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Robust and Multivariate Statistical Methods Festschrift in Honor of David E. Tyler
This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it...
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Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs)
Groundwater quality assessment is crucial for the sustainable management of water resources in arid regions, where groundwater is the primary source...
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Advanced Univariate and Statistical Multivariate Modeling
Chapter 2 explored various recipes for implementing univariate statistical modeling in Python. A few more...
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Multivariate Statistical Process Control
As was discussed in Chap. 4 in Modern Statistics (Kenett et al. (Modern statistics: a computer-based...
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Advanced Statistical Methods
With multiple regression analysis we discussed one of the most important multivariate analysis methods. However, it is not the only one. In addition,...
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Porous Media Classification Using Multivariate Statistical Methods
The Earth’s subsurface consists of porous media (i.e., rocks, soils) with vastly varied internal structures and properties. Characterizing the...
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Linking multivariate statistical methods and water quality indices to evaluate the natural and anthropogenic geochemical processes controlling the water quality of a tropical watershed
The improvement of water management requires monitoring techniques that accurately evaluate water quality status and detect the effects of land use...
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Map** and analysis of structural lineaments using Landsat 8-OLI images and multivariate statistical methods in Tarfaya coastal basin, Southwest Morocco
The coastal basin of Tarfaya is part of the Meso-Cenozoic basins of the Moroccan Atlantic margin which developed following the bursting of Pangea. In...
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Statistical Inferences for Multivariate Generalized Gamma Regression Model
Generalized gamma (GG) distribution serves as a widely applied statistical tool, particularly suitable for scenarios where data distribution skews...
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Multivariate statistical methods for analysis of physicochemical and microbiological parameters of well water from the village M’Pody
The pollution of surface water and groundwater is a real public health problem that is currently receiving particular attention throughout the world....
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Selection of statistical technique for imputation of single site-univariate and multisite–multivariate methods for particulate pollutants time series data with long gaps and high missing percentage
Monitoring air contaminants has become essential to exposure science, toxicology, and public health research. However, missing values are common...
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Statistical Methods for Tensor Data Analysis
This book chapter provides a brief introduction of tensors and a selective overview of tensor data analysis. Tensor data analysis has been an...
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Multivariate statistics
When we learned about association measures and regression methods in the previous chapters, we gained a first glimpse into multivariate statistics....
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Multivariate Methods
Multivariate methods are often used to analyze data in the form of vectors. For example, in medical studies, data collected on a single patient may...
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Multivariate Statistical Methods Going Beyond the Linear
This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual...
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Data analysis of the Gumusler Dam Lake Reservoir soils using multivariate statistical methods (Nigde, Türkiye)
Heavy metal accumulation in aquatic environments is a global problem as it affects the quality of sediments and aquatic life. Therefore, this study...
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A holistic review on the assessment of groundwater quality using multivariate statistical techniques
AbstractWater is an essential element in nature. It is used in drinking, irrigation, and industry mainly. Human health is directly linked to...
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Linear Methods for Multivariate Normalization
This chapter introduces the basic linear methods of multivariate normalization and defines some important invariant properties of linear...
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Statistical Methods for Quality and Productivity Improvement
The first section of this chapter introduces statistical process control (SPC) and robust design (RD), two important statistical methodologies for...