Trends in Mathematical, Information and Data Sciences

Table of Contents

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   Book Overview
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   Chapter 1 Using Taxes to Manage Energy Resources Related to Stock Pollutants: Resource Cartel versus Importers
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   Chapter 2 A New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects
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   Chapter 3 Variogram Model Selection
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   Chapter 4 On First Passage Times in Discrete Skeletons and Uniformized Versions of a Continuous-Time Markov Chain
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   Chapter 5 A Numerical Approximation of a Two-Dimensional Atherosclerosis Model
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   Chapter 6 Limit Results for $$L^p$$ L p Functionals of Weighted CUSUM Processes
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   Chapter 7 Generalized Models for Binary and Ordinal Responses
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   Chapter 8 Approximations of $$\delta $$-Record Probabilities in i.i.d. and Trend Models
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    Chapter 9 The Relative Strength Index (RSI) to Monitor GDP Variations. Comparing Regions or Countries from a New Perspective
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    Chapter 10 Escape Probabilities from an Interval for Compound Poisson Processes with Drift
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    Chapter 11 A Note on the Notion of Informative Composite Density
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    Chapter 12 Equivalence Tests for Multinomial Data Based on $$\phi $$ ϕ -Divergences
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    Chapter 13 Minimum Rényi Pseudodistance Estimators for Logistic Regression Models
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    Chapter 14 Infinite–Dimensional Divergence Information Analysis
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    Chapter 15 A Model Selection Criterion for Count Models Based on a Divergence Between Probability Generating Functions
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    Chapter 16 On the Choice of the Optimal Tuning Parameter in Robust One-Shot Device Testing Analysis
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    Chapter 17 Optimal Spatial Prediction for Non-negative Spatial Processes Using a Phi-divergence Loss Function
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    Chapter 18 On Entropy Based Diversity Measures: Statistical Efficiency and Robustness Considerations
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    Chapter 19 Statistical Distances in Goodness-of-fit
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    Chapter 20 Phi-divergence Test Statistics Applied to Latent Class Models for Binary Data
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    Chapter 21 Cross-sectional Stochastic Frontier Parameter Estimator Using Kulback-Leibler Divergence
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    Chapter 22 Clustering and Representation of Time Series. Application to Dissimilarities Based on Divergences
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    Chapter 23 Proportional Odds COM-Poisson Cure Rate Model with Gamma Frailty and Associated Inference and Application
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    Chapter 24 On Residual Analysis in the GMANOVA-MANOVA Model
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    Chapter 25 Computational Efficiency of Bagging Bootstrap Bandwidth Selection for Density Estimation with Big Data
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    Chapter 26 Optimal Experimental Design for Physicochemical Models: A Partial Review
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    Chapter 27 Small Area Estimation of Proportion-Based Indicators
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    Chapter 28 Non-parametric Testing of Non-inferiority with Censored Data
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    Chapter 29 A Review of Goodness-of-Fit Tests for Models Involving Functional Data
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    Chapter 30 An Area-Level Gamma Mixed Model for Small Area Estimation
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    Chapter 31 On the Consistence of the Modified Median Estimator for the Logistic Regression Model
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    Chapter 32 Analyzing the Influence of the Rating Scale for Items in a Questionnaire on Cronbach Coefficient Alpha
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    Chapter 33 Robust LASSO and Its Applications in Healthcare Data
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    Chapter 34 Machine Learning Procedures for Daily Interpolation of Rainfall in Navarre (Spain)
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    Chapter 35 Testing Homogeneity of Response Propensities in Surveys
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    Chapter 36 Use of Free Software to Estimate Sensitive Behaviours from Complex Surveys
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    Chapter 37 Inference with Median Distances: An Alternative to Reduce the Influence of Outlier Populations
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    Chapter 38 Empirical Analysis of the Maxbias of the Fuzzy MDD-based Hampel M-estimator of Location