We consider fixed size sampling plans for which the second order inclusion probabilities are zero for pairs of contiguous units and constant for pairs of non-contiguous units. A practical motivation for the use of such plans is pointed out and a statistical condition is identified under which these plans are more efficient than the corresponding simple random sampling plans. Results on the existence and construction of these plans are obtained
In this paper, a new systematic sampling which uses both label and auxiliary information has been in...
We propose a second-order inclusion probability approximation for the Chao plan (1982) to obtain an ...
The classical problem of selecting single and double sampling plans satisfying P((theta)(,1)) (GREAT...
Not AvailableBalanced sampling plans excluding adjacent units are those sampling plans in which seco...
Abstract: Balanced sampling plans excluding contiguous units are those sampling plans in which secon...
AbstractBalanced sampling plans excluding contiguous units (BSEC) were first introduced in 1988 by H...
A balanced sampling plan excluding contiguous units (or BSEC for short) was first introduced by Heda...
Sampling plans that exclude the selection of adjacent units within a given sample, while maintaining...
Suppose we have a finite population U of N units, with (possibly a vector of) measurements yj, and w...
Fixed size without replacement sampling designs with probability functions that are linear or qu-adr...
This paper introduces a general class of Inclusion Probability Proportional to Size (IPPS) sampling ...
The purpose of this article is to propose a procedure for selecting an inclusion probability proport...
Very often values of a size variable are known for the elements of a population we want to sample. F...
Fixed size without replacement sampling designs with probability functions that are linear or quadra...
The main objective in sampling is to select a sample from a population in order to estimate some unk...
In this paper, a new systematic sampling which uses both label and auxiliary information has been in...
We propose a second-order inclusion probability approximation for the Chao plan (1982) to obtain an ...
The classical problem of selecting single and double sampling plans satisfying P((theta)(,1)) (GREAT...
Not AvailableBalanced sampling plans excluding adjacent units are those sampling plans in which seco...
Abstract: Balanced sampling plans excluding contiguous units are those sampling plans in which secon...
AbstractBalanced sampling plans excluding contiguous units (BSEC) were first introduced in 1988 by H...
A balanced sampling plan excluding contiguous units (or BSEC for short) was first introduced by Heda...
Sampling plans that exclude the selection of adjacent units within a given sample, while maintaining...
Suppose we have a finite population U of N units, with (possibly a vector of) measurements yj, and w...
Fixed size without replacement sampling designs with probability functions that are linear or qu-adr...
This paper introduces a general class of Inclusion Probability Proportional to Size (IPPS) sampling ...
The purpose of this article is to propose a procedure for selecting an inclusion probability proport...
Very often values of a size variable are known for the elements of a population we want to sample. F...
Fixed size without replacement sampling designs with probability functions that are linear or quadra...
The main objective in sampling is to select a sample from a population in order to estimate some unk...
In this paper, a new systematic sampling which uses both label and auxiliary information has been in...
We propose a second-order inclusion probability approximation for the Chao plan (1982) to obtain an ...
The classical problem of selecting single and double sampling plans satisfying P((theta)(,1)) (GREAT...
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