## Sampling: Design and AnalysisSharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS, 2ND EDITION, provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |

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Solid book! Clear explanations with motivating examples. Easy to read with some of the more difficult proofs worked out. Great resource when trying to learn the basics of survey sampling

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Brilliant! I did pick up many other books including classics in the field, but this book was spot on. Every explanation is motivated by example(s) and a concept/idea is considered from various viewpoints (see author's treatment in chapter 2). From a course taker's perspective, author does not overwhelm the student with a lot of things and exercises are instructive.

### Contents

Introduction | 1 |

Simple Probability Samples | 25 |

Stratified Sampling | 73 |

Ratio and Regression Estimation | 117 |

Cluster Sampling with Equal Probabilities | 165 |

Sampling with Unequal Probabilities | 219 |

Complex Surveys | 281 |

Nonresponse | 329 |

Regression with Complex Survey Data | 429 |

TwoPhase Sampling | 469 |

Estimating Population Size | 495 |

Rare Populations and Small Area Estimation | 511 |

Survey Quality | 527 |

Probability Concepts Used in Sampling | 549 |

563 | |

Author Index | 587 |

Variance Estimation in Complex Surveys | 365 |

Categorical Data Analysis in Complex Surveys | 401 |

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### Common terms and phrases

ˆθ adjust approximately average bias boxplots calculate census Chapter cluster sampling complex survey counties data set design-based estimate the population estimate the total estimate the variance estimated variance example Exercise finite population give histogram households imputation included inclusion probabilities independent interviewer jackknife linearization method multistage sample NCVS nonresponse null hypothesis observation units p-value persons phase I sample plot population mean population quantities population total possible samples poststratification probability sample questionnaire random variables ratio estimation regression estimation respondents response rate sampling design sampling fraction sampling frame sampling units sampling weights Section selected self-weighting simple random sampling ssus standard error statistics strata stratified random sample stratified sample stratum stratum h subsample survey data survey design systematic sample take an SRS total number two-phase sampling U.S. Census Bureau unbiased estimator unequal-probability sample variance estimator