Results 31 to 40 of about 2,203,514 (272)
JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2023 Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan +3 more
doaj +1 more source
Multiple Linear Regression versus Automatic Linear Modelling
Arquivo Brasileiro de Medicina Veterinária e ZootecniaIn this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
doaj +1 more source
Estimation in high dimensions: a geometric perspective [PDF]
, 2014 This tutorial provides an exposition of a flexible geometric framework for high dimensional estimation problems with constraints. The tutorial develops geometric intuition about high dimensional sets, justifies it with some results of asymptotic convex ...
A. Ai +44 more
core +2 more sources
Agricultural Socio-Economic Empowerment and Agribusiness Journal, 2022 The agricultural sector, especially plantations, has entered the business world that considers profit in its activities. One of them is tobacco farming in Manisrenggo Sub-district, Klaten Regency. This study aims to determine the costs, revenues, income,
Zurinda Adkha Rachmanindita +2 more
doaj +1 more source
Familywise Error Rate Control via Knockoffs [PDF]
, 2015 We present a novel method for controlling the $k$-familywise error rate ($k$-FWER) in the linear regression setting using the knockoffs framework first introduced by Barber and Cand\`es.
Janson, Lucas, Su, Weijie
core +3 more sources
Simultaneous Inference in General Parametric Models [PDF]
, 2008 Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level ...
Bates +29 more
core +3 more sources
A learning system-based soft multiple linear regression model
Intelligent Systems with ApplicationsMachine learning applied to regression models offers powerful mathematical tools for predicting responses based on one or more predictor variables.
Gholamreza Hesamian +3 more
doaj +1 more source
Cluster-Robust Variance Estimation for Dyadic Data [PDF]
, 2015 Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that ...
Aronow, Peter M. +2 more
core +3 more sources
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Multiple Linear Regression Applications in Real Estate Pricing [PDF]
, 2016 In this paper, we attempt to predict the price of a real estate individual homes sold in North West Indiana based on the individual homes sold in 2014. The data/information is collected from realtor.com.
Hughes, Zachariah +3 more
core +1 more source