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Two-phase sampling is the sampling scheme including two distinct phases, in the first of which the information about the particular variables of interest is collected on all the members of the sample, and in the second, information about other variables is collected on the sub-sample of the individuals in the original sample. An instance of where this type of sampling procedure may be useful is when estimating prevalance on the basis of results given by a fallible, but inexpensive and simple to use, indicator of the true disease state of sampled individuals.
The diagnosis of the subsample of the individuals may then be validated through use of an accurate diagnostic test. This kind of sampling process is often wrongly referred to as the two-stage sampling which in fact includes a completely different design.
Continuous variable : The measurement which is not restricted to the particular values except in so far as this is constrained by the accuracy of measuring instrument. General exam
Censored observations : An observation xi on some variable of interest is consired to be censored if it is known that xi Li (left-censored)or xi Ui (right-censored) where Li and Ui
1.Sam Lucarelli, owner of Lucarelli Products, is evaluating whether to produce a new product line. After thinking through the production process and the costs of raw materials and
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An approach to investigations designed to recognize a particular medical condition in the large population, usually by means of a blood test, which might result in the considerable
HOW TO OBTAIN THE LASPEYRES QUANTITY INDEX AND THE FORMULA
Non parametric maximum likelihood (NPML) is a likelihood approach which does not need the specification of the full parametric family for the data. Usually, the non parametric max
The technique of sampling used in the ecology for determining how much plants or animals are in a given fixed region. A set of randomly placed lines or points is recognized and the
Probability judgements : Human beings often require assessing the probability which some event will occur and accuracy of these probability judgements often determines success of o
Locally weighted regression is the method of regression analysis in which the polynomials of degree one (linear) or two (quadratic) are used to approximate regression function in
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