Under different sample sizes and different datasets, we notice from the data given in Tables 1, 2, 3, and 4 that the proposed estimator of a

finite population mean using two auxiliary variables is always more efficient than the estimators [[bar.y].sub.AD], [[bar.y].sub.KC], [[bar.y].sub.MS], and [[bar.y].sub.RE].

Let a

finite population U = (U1, U2, U3,...,Un) of dissimilar and exclusive elements.

Overlap generation's conservation under

finite population size (500) and family size (10) for 5 years' service life

Using auxiliary information Sisodia and Dwivedi [2] proposed ratio estimator using the known knowledge coefficient of variation of an auxiliary variable, Kadilar and Cingi [1] suggested a class of ratio estimators for the

finite population mean, including Upadhyaya and Singh [3] , Singh [4], Singh and Tailor [5], Singh et al.

Stepwise mutation model and distribution of allelic frequencies in a

finite populations. Proceedings of the National Academy of Sciences of the USA, Washington, v.75, n.6, p.

Kumar, "A regression approach to the estimation of the

finite population mean in the presence of nonresponse," Australian & New Zealand Journal of Statistics, vol.

Chernick, a biostatician in medical research, and LaBudde, a mathematical software developer, explain that in statistics, bootstrapping is a technique of making inferences about a sampling distribution of a statistic by resampling the sample itself with replacement, as if it were a

finite population. To the degree that the resampling distribution mimics the original sampling distribution, the inferences are accurate.

Furthermore, some auditors using the binomial distribution may use a "

finite population correction factor," which reduces the binomial sample size in an attempt to compensate for a small population.

The

finite population correction factor for primary sampling units was the total number of villages in the district.

Topics include: models of population growth, randomly mating populations, inbreeding, the correlation between relatives and assertive mating, properties of a

finite population, distribution of gene frequencies in populations, and stochastic properties in the change of gene frequencies.

Our objectives were to use current mark-recapture theory and methods to estimate population size, and to directly estimate

finite population growth rate and its component demographic parameters of survival and recruitment (Nichols et al., 2000).

Let [U.sub.i]; i = 1,2........N, be a

finite population of size N, and a sample of 'n' units is selected at random which further be divided into L non-overlapping homogenous strata of sizes [n.sub.1], [n.sub.2],.........