Constrained Minimax Estimation of the Mean of the Normal Distribution with Known Variance

Estimation of Variance of Normal Distribution using Ranked Set Sampling

Introduction     In some biological, environmental or ecological studies, there are situations in which obtaining exact measurements of sample units are much harder than ranking them in a set of small size without referring to their precise values. In these situations, ranked set sampling (RSS), proposed by McIntyre (1952), can be regarded as an alternative to the usual simple random sampling ...

the evaluation of language related engagment and task related engagment with the purpose of investigating the effect of metatalk and task typology

abstract while task-based instruction is considered as the most effective way to learn a language in the related literature, it is oversimplified on various grounds. different variables may affect how students are engaged with not only the language but also with the task itself. the present study was conducted to investigate language and task related engagement on the basis of the task typolog...

No. 2002-77 ESTIMATION OF THE MEAN OF A UNIVARIATE NORMAL DISTRIBUTION WHEN THE VARIANCE IS NOT KNOWN

Summary: We consider the problem of estimating the first k coefficients in a regression equation with k + 1 variables. For this problem with known variance of innovations, the neutral Laplace weighted-average least-squares estimator was introduced in Magnus (2002). We investigate properties of this estimator in the case where the unknown variance is estimated by least squares. We find that the ...

Ad-757 094 Sequential Estimation of the Largest Normal Mean When the Variance Is Known

an investigation of the types of text reduction in subtitling: a case study of the persian film gilaneh with english subtitles

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