Results 11 to 20 of about 713,370 (259)
Quantifying errors without random sampling
BMC Medical Research Methodology, 2003 Background All quantifications of mortality, morbidity, and other health measures involve numerous sources of error. The routine quantification of random sampling error makes it easy to forget that other sources of error can and should be quantified ...
LaPole Luwanna M, Phillips Carl V
doaj +1 more source
Sampling of Random Data Streams
Advances in Electrical and Electronic Engineering, 2011 Modern telecommunication networks work on the transmission method of common data streams in which data bursts consisting of packets that further consist of particular bits are multiplexed from various traffic sources.
Gustav Cepciansky, Ladislav Schwartz
doaj +1 more source
Determination of Sample Size and Observation Units
International Journal of Assessment Tools in Education, 2019 The purpose of this study was to write programsto define sampling sizes and observation units by probability sampling methodsand to provide an idea for software developers. Thealgorithms of the programs were written in Python 3.
Tülin Acar
doaj +1 more source
Journal of Freshwater Ecology, 2019 Characterizing the structure of riverine fish populations that are patchily distributed and at low densities is often difficult. Due to the wide distribution but low abundance of Spotted Bass, Micropterus punctulatus, throughout the lower Wabash River ...
Evan C. Boone +4 more
doaj +1 more source
Psychiatry and Behavioral Sciences, 2013 Most of the studies related to health are conducted with samples. Selection of sampling may be performed with random or nonrandom sampling methods. Sampling methods may vary with respect to some characteristics of study population, researchers’ ...
Selim Kılıc
doaj +1 more source
Random sampling with a reservoir [PDF]
ACM Transactions on Mathematical Software, 1985 We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown beforehand. The main result of the paper is the design and analysis of Algorithm Z; it does the sampling in one pass ...
openaire +2 more sources
Pruned Discrete Random Samples [PDF]
Journal of Applied Probability, 2013 Let Xi,i ∈ ℕ, be independent and identically distributed random variables with values in ℕ0. We transform (‘prune’) the sequence {X1,…,Xn},n∈ ℕ, of discrete random samples into a sequence {0,1,2,…,Yn}, n∈ ℕ, of contiguous random sets by replacing Xn+1 with Yn +1 if Xn+1 >Yn. We consider the asymptotic behaviour of Yn as n→∞.
Grübel, Rudolf, Hitczenko, Paweł
openaire +4 more sources
Central European Public Administration Review, 2011 The consolidation process, where a group of enterprises is presented as a single one, is prescribed by international accounting standards, and in accordance with them it has been taken over by Slovenian accounting standards and International Public ...
Jasna Ida Zafred
doaj +1 more source
Network reconstruction based on synthetic data generated by a Monte Carlo approach
Human Biology and Public Health, 2022 Background: Network models are useful tools for researchers to simplify and understand investigated systems. Yet, the assessment of methods for network construction is often uncertain.
Masiar Novine +2 more
doaj +1 more source
Location-Scale Matching for Approximate Quasi-Order Sampling
Frontiers in Psychology, 2019 Quasi-orders are reflexive and transitive binary relations and have many applications. Examples are the dependencies of mastery among the problems of a psychological test, or methods such as item tree or Boolean analysis that mine for quasi-orders in ...
Ali Ünlü, Martin Schrepp
doaj +1 more source