### Abstract

We examine the efficiency of several sampling plans for use in certain agricultural, ecological and environmental studies. One concern for such studies is that plots that are physically close might be more similar than distant plots. We considered sampling plans that are designed to generate samples that represent the entire population while avoiding the selection of units that provide essentially redundant information. All plans have the property that they avoid the simultaneous selection of units that are, in some sense, neighboring units. By means of a simulation study, the efficiency of these plans is compared to simple random sampling. Factors that influence the relative efficiencies are examined. This is done for a number of different populations, representing various possible patterns for a response variable.

Original language | English (US) |
---|---|

Pages (from-to) | 273-294 |

Number of pages | 22 |

Journal | Journal of Statistical Computation and Simulation |

Volume | 66 |

Issue number | 4 |

State | Published - 2000 |

Externally published | Yes |

### Fingerprint

### Keywords

- Random sampling excluding contiguous units
- Simple random sampling
- Stratified random sampling with random stratum boundaries

### ASJC Scopus subject areas

- Applied Mathematics
- Modeling and Simulation
- Statistics and Probability

### Cite this

*Journal of Statistical Computation and Simulation*,

*66*(4), 273-294.

**Relative efficiencies of sampling plans for selecting a small number of units from a rectangular region.** / See, K.; Stufken, John; Song, S. Y.; Bailer, A. J.

Research output: Contribution to journal › Article

*Journal of Statistical Computation and Simulation*, vol. 66, no. 4, pp. 273-294.

}

TY - JOUR

T1 - Relative efficiencies of sampling plans for selecting a small number of units from a rectangular region

AU - See, K.

AU - Stufken, John

AU - Song, S. Y.

AU - Bailer, A. J.

PY - 2000

Y1 - 2000

N2 - We examine the efficiency of several sampling plans for use in certain agricultural, ecological and environmental studies. One concern for such studies is that plots that are physically close might be more similar than distant plots. We considered sampling plans that are designed to generate samples that represent the entire population while avoiding the selection of units that provide essentially redundant information. All plans have the property that they avoid the simultaneous selection of units that are, in some sense, neighboring units. By means of a simulation study, the efficiency of these plans is compared to simple random sampling. Factors that influence the relative efficiencies are examined. This is done for a number of different populations, representing various possible patterns for a response variable.

AB - We examine the efficiency of several sampling plans for use in certain agricultural, ecological and environmental studies. One concern for such studies is that plots that are physically close might be more similar than distant plots. We considered sampling plans that are designed to generate samples that represent the entire population while avoiding the selection of units that provide essentially redundant information. All plans have the property that they avoid the simultaneous selection of units that are, in some sense, neighboring units. By means of a simulation study, the efficiency of these plans is compared to simple random sampling. Factors that influence the relative efficiencies are examined. This is done for a number of different populations, representing various possible patterns for a response variable.

KW - Random sampling excluding contiguous units

KW - Simple random sampling

KW - Stratified random sampling with random stratum boundaries

UR - http://www.scopus.com/inward/record.url?scp=0034407413&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034407413&partnerID=8YFLogxK

M3 - Article

VL - 66

SP - 273

EP - 294

JO - Journal of Statistical Computation and Simulation

JF - Journal of Statistical Computation and Simulation

SN - 0094-9655

IS - 4

ER -