -- 7 Further Reading -- References -- Piecewise Linear Continuous Estimators of the Quantile Function -- 1 Introduction -- 2 The Piecewise Quantile Estimators -- 2.1 Definition -- 2.2 First Properties -- 2.3 Mean Integrated Squared Error -- 3 Discussion -- Appendix -- References -- Single-Index Quantile Regression Models for Censored Data -- 1 Introduction -- 2 Model and Estimation -- 3 Asymptotic Results -- 4 Bandwidth Selection -- 5 Numerical Results -- 6 Case Study -- References -- Extreme Lp-quantile Kernel Regression. 1 Introduction -- 2 Lp-quantile Kernel Regression -- 3 Main Results -- 3.1 Intermediate Lp-quantile Regression -- 3.2 Extreme Lp-quantile Regression -- 3.3 Lp-quantile-Based Estimation of the Conditional Tail Index -- 4 Simulation Study -- 5 Real Data Example -- 6 Appendix -- 6.1 Preliminary Results -- 6.2 Proofs of Main Results -- References -- Robust Efficiency Analysis of Public Hospitals in Queensland, Australia -- 1 Introduction -- 2 Methodology -- 2.1 Theoretical Concepts -- 2.2 Nonparametric Estimators -- 3 Variables and Data -- 4 Results and Discussions -- 4.1 Univariate Input-Output Illustration -- 4.2 Main Analysis: Multiple Inputs Case -- 5 Concluding Remarks -- References -- On the Behavior of Extreme d-dimensional Spatial Quantiles Under Minimal Assumptions -- 1 Introduction -- 2 Results -- 3 Proofs -- References -- Modelling Flow in Gas Transmission Networks Using Shape-Constrained Expectile Regression -- 1 Introduction -- 2 Description of Data and Motivation -- 2.1 Data -- 2.2 Previous Models and Advantages of the New Approach -- 3 Methods -- 3.1 Geoadditive Regression Models -- 3.2 Shape-Constrained P-splines -- 3.3 Semiparametric Expectile Regression -- 4 Estimating and Forecasting Gas Flow -- 4.1 Results -- 4.2 Risk Analysis -- 5 Conclusion -- References -- Spatial Statistics and Econometrics -- Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs -- 1 Introduction -- 2 Framework and Notations -- 2.1 Gaussian Processes and Covariance Functions -- 2.2 Classical Families of Covariance Functions -- 2.3 Maximum Likelihood -- 3 Increasing-Domain Asymptotics -- 3.1 Consistency -- 3.2 Asymptotic Normality -- 4 Fixed-Domain Asymptotics -- 4.1 What Changes -- 4.2 Microergodic and Non-microergodic Parameters. 4.3 Consistent Estimation of the Microergodic Parameter of the Isotropic Matérn Model -- 5 Conclusion -- References -- Global Scan Methods for Comparing Two Spatial Point Processes -- 1 Introduction -- 2 Methodology -- 2.1 Spatial Scan Statistics for Bivariate Data -- 2.2 Significance Issues -- 3 Applications -- 3.1 Simulation Study -- 3.2 Forest Fire Occurrences -- 4 Discussion -- References -- Assessing Spillover Effects of Spatial Policies with Semiparametric Zero-Inflated Models and Random Forests -- 1 Introduction -- 2 Conditional Average Treatment Effect, Identification and Model Specification -- 2.1 Identification Issues and Conditional Independence Assumption -- 2.2 Zero Inflation and Conditional Mixtures -- 3 Econometric Modeling and Estimation Procedures -- 3.1 A Flexible Semi-parametric Modeling Approach Based on Additive Models and Conditional Mixtures -- 3.2 Estimation of the Conditional Treatment Effect with Random Forests -- 4 An Illustration on the Estimation of the Effect of Local Development Policies in France -- 4.1 Description of the Policy and Data -- 4.2 Estimation Results and Counterfactual Analysis at the Municipality Level -- 5 Conclusion -- References -- Spatial Autocorrelation in Econometric Land Use Models: An Overview -- 1 Introduction -- 2 Econometric Land Use Models -- 3 Linear Land Use Models -- 3.1 Land Use Share Models -- 3.2 Spatial Autocorrelation in Linear Models -- 3.3 Example of Spatial Land Studies with Linear Models -- 4 Discrete Choice Land Use Models -- 4.1 Individual Choice Land Use Model -- 4.2 Spatial Autocorrelation in Discrete Choice Models -- 4.3 Examples of Spatial Land Use Studies with Discrete Choice Models -- 5 Land Use and Its Impacts on the Environment -- 5.1 Land Use and ES -- 5.2 Land Use and Water Quality -- 5.3 Land Use and Climate Change -- 6 Conclusion -- References. Modeling Dependence in Spatio-Temporal Econometrics -- 1 Introduction -- 2 Spatio-Temporal Statistics -- 2.1 Uncertainty and Data -- 2.2 Uncertainty and Models -- 2.3 Conditional Probabilities in a Hierarchical Statistical Model (HM) -- 2.4 ``Classical'' Statistical Modeling -- 3 Spatio-Temporal-Econometric Modeling -- 3.1 Spatial Description and Temporal Dynamics: A Simple Example -- 3.2 Time Series of Spatial Processes -- 3.3 Space-Time Autoregressive Moving Average (STARMA) Models -- 4 Spatial-Econometric Modeling -- 5 Modern Spatio-Temporal-Econometric Hierarchical Models -- 6 Concluding Remarks -- References -- Guidelines on Areal Interpolation Methods -- 1 Introduction -- 1.1 Motivation -- 1.2 Context -- 2 Notations -- 3 Data -- 3.1 Target Zones -- 3.2 First Source Scale: The Cells -- 3.3 Second Source Scale: The Iris -- 3.4 Variables to Estimate -- 4 Point-in-Polygon Method -- 4.1 Extensive Variables -- 4.2 Intensive