Results 21 to 30 of about 60,047 (288)

Adaptive cluster sampling for negatively correlated data [PDF]

, 2016
Adaptive cluster sampling is a design specifically developed for rare and clustered populations. Using this sampling design, we consider the case when an auxiliary variable is available in addition to the variable of interest.
Esha Mohamed, Dryver, Arthur L., Mohamed, Esha, GATTONE, Stefano Antonio, Ralf T. Münnich, Münnich, Ralf T., Stefano A. Gattone, Arthur L. Dryver   +7 more
core   +1 more source

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

Journal 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, Ayesha Iftikhar, Muhammad Hanif   +2 more
doaj   +1 more source

Application of adaptive sampling in fishery part 1: adaptive cluster sampling and its strip designs [PDF]

, 2001
The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their ...
Salehi, M.
core   +1 more source

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

Anais 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, ALLAN L. PELISSARI, VINICIUS C. CYSNEIROS, MARCELO BONAZZA, CARLOS R. SANQUETTA   +4 more
doaj   +1 more source

KEMAMPUAN PENALARAN ADAPTIF SISWA SMP se-KOTA PONTIANAK

Aksioma: 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

Mathematics
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, Athipakon Nathomthong, Pannarat Guayjarernpanishk, Nipaporn Chutiman   +3 more
doaj   +1 more source

Modified Adaptive Cluster Sampling Designs [PDF]

Communications for Statistical Applications and Methods, 2007
Adaptive cluster sampling design is known as a sampling method for rare clustered population. Three modified adaptive cluster sampling designs are proposed. The adjusted Hansen-Hurwitz estimator and the Horvitz-Thompson estimator are considered. Efficiency issue of the proposed sampling designs is discussed in a Monte-Carlo simulation study.
Jeong-Soo Park, Youn-Woo Kim, Chang-Kyoon Son   +2 more
openaire   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

A Refined Regression Estimator for General Inverse Adaptive Cluster Sampling

Mathematics
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, Supawadee Wichitchan, Chawalit Boonpok, Monchaya Chiangpradit, Pannarat Guayjarernpanishk   +4 more
doaj   +1 more source

Fujian cypress and two other threatened tree species in three conservation zones of a nature reserve in north-western Vietnam

Forest Ecosystems, 2017
Background Fujian cypress (Fokienia hodginsii) is a highly valued but endangered tree species. The Ta Xua Nature Reserve in Vietnam is one of its main conservation centers.
Thi Hoa Hong Dao, Dirk Hölscher
doaj   +1 more source