Results 21 to 30 of about 144,234 (118)

Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis

Remote Sensing, 2019
Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be ...
Mohsen Mirzaei, Jochem Verrelst, Safar Marofi, Mozhgan Abbasi, Hossein Azadi   +4 more
doaj   +1 more source

Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes

IEEE Access
Multivariate spatio-temporal point patterns have become increasingly common due to the advancement of technology for massive data collection. Parameter estimation is vital for understanding the distributional patterns within such data.
Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari   +4 more
doaj   +1 more source

The t-Distribution Approach to the Second-Order Multiresponse Surface Model of Paracetamol Tablets Quality Characteristics

Applied Sciences, 2023
The normal distribution approach is often used in regression analysis at the Response Surface Methodology (RSM) modeling stage. Several studies have shown that the normal distribution approach has drawbacks compared to the more robust t-distribution ...
Pismia Sylvi, Purhadi Purhadi, Kartika Fithriasari, Sutikno Sutikno   +3 more
doaj   +1 more source

Multivariate Tail Coefficients: Properties and Estimation

Entropy, 2020
Multivariate tail coefficients are an important tool when investigating dependencies between extreme events for different components of a random vector.
Irène Gijbels, Vojtěch Kika, Marek Omelka   +2 more
doaj   +1 more source

Application of Medical Statistical and Machine Learning Methods in the Age Estimation of Living Individuals [PDF]

Fayixue Zazhi
In the study of age estimation in living individuals, a lot of data needs to be analyzed by mathematical statistics, and reasonable medical statistical methods play an important role in data design and analysis.
Dan-yang LI, Yu PAN, Hui-ming ZHOU, Lei WAN, Cheng-tao LI, Mao-wen WANG, Ya-hui WANG
doaj   +1 more source

Exploring Mean Annual Precipitation Values (2003–2012) in a Specific Area (36°N–43°N, 113°E–120°E) Using Meteorological, Elevational, and the Nearest Distance to Coastline Variables

Advances in Meteorology, 2016
Gathering very accurate spatially explicit data related to the distribution of mean annual precipitation is required when laying the groundwork for the prevention and mitigation of water-related disasters.
Fushen Zhang, Zhitao Yang, Shaobo Zhong, Quanyi Huang   +3 more
doaj   +1 more source

ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R

Journal of Statistical Software, 2007
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
doaj  

Sum and Product of Multivariate Fox-H Functions: Exact Analysis for RIS-Assisted System Over Rician Fading With Imperfect CSI

IEEE Open Journal of the Communications Society
Existing performance analysis of wireless systems based on reconfigurable intelligent surfaces (RIS) over fading channels has primarily focused on providing statistical insights into the sum and product of random variables, typically represented as a ...
Vinay Kumar Chapala, S. M. Zafaruddin
doaj   +1 more source

Shrinkage estimation of non-negative mean vector with unknown covariance under balance loss

Journal of Inequalities and Applications, 2018
Parameter estimation in multivariate analysis is important, particularly when parameter space is restricted. Among different methods, the shrinkage estimation is of interest.
Hamid Karamikabir, Mahmoud Afshari, Mohammad Arashi   +2 more
doaj   +1 more source

Factors affecting the accuracy of chest compression depth estimation [PDF]

Clinical and Experimental Emergency Medicine, 2014
Objective We aimed to estimate the accuracy of visual estimation of chest compression depth and identify potential factors affecting accuracy. Methods This simulation study used a basic life support mannequin, the Ambu man.
Jung Hee Kang, Won Chul Cha, Minjung Kathy Chae, Hang A Park, Sung Yeon Hwang, Sang Chan Jin, Tae Rim Lee, Tae Gun Shin, Min Seob Sim, Ik Joon Jo, Keun Jeong Song, Joong Eui Rhee, Yeon Kwon Jeong   +12 more
doaj   +1 more source