Results 21 to 30 of about 4,194,931 (278)

Optimization of Scat Detection Methods for a Social Ungulate, the Wild Pig, and Experimental Evaluation of Factors Affecting Detection of Scat. [PDF]

open access: yesPLoS ONE, 2016
Collection of scat samples is common in wildlife research, particularly for genetic capture-mark-recapture applications. Due to high degradation rates of genetic material in scat, large numbers of samples must be collected to generate robust estimates ...
David A Keiter   +4 more
doaj   +1 more source

Improvement of low level bark beetle damage estimates with adaptive cluster sampling

open access: yesSilva Fennica, 2010
Detection of low level infestation in forest stands is of principle importance to determine effective control strategies before the attack spread to large areas.
Coggins, Sam   +2 more
doaj   +1 more source

Accelerating Energy-Economic Simulation Models via Machine Learning-Based Emulation and Time Series Aggregation

open access: yesEnergies, 2022
Energy-economic simulation models with high levels of detail, high time resolutions, or large populations (e.g., distribution networks, households, electric vehicles, energy communities) are often limited due to their computational complexity. This paper
Alexander J. Bogensperger   +2 more
doaj   +1 more source

Systematic Sampling and Cluster Sampling of Packet Delays

open access: yes, 2006
Based on experiences of a traffic flow performance meter this papersuggests and evaluates cluster sampling and systematic sampling as methods toestimate average packet delays.
Lindh, Thomas
core   +2 more sources

Generalized Exponential Estimator for the Estimation of Clustered Population Variance in Adaptive Cluster Sampling

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
In this paper, we proposed a generalized exponential estimator with two auxiliary variables for the estimation of highly clumped population variance under adaptive cluster sampling design. The expressions of approximate bias and minimum mean square error
Muhammad Nouman Qureshi   +2 more
doaj   +1 more source

Sampling procedures for inventory of commercial volume tree species in Amazon Forest

open access: yesAnais da Academia Brasileira de Ciências
The spatial distribution of tropical tree species can affect the consistency of the estimators in commercial forest inventories, therefore, appropriate sampling procedures are required to survey species with different spatial patterns in the Amazon ...
SYLVIO P. NETTO   +4 more
doaj   +1 more source

KEMAMPUAN PENALARAN ADAPTIF SISWA SMP se-KOTA PONTIANAK

open access: yesAksioma: Jurnal Program Studi Pendidikan Matematika, 2018
This study aims to reveal the ability of adaptive reasoning of junior high school students in Pontianak, which is divided into categories of secondary, middle and lower schools. This research is descriptive research with research form is survey. Sampling
Yadi Ardiawan, Nurmaningsih Nurmaningsih
doaj   +1 more source

Enhanced Ratio-Type Estimators in Adaptive Cluster Sampling Using Jackknife Method

open access: yesMathematics
Adaptive cluster sampling is a methodology designed for data collection in contexts where the population is rare and spatially clustered. This approach has been effectively applied in various disciplines, including epidemiology and resource management ...
Supawadee Wichitchan   +3 more
doaj   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan   +3 more
wiley   +1 more source

A Refined Regression Estimator for General Inverse Adaptive Cluster Sampling

open access: yesMathematics
Adaptive cluster sampling (ACS) is a sampling technique commonly used for rare populations that exhibit spatial clustering. However, the initially selected sample units may not always satisfy the specified inclusion condition.
Nipaporn Chutiman   +4 more
doaj   +1 more source

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