Ebook: Sampling, Third Edition

Content:
Chapter 1 Introduction (pages 1–8):
Chapter 2 Simple Random Sampling (pages 9–37):
Chapter 3 Confidence Intervals (pages 39–51):
Chapter 4 Sample Size (pages 53–56):
Chapter 5 Estimating Proportions, Ratios, and Subpopulation Means (pages 57–66):
Chapter 6 Unequal Probability Sampling (pages 67–89):
Chapter 7 Auxiliary Data and Ratio Estimation (pages 91–114):
Chapter 8 Regression Estimation (pages 115–124):
Chapter 9 The Sufficient Statistic in Sampling (pages 125–129):
Chapter 10 Design and Model (pages 131–137):
Chapter 11 Stratified Sampling (pages 139–156):
Chapter 12 Cluster and Systematic Sampling (pages 157–170):
Chapter 13 Multistage Designs (pages 171–182):
Chapter 14 Double or Two?Phase Sampling (pages 183–198):
Chapter 15 Network Sampling and Link?Tracing Designs (pages 199–213):
Chapter 16 Detectability and Sampling (pages 215–227):
Chapter 17 Line and Point Transects (pages 229–261):
Chapter 18 Capture–Recapture Sampling (pages 263–274):
Chapter 19 Line?Intercept Sampling (pages 275–282):
Chapter 20 Spatial Prediction or Kriging (pages 283–299):
Chapter 21 Spatial Designs (pages 301–303):
Chapter 22 Plot Shapes and Observational Methods (pages 305–311):
Chapter 23 Adaptive Sampling Designs (pages 313–318):
Chapter 24 Adaptive Cluster Sampling (pages 319–337):
Chapter 25 Systematic and Strip Adaptive Cluster Sampling (pages 339–352):
Chapter 26 Stratified Adaptive Cluster Sampling (pages 353–368):