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Improving Optimal Fingerprinting Methods Requires a Viewpoint beyond Statistical Science
While being successful in the detection and attribution of climate change, the optimal fingerprinting method (OFM) may have some limitations from a...
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Statistical Methods in Analytical Chemistry
The application of mathematical statistics in analytical chemistry is considered. It is shown that the analytical chemist in his research needs,...
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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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An Effective Framework for Improving Performance of Daily Streamflow Estimation Using Statistical Methods Coupled with Artificial Neural Network
This study presents an effective framework that combines artificial neural network (ANN) and statistical methods to more efficiently, consistently,...
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Application of New Statistical Methods to Estimation of the Seismicity Field Parameters by an Example of the Japan Region
AbstractThis study is devoted to application of some new statistical methods to analysis of the spatial structure of the seismic field in a...
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Statistical Reappraisal of the Wax and Mercury Methods for Shrinkage Limit Determinations of Fine-Grained Soils
Because of the hazards associated with handling mercury, most standards organizations have withdrawn the conventional mercury (displacement) method...
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Determining the Statistical Significance of the North–South Asymmetry of Active Regions in Cycles 23 and 24 by Several Methods
AbstractTo determine the statistical significance of the north–south (N–S) asymmetry of active regions (ARs) of different magneto-morphological...
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An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models
Traditional statistical methods (TSM) and machine learning (ML) methods have been widely used to separate the effects of emissions and meteorology on...
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Prediction of factor of safety of slopes using stochastically modified ANN and classical methods: a rigorous statistical model selection approach
Different methods like limit equilibrium and soft computing-based methods are scattered in the literature for the prediction of the factor of safety...
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Landslide susceptibility assessment in Sikkim Himalaya with RS & GIS, augmented by improved statistical methods
Landslide susceptibility zonation is a widely studied method for assessing the likelihood of landslides in specific areas. This study focuses on the...
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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 Rock Physics
The book is the first systematic and comprehensive treatise of stochastic models and computational tools that have emerged in rock-physics in the...
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Comparisons of statistical downscaling methods for air temperature over the Qilian Mountains
Air temperature is an important indicator of climate change, as well as for understanding changes in hydrology, ecology, and other natural systems....
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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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Evaluation of Statistical and Deep Learning Methods for Short-Term Weather Forecasting in Semi-arid Regions
Numerical methods represent a powerful tool for weather forecasting. However, they still face various limitations related to energy consumption and...
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Bayesian networks to predict storm impact using data from both monitoring networks and statistical learning methods
Bayesian networks are probabilistic graphical models that are increasingly used to translate hydraulic boundary conditions during storm events into...
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Prediction of landslides by machine learning algorithms and statistical methods in Iran
The present study aims to compare the performance of artificial neural networks (ANN), statistical methods, and machine learning in predicting the...
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Combination of statistical methods for easy analysis and classification of virus–host environmental dynamics in the saltern of Sfax, Tunisia
Investigations of virus–host interactions depend heavily either on their cultivation or on metagenomics. In this study, we combined complementary...
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Assessment of groundwater quality using statistical methods: a case study
Human activities substantially contribute to the rise of various contaminating ionic levels in the water, which translates in a risk to humans,...
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Seasonal prediction of typhoons approaching the Korean Peninsula using several statistical methods
Typhoon is a devastating weather system, and the typhoon forecast is one of the most important issues to minimize their damages. In this study, we...
