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Elementary survey sampling / Richard L. Scheaffer, William Mendenhall III, Lyman Ott

Main Author Scheaffer, Richard L Coauthor Mendenhall, William
Ott, R. Lyman
Country Estados Unidos. Edition 5th ed Publication Belmont : Duxbury Press, cop. 1996 Description X, 501 p. : il. ; 25 cm + 1 disquete ISBN 0-534-24342-8 CDU 519.243
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Holdings
Item type Current location Call number Vol info Status Date due Barcode Item holds Course reserves
Monografia Biblioteca da UMinho no Campus de Azurém
BPG 519.243 - S Available 336445

Licenciatura em Estatística Aplicada Sondagens e Técnicas de Amostragem 2º semestre

Produtos Computador Biblioteca da UMinho no Campus de Azurém
BREG9 519.243 - S DISQUETE 1 Available 336450
Total holds: 0

Enhanced descriptions from Syndetics:

Focusing on the practical aspects of survey sampling, this introduction is intended for a one-term service course in survey sampling for students in the social sciences, business, and natural resources management (college algebra prerequisite). Appealing to the student with a limited background in math.

Table of contents provided by Syndetics

  • 1 Introduction
  • 2 A Review Of Some Basic Concepts
  • Introduction
  • Describing data with graphs and tables
  • Summarizing information in populations and samples
  • Sampling distributions
  • Covariance and correlation
  • Estimation
  • Summary
  • Exercises
  • 3 Elements Of The Sampling Problem
  • Introduction
  • Technical terms
  • How to select the sample: the design of the sample survey
  • Sources of errors in surveys
  • Designing a questionnaire
  • Planning a survey
  • Summary
  • Exercises
  • Experiences with real data
  • 4 Simple Random Sampling
  • Introduction
  • How to draw a simple random sample
  • Estimation of a population mean and total
  • Selecting the sample size for estimating population means and totals
  • Estimation of a population proportion
  • Comparing estimates
  • Summary
  • Exercises
  • Experiences with real data
  • 5 Stratified Random Sampling
  • Introduction
  • How to draw a stratified random sample
  • Estimation of a population mean and total
  • Selecting the sample size for estimating population means and totals
  • Allocation of the sample
  • Estimation of a population proportion
  • Selecting the sample size and allocating the sample to estimate proportions
  • Additional comments on stratified sampling
  • An optimal rule for choosing strata
  • Stratification after selection of the sample
  • Double sampling for stratification
  • Summary
  • Exercises
  • Experiences with real data
  • 6 Ratio, Regression, And Difference Estimation
  • Introduction
  • Surveys that require the use of ratio estimators
  • Ratio estimation using simple random sampling
  • Selecting the sample size
  • Ratio estimation in stratified random sampling
  • Regression estimation
  • Difference estimation
  • Relative efficiency of estimators
  • Summary
  • Exercises
  • Experiences with real data
  • 7 Systematic Sampling
  • Introduction
  • How to draw a systematic sample
  • Estimation of a population mean and total
  • Estimation of a population proportion
  • Selecting the sample size
  • Repeated systematic sampling
  • Further discussion of variance estimators
  • Summary
  • Exercises
  • Experience with real data
  • 8 Cluster Sampling
  • Introduction
  • How to draw a cluster sample
  • Estimation of a population mean and total
  • Equal cluster sizes; comparison to simple random sampling
  • Selecting the sample size for estimating population means and totals
  • Estimation of a population proportion
  • Selecting the sample size for estimating proportions
  • Cluster sampling combined with stratification
  • Cluster sampling with probabilities proportional to size
  • Summary
  • Exercises
  • Experiences with real data
  • 9 Two-Stage Cluster Sampling
  • Introduction
  • How to draw a two-stage cluster sample
  • Unbiased estimation of a population mean and total
  • Ratio estimation of a population mean
  • Estimation of a population proportion
  • Sampling equal-sized clusters
  • Two-stage cluster sampling with probabilities proportional to size
  • Summary
  • Exercises
  • Experiences with real data
  • 10 Estimating The Population Size
  • Introduction
  • Estimation of a population size using direct sampling
  • Estimation of a population size using inverse sampling
  • Choosing sample sizes for direct and inverse sampling
  • Estimating population density and size from quadrat samples
  • Estimating population density and size from stocked quadrats
  • Summary
  • Exercises
  • Experiences with real data
  • 11 Supplemental Topics
  • Introduction
  • Interpenetrating subsamples
  • Estimation of means and totals over subpopulations
  • Random-response model
  • Selecting the number of callbacks
  • Summary
  • Exercises
  • Experiences with real data
  • 12 Summary
  • Summary of the designs and methods
  • Comparisons among the designs and methods
  • Exercises

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