Results 21 to 30 of about 1,361,248 (269)
Variance estimation under an efficient class of estimators in simple random sampling
This study acquaints an efficient class of estimators for variance estimation in simple random sampling. Some existing prominent estimators are established to be the particular cases of the suggested estimators.
Shashi Bhushan +3 more
doaj +1 more source
Direct dialling of Haar random unitary matrices [PDF]
Random unitary matrices find a number of applications in quantum information science, and are central to the recently defined boson sampling algorithm for photons in linear optics.
Chakhmakhchyan, Levon +3 more
core +3 more sources
Estimators in simple random sampling: Searls approach [PDF]
This paper investigates four new estimators in simple random sampling: biased sample mean, ratio estimator and two linear regression estimators, using known coefficients of variation of the study variable and auxiliary variable. The properties of the new
Jirawan Jitthavech +1 more
doaj
New Ratio Estimators in Simple Random Sampling Using (K) Factor [PDF]
In this research we find alternative ratio estimators to the suggested estimators for [Sesodia and Dwivedi] , [Singh and Kakran] and [Upadhyaya and Singh] , in simple random sampling by using (K) factor.
doaj +1 more source
The present research has the purpose to analyze factors affecting the production of pineapple in Ngancar District, Kediri Regency, East Java Province. The research took place in Ngancar District, Kediri Regency, East Java Province, employing secondary ...
Risdiana Himmati
doaj +1 more source
Estimation of a total for rotated sample design using auxiliary information
In this paper we focus on constructions of the total estimator for rotated sampling design. Successive sampling procedure using multi-phase sampling design have been developed.
Viktoras Chadyšas
doaj +1 more source
Relaxation of monotone coupling conditions: Poisson approximation and beyond [PDF]
It is well-known that assumptions of monotonicity in size-bias couplings may be used to prove simple, yet powerful, Poisson approximation results. Here we show how these assumptions may be relaxed, establishing explicit Poisson approximation bounds ...
Daly, Fraser, Johnson, Oliver
core +4 more sources
Comparison Four Different Probability Sampling Methods based on Differential Evolution Algorithm
Differential Evolution (DE) is one kind of evolution algorithm, which based on difference of individuals. DE has exhibited good performance on optimization problem.
Qingbo Lu +3 more
doaj +1 more source
Sampling design for compliance monitoring of surface water quality: A case study in a Polder area [PDF]
International agreements such as the EU Water Framework Directive (WFD) ask for efficient sampling methods for monitoring natural resources. In this paper a general methodology for designing efficient, statistically sound monitoring schemes is described.
Brus, D.J., Knotters, M.
core +2 more sources
Optimal neutrosophic framework for population mean estimation under simple random sampling [PDF]
When conducting survey sampling, precise population mean estimation is essential, particularly when additional indeterminate data is available. The intrinsic ambiguity and uncertainty in the study and auxiliary variables are handled by using neutrosophic
Anoop Kumar, Priya, Vrijesh Tripathi
doaj +1 more source

