منابع مشابه
Robust model-based sampling designs
I will describe some work currently being carried out with Alan Welsh at Australian National University. The problem addressed is to draw a sample, from which to estimate a population total. The data are completely known covariates, to which the unknown response variable is related. Difficulties to be overcome are that the relationship between these variables is only approximately, and perhaps ...
متن کاملRobust model-based stratification sampling designs
Abstract: We address the resistance, somewhat pervasive within the sampling community, to model-based methods. We do this by introducing notions of “approximate models” and then deriving sampling methods which are robust to model misspecification within neighbourhoods of the sampler’s approximate, working model. Specifically we study robust sampling designs for model-based stratification, when ...
متن کاملApplication of adaptive sampling in fishery part 1: Adaptive cluster sampling and its strip designs
Abstract: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solv...
متن کاملApplication of adaptive sampling in fishery part 2: Truncated adaptive cluster sampling designs
There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...
متن کاملSensitivity Analysis of Spatial Sampling Designs for Optimal Prediction
In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2001
ISSN: 1812-5654
DOI: 10.3923/jas.2002.36.38