Variables -- 4.3 Limitation of the Point-in Polygon Method -- 5 Areal Weighting Interpolation Method -- 5.1 Extensive Variable -- 5.2 Intensive Variable -- 6 Dasymetric Method with Auxiliary Variable X -- 6.1 Extensive Variables -- 6.2 Intensive Variables -- 7 Dasymetric Method with Control Zones -- 7.1 Presentation of the Method -- 7.2 Comparison Between DAC and DAX -- 8 Regression Modelling -- 8.1 Covariates and Exploratory Analysis -- 8.2 Linear Modelling -- 8.3 Regression Tree -- References -- Predictions in Spatial Econometric Models: Application to Unemployment Data -- 1 Introduction -- 1.1 Related Literature -- 2 Notation, Models, and Prediction Formula -- 2.1 Notation and the Spatial Autoregressive Durbin Model -- 2.2 In-Sample and Out-of-Sample Units -- 2.3 In-Sample Prediction Formulas -- 2.4 Out-of-Sample Prediction Formulas -- 3 Application -- 3.1 Theoretical Explanations for Regional Unemployment Differentials. 3.2 Data and Definition of Neighborhood Structure. |
| Record Nr. | UNINA-9910485587103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute—Proceedings 2017 / / edited by Ratan Dasgupta
| Advances in Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute—Proceedings 2017 / / edited by Ratan Dasgupta |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 202 p. 132 illus., 81 illus. in color.) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Economic development Econometrics Statistics in Business, Management, Economics, Finance, Insurance Economic Growth Statistical Theory and Methods |
| ISBN |
9789811309809
981-13-0980-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Longitudinal studies on Mathematical Aptitude and Intelligence Quotient in North Eastern tribes -- Cross sectional studies on Mathematical Aptitude and Intelligent Quotient in North Eastern tribes -- Retrospective longitudinal studies of social environment in North Eastern tribes -- Growth models for repeated measurement mixture experiments -- Growth models for repeated measurement mixture experiments: optimal designs for growth prediction -- An overview of growth and nutritional status among 5-18 year children in India -- Growth model for micro-particle ensemble probability -- Past and present status of Mangroves in Sunderban from ecological viewpoint -- Longitudinal Growth curve of Elephant foot yam under stress and plant sensitivity. |
| Record Nr. | UNINA-9910349474503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Latent Variables : Methods, Models and Applications / / edited by Maurizio Carpita, Eugenio Brentari, El Mostafa Qannari
| Advances in Latent Variables : Methods, Models and Applications / / edited by Maurizio Carpita, Eugenio Brentari, El Mostafa Qannari |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (284 p.) |
| Disciplina | 519.535 |
| Collana | Selected Papers of the Statistical Societies |
| Soggetto topico |
Statistics
Biometry Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics |
| ISBN | 3-319-02967-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I: Latent Variables -- Part II: Methods, Models and Applications. |
| Record Nr. | UNINA-9910299769603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Approaches to Sociological Issues / / edited by Miki Nakai
| Advances in Quantitative Approaches to Sociological Issues / / edited by Miki Nakai |
| Autore | Nakai Miki |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (225 pages) |
| Disciplina | 300.727 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Social sciences - Statistical methods
Statistics Labor economics Social policy Political science Economics Culture Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics in Business, Management, Economics, Finance, Insurance Labor Economics Social Policy Political Science Cultural Economics |
| ISBN | 981-9671-09-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Foreword -- 1 Modeling the structure of social phenomena -- 2 Discrete latent variable models -- 3 High-dimensional data analysis -- 4 Approaches to analysis with missing data -- 5 Longitudinal data analysis -- 6 Attitudinal data analysis -- 7 Time series and cross-national comparisons of occupational segregation -- 8 Visualization of social mechanisms -- 9 Statistical approaches to the characteristics of the occupational structure. |
| Record Nr. | UNINA-9911011818403321 |
Nakai Miki
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Statistical Models for Data Analysis / / edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi
