Double sampling, Advanced Statistics

The procedure in which initially the sample of subjects is selected for generating the auxillary information only, and then the second sample is selected in which the variable of interest is observed additionally to the auxillary information. The second sample is often selected as the subsample of the first. The reason of this type of sampling is to obtain the better estimators by using the relationship between the auxillary variables and the variable of interest.

Posted Date: 7/27/2012 6:36:24 AM | Location : United States

Related Discussions:- Double sampling, Assignment Help, Ask Question on Double sampling, Get Answer, Expert's Help, Double sampling Discussions

Write discussion on Double sampling
Your posts are moderated
Related Questions
Regression discontinuity design is the quasi-experimental design in which participants in, for instance, an intervention study, are assigned to the treatment and control groups on

Per-experiment error rate is the possibility of the incorrectly rejecting at least one null hypothesis or assumption in the experiment including one or more tests or comparisons,

The Null Hypothesis - H0:  There is autocorrelation The Alternative Hypothesis - H1: There is no autocorrelation Rejection Criteria: Reject H0 (n-s)R 2 > = (1515 - 4) x (0.


The statistical methods for estimation and inference which are based on a function of sample observations, probability distribution of which does not rely upon a complete speci?cat

The method or technique for producing the sequence of parameter estimates that, under the mild regularity conditions, converges to maximum likelihood estimator. Of particular signi

Institutional surveys are the surveys in which the primary sampling units are the institutions, for instance, hospitals. Within each of the sampled institution, a sample of the pa

we are testing : Ho: µ=40 versus Ha: µ>40 (a= 0.01) Suppose that the test statistic is z0=2.75 based on a sample size of n=25. Assume that data are normal with mean mu and standa

It is the technique used in the clinical trials when it is possible to make an acceptable place before an active treatment but not to make the two active treatments identical. In t

The transformation of the Pearson's product moment correlation coefficient, r, can be given by   The statistic z has the normal distribution with mean   here ρ is the pop