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On a bivariate copula for modeling negative dependence: application to New York air quality data
In many practical scenarios, including finance, environmental sciences, system reliability, etc., it is often of interest to study the various notion...
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Spatiotemporal Event Studies for Environmental Data Under Cross-Sectional Dependence: An Application to Air Quality Assessment in Lombardy
We propose a twofold adjustment for Event Studies considering spatiotemporal data in a multivariate time series framework where the data are...
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The Impact of the Lockdown Restrictions on Air Quality During COVID-19 Pandemic in Lombardy, Italy
Environmental agencies and scientists around Europe have reported that COVID-19 lockdown caused an extended environmental clean-up. Considering air...
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Bayesian Latent Variable Co-kriging Model in Remote Sensing for Quality Flagged Observations
Remote sensing data products often include quality flags that inform users whether the associated observations are of good, acceptable or unreliable...
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Quality by Design
Quality is largely determined by decisions made in the early planning phases of products and processes. A particularly powerful technique for making...
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Exploring the impact of air pollution on COVID-19 admitted cases
In urban areas, air pollution is one of the most serious global environmental issues. Using time-series approaches, this study looked into the...
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Advanced Lattice Rules for Multidimensional Sensitivity Analysis in Air Pollution Modelling
Sensitivity analysis is an advanced and efficient technique for verification and improvement of mathematical models. Advanced stochastic approaches...
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Monitoring and Comparing Air and Green House Gases Emissions of Various Countries
The quality assurance of the earth-atmosphere system, which runs primarily to temperature variations and other disturbances of the earth’s climate,...
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Florence Nightingale, Quality of Life and Statistics
Florence Nightingale, the ‘Lady with the Lamp,’ was a pioneer reformer who substantially raised the content, impact as also the status of nursing and...
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Data Quality and Information
You start a shiny new analytical project. You do the initial overview of the data. And bang! You meet probably the biggest issue in advanced analysis...
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Concepts, Methods, and Tools Enabling Measurement Quality
This contribution provides an overview, illustrated with examples, of applications of statistical methods that support measurement quality and...
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Application of the Intuitionistic Fuzzy Synthetic Measure in the Subjective Quality of Life Measurement Based on Survey Data
The quality of life is one of the multidimensional constructs in which synthetic (aggregate) measures are used. Public statistics is the basic source...
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Analysis of Sequential Quality Improvement Plans to Obtain Confidence Bounds
Sequential quality improvement plans create a series of product versions with improving reliability by addressing the failure modes of the previous...
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Multiway clustering with time-varying parameters
This paper proposes a clustering approach for multivariate time series with time-varying parameters in a multiway framework. Although clustering...
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Joint Models for Longitudinal Zero-Inflated Overdispersed Binomial and Normal Responses
In this paper, we propose joint random effects models for longitudinal mixed overdispersion binomial and normal responses where the overdispersion...
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Environmental Analysis
People should consider the impacts of urban growth on the environment and growth should be paced out compatible with the physical and biological...
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A Study of Design of Experiments and Machine Learning Methods to Improve Fault Detection Algorithms
This work presents an industrial application of design of experiments (DOE) and machine learning methods for the development of algorithms applied to...
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Estimation of spatial-functional based-line logit model for multivariate longitudinal data
In this paper, a novel method is proposed to analyze multivariate longitudinal data that contains spatial location information. The method has the...
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Expectile regression for spatial functional data analysis (sFDA)
This paper deals with the nonparametric estimation of the expectile regression when the observations are spatially correlated and are of a functional...
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Distributed quantile regression for longitudinal big data
Longitudinal data, measurements taken from the same subjects over time, appear routinely in many scientific fields, such as biomedical science,...