| Advances in Statistical Models for Data Analysis / / edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Social sciences - Statistical methods Statistical Theory and Methods Statistics and Computing Statistics in Business, Management, Economics, Finance, Insurance Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 3-319-17377-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Using the dglars Package to Estimate a Sparse Generalized Linear Model -- A Depth function for Geostatistical Functional Data -- Robust Clustering of EU Banking Data -- Sovereign Risk and Contagion Effects in the Eurozone: a Bayesian Stochastic Correlation Model -- Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries -- Asymptotics in Survey Sampling for High Entropy Sampling Design -- A Note On the Use of Recursive Partitioning in Causal Inference -- Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach -- Families of Parsimonious Finite Mixtures of Regression Models -- Quantile Regression for Clustering and Modeling Data -- Non-metric MDS Consensus Community Detection -- The performance of the Gradient-like Influence Measure in Generalized Linear Mixed Models -- New Flexible Probability Distributions for Ranking Data -- Robust Estimation of Regime Switching Models -- Incremental Visualization of Categorical Data -- A new Proposal for Tree Model Selection and Visualization -- Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys -- Comparing Fuzzy and Multidimensional Methods to Evaluate Well-being in European Regions -- Cluster Analysis of Three-way Atmospheric Data -- Asymmetric CLUster Analysis Based on SKEW-symmetry: ACLUSKEW -- Parsimonious Generalized Linear Gaussian Cluster-Weighted Models -- New perspectives for the MDC Index in Social Research Fields -- Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches -- Novelty Detection with One-class Support Vector Machines -- Using Discrete-time Multi-State Models to Analyze Students' University Pathways. |
| Record Nr. | UNINA-9910300242403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Theoretical and Applied Statistics / / edited by Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen
| Advances in Theoretical and Applied Statistics / / edited by Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (524 p.) |
| Disciplina | 001.422 |
| Altri autori (Persone) |
TorelliNicola
PesarinFortunato Bar-HenAvner |
| Collana | Selected Papers of the Statistical Societies |
| Soggetto topico |
Statistics
Biometry Social sciences - Statistical methods Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-642-35588-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras) -- Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).- New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore) -- On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri) -- Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini) -- Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici) -- Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone) -- Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini) -- Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale) -- A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde) -- Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo) -- Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas) -- Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo) -- Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and FredericoCaeiro) -- Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona) -- A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin) -- Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi) -- How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves) -- Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos) -- A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani) -- A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen) -- Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini) -- Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini) -- Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini) -- Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand) -- Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri) -- Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco) -- Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale) -- Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati) -- Part V SocialStatistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin) -- Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta) -- Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari) -- Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro Solipaca and Giovanni de Girolamo) -- Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.) -- Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale) -- The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia) -- Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri) -- Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi) -- Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda andLuigi Grossi) -- A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto) -- Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi) -- Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo) -- Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati) -- The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari) -- Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini) -- Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti) -- Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris). |
| Record Nr. | UNINA-9910739403603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
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