Results 21 to 30 of about 424,852 (215)

Recognition coefficient of spatial geological features, an approach to facilitate criteria weighting for mineral exploration targeting [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2023
The different methods for delineating favorable areas for mineral exploration utilize exploration criteria regarding targeted mineral deposits. The criteria are elicited according to conceptual model parameters of the targeted mineral deposits.
Mahyar Yousefi   +2 more
doaj   +1 more source

To Weight or Not to Weight, That Is the Question: The Design of a Composite Indicator of Landscape Fragmentation

open access: yesApplied Sciences, 2021
Composite indicators (CIs), i.e., combinations of many indicators in a unique synthetizing measure, are useful for disentangling multisector phenomena. Prominent questions concern indicators’ weighting, which implies time-consuming activities and should ...
Andrea De Montis   +4 more
doaj   +1 more source

Improving Standard Poststratification Techniques For Random-Digit-Dialing Telephone Surveys

open access: yesSurvey Research Methods, 2008
Random-digit-dialing surveys in the United States such as the Behavioral Risk Factor Surveillance System (BRFSS) typically poststratify on age, gender and race/ethnicity using control totals from an appropriate source such as the 2000 Census, the Current
Michael P. Battaglia   +2 more
doaj   +1 more source

A Note on the Conditioning of the H−1 Matrix Used in Single-Step GBLUP

open access: yesAnimals, 2022
The single-step genomic BLUP (ssGBLUP) is used worldwide for the simultaneous genetic evaluation of genotyped and non-genotyped animals. It is easily extendible to all BLUP models by replacing the pedigree-based additive genetic relationship matrix (A ...
Mohammad Ali Nilforooshan
doaj   +1 more source

The effect of events between waves on panel attrition

open access: yesSurvey Research Methods, 2015
Panel surveys suffer from attrition. Most panel studies use propensity models or weighting class approaches to correct for non-random dropout. These models draw on variables measured in a previous wave or from paradata of the study. While it is plausible
Mark Trappmann   +2 more
doaj   +1 more source

Online study of health professionals about their vaccination attitudes and behavior in the COVID-19 era: addressing participation bias

open access: yesHuman Vaccines & Immunotherapeutics, 2021
Online surveys of health professionals have become increasingly popular during the COVID-19 crisis because of their ease, speed of implementation, and low cost. This article leverages an online survey of general practitioners’ (GPs’) attitudes toward the
Pierre Verger   +4 more
doaj   +1 more source

Extending weighting models with a term quality measure [PDF]

open access: yes, 2007
Weighting models use lexical statistics, such as term frequencies, to derive term weights, which are used to estimate the relevance of a document to a query.
Ounis, I.   +3 more
core   +1 more source

Document clustering using sample weighting [PDF]

open access: yes, 2007
Clustering algorithm based on Sample weighting has been noticed recently. In this paper, a novel sample weighting clustering algorithm is presented based on K-Means and fuzzy C-Means algorithm.
Su, Xinning   +2 more
core   +1 more source

Weighting factors of sire daughter information in international genetic evaluations [PDF]

open access: yes, 2001
International genetic evaluations of dairy bulls are currently based on national genetic evaluation results. Total number of daughters in a country is used to weight national information, but may not optimally reflect the precision of a sire's daughter ...
Fikse, WF   +3 more
core   +1 more source

Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach

open access: yesFrontiers in Water, 2023
The assessment of flood vulnerability is a complex task that involves numerous uncertainties. Within this context, sensitivity analyses are crucial to better understand the variability of vulnerability index outcomes according to different input ...
Luana Lavagnoli Moreira   +5 more
doaj   +1 more source

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