Results 31 to 40 of about 1,362,891 (269)
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
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
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
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
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
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
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
Efficient generation of random derangements with the expected distribution of cycle lengths
We show how to generate random derangements efficiently by two different techniques: random restricted transpositions and sequential importance sampling.
Mendonça, J. R. G.
core +3 more sources
Uniform Sampling for Matrix Approximation [PDF]
Random sampling has become a critical tool in solving massive matrix problems. For linear regression, a small, manageable set of data rows can be randomly selected to approximate a tall, skinny data matrix, improving processing time significantly.
Cohen, Michael B. +5 more
core +1 more source

