## Survey Sampling PrinciplesAn introduction to the essentially mathematical principles of survey sampling as they are applied in practice. Intended for survey sampling theorists and practitioners, as a guide for those who may have to design and conduct a survey, and for those commissioning, organizing, and overseeing survey op |

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nice for survey

### Contents

Introduction | 1 |

Some Basic Concepts | 10 |

Simple Random Sampling and Unbiased Estimates | 44 |

Ratio and Regression Estimates and Estimates of Ratios | 69 |

Stratified Sampling | 99 |

Selection with Probability Proportional to Size | 128 |

Concept | 171 |

Application | 202 |

Further Sampling Techniques | 240 |

### Common terms and phrases

allocation applied benchmark values benchmark variable bias biases building lots cluster sample components corresponding costs denoted derived estimates based estimator of expression estimatory example expected value first-stage sample units first-stage units heteroscedasticity household survey master sample mean square error measures of homogeneity multistage sampling nonprobability sampling nonresponse nonresponse-adapted nonsample errors number of building number of dwellings obtained pilot testing population value population variance possible sample probability of selection probability proportional probability sample procedures PSUs ratio estimation regression estimation relative variance relevant represent responses sample cluster sizes sample design sample dwellings sample errors sample estimates sample fraction sample frame sample selection sample survey sample values sampling methods second-stage units Section selected with probability self-weighting simple random sample stage of sampling standard error statistics strata stratified sample stratum successive surveys supplementary variables survey data survey sampling survey variable survey's Surveytown blocks systematic sampling timates tion two-stage sample unbiased estimator usually

### References to this book

Topics in Modelling of Clustered Data Marc Aerts,Geert Molenberghs,Louise M. Ryan,Helena Geys No preview available - 2002 |