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On the Posterior Mean and Variance of a Population Mean

Journal of the American Statistical Association, 1970
Abstract This note shows that under a certain class of prior distributions of the vector, X = (X 1, …, XN ), of the unknown finite population values, the posterior mean and variance of the population mean, μ = Σ N 1 Xi /N, assume simple and intuitively appealing forms.
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Mean field limits by population acceleration

53rd IEEE Conference on Decision and Control, 2014
Mean field or large population limits are useful analytical tools that provide well justified approximations to finite systems. Motivated by problems in Game Theory and Queueing Theory we provide a framework to develop mean field limits that emerge from finite population systems in a very general setting.
Harsha Honnappa   +2 more
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A NOTE ON OPTIMUM STRATIFICATION OF POPULATIONS FOR ESTIMATING THE POPULATION MEANS

Australian Journal of Statistics, 1963
SummaryThe note gives the results of a study carried out to find the optimum points of stratification (OPS) for estimating the population means of some standard distributions. The distributions considered here are the normal and the set of chi‐square distributions.
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Maximal Deviation between Sample and Population Means in Finite Populations

Journal of the American Statistical Association, 1981
Abstract Bounds are presented for the maximal deviation in finite populations between sample and population means in units of (a) the population mean deviation, (b) the population range, and (c) the population mean, extending previous results for the population standard deviation.
Barry C. Arnold, Richard A. Groeneveld
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Model‐Assisted Estimation of a Spatial Population Mean

International Statistical Review, 2012
RésuméCet article traite de l'estimation de la moyenne d'une population spatiale. Dans le cadre d'une approche fondée sur un plan d'échantillonnage, un estimateur assisté par un modle de régression spline pénalisé est proposé et étudié. Nous montrons que cet estimateur est convergent (dans le cadre du plan) et établissons sa loi normale asymptotique ...
CICCHITELLI, Giuseppe   +1 more
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Mean life in steady-state populations

Journal of Theoretical Biology, 1968
Abstract The mean life of the elements comprising a steady state population is one of the three variables that uniquely specify that population, for mean life is equal to the ratio of population size to turnover rate and can always, in principle, be measured independently. Mean life measures the turnover frequency of elements during the steady state,
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Estimating a Population Variance with Known Mean

International Statistical Review / Revue Internationale de Statistique, 1996
Summary: We consider estimating the population variance \(\sigma_0^2\) when we know the value of the population mean \(\mu_0\). The standard estimate of \(\sigma_0^2\), though making use of the knowledge of \(\mu_0\), is first order equivalent to the sample variance which does not utilize the knowledge of \(\mu_0\). By employing the method of empirical
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The Meaning of Populism

Abstract This chapter critically reviews the three main approaches to defining populism used today. The ideational approach argues that populism is a “thin-centered” political ideology, which views politics as an existential struggle between a “pure people” and a “corrupt elite.” An alternative definition, usually labeled the ...
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Confidence and Population Means

1996
The major difficulty in putting the properties of the special batch discussed in Chapter 8 to use is that we had to know a good deal about the population from which the sample was drawn in order to specify the characteristics of the special batch.
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Sample Size Determination for Confidence Intervals on the Population Mean and on the Difference Between Two Population Means

Biometrics, 1989
Sample size determination is usually based on the premise that a hypothesis test is to be used. A confidence interval can sometimes serve better than a hypothesis test. In this paper a method is presented for sample size determination based on the premise that a confidence interval for a simple mean, or for the difference between two means, with ...
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