<p></p><p> <br/></p><p><br/>【书名】Sampling Methodologies with Applications 
<br/>【作者】Poduri S.R.S Rao
<br/>【出版社】Chapman & Hall/CRC
<br/>【版本】只有一个版本<br/>【出版日期】2000<br/>
【文件格式】PDF
<br/>【文件大小】4.1MB
<br/>【页数】
336<br/>【ISBN出版号】158488214X
<br/>【资料类别】统计学
<br/>【市面定价】$79.95 (amazon上的价)
<br/>【扫描版还是影印版】清晰电子版
<br/>【是否缺页】完整
<br/>【关键词】sampling
<br/>【内容简介】
Most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results. Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics.<br/>【目录】 INTRODUCTION</p><p></p><p><br/>    * Censuses and Surveys<br/>    * Types of Surveys<br/>    * Sampling Frame<br/>    * Questionnaires, Interviews, and Sample Sizes<br/>    * Probability Sampling<br/>    * Nonprobability Sampling<br/>    * Sampling in Practice</p><p></p><p><br/>SIMPLE RANDOM SAMPLING: ESTIMATION OF MEANS AND TOTALS</p><p></p><p><br/>    * Population Total, Mean and Variance<br/>    * Sampling without Replacement<br/>    * Sample Mean and Variance<br/>    * Properties of Simple Random Sampling<br/>    * Unbiasedness of the Sample Mean and Variance<br/>    * Standard Error of the Sample Mean<br/>    * Distribution of the Sample Mean<br/>    * Confidence Limits for the Mean<br/>    * Estimating the Total<br/>    * Coefficient of Variation of the Sample Mean<br/>    * Sample Size Determination<br/>    * Sample Sizes for Individual Groups</p><p></p><p><br/>SIMPLE RANDOM SAMPLING: RELATED TOPICS</p><p></p><p><br/>    * Bias, Variance and Mean Square Error (MSE) of an Estimator<br/>    * Precision, Accuracy and Consistency<br/>    * Covariance and Correlation<br/>    * Linear Combination of Two Characteristics<br/>    * Systematic Sampling<br/>    * Nonresponse<br/>    * Inference Regarding the Means<br/>    * Sampling with Replacement</p><p></p><p><br/>PROPORTIONS, PERCENTAGES, AND COUNTS</p><p></p><p><br/>    * Two Classes<br/>    * Total Number or Count<br/>    * Confidence Limits<br/>    * Sample Sizes for Specified Requirements<br/>    * Political and Public Polls<br/>    * Estimation for more than Two Classes<br/>    * Combining Estimates from Surveys<br/>    * Covariances of Proportions<br/>    * Difference between Proportions<br/>    * Sample Sizes for more than Two Classes<br/>    * Estimating Population Size</p><p></p><p><br/>STRATIFICATION</p><p></p><p><br/>    * Notation<br/>    * Estimation for a Single Stratum<br/>    * Estimation of the Population Mean and Total<br/>    * Confidence Limits<br/>    * Proportions and Totals<br/>    * Population Total and Proportion<br/>    * Proportional and Equal Allocation of the Sample<br/>    * Neyman Allocation<br/>    * Gains from Neyman Allocation<br/>    * Summary on the Precisions of the Allocations<br/>    * Sample Size Allocation to Estimate Proportions<br/>    * Sample Size to Estimate Means and Totals<br/>    * Sample Sizes to Estimate Proportions<br/>    * Sample Sizes for Minimizing Variance or Cost<br/>    * Further Topics</p><p></p><p><br/>SUBPOPULATIONS</p><p></p><p><br/>    * Totals, Means, and Variances<br/>    * Estimation of the Means and their Differences<br/>    * Totals of Subpopulations<br/>    * Sample Sizes for Estimating the Means and Totals<br/>    * Proportions and Counts<br/>    * Subpopulations of a Stratum<br/>    * Totals and Means of Subpopulations in Strata<br/>    * Stratification: Proportions and Counts of Subpopulations</p><p></p><p><br/>CLUSTER SAMPLING</p><p></p><p><br/>    * Clusters of Equal Sizes<br/>    * Estimation of the Means<br/>    * Comparison with Simple Random Sampling<br/>    * Estimation of the Standard Error<br/>    * Optimum Cluster and Sample Sizes<br/>    * Unequal Size Clusters<br/>    * Alternative Estimation with Unequal Sizes<br/>    * Proportions and Percentages<br/>    * Stratification<br/>    * Unequal Probability Selection<br/>    * Horvitz-Thompson Estimator<br/>    * Alternative Approaches</p><p></p><p><br/>SAMPLING IN TWO STAGES</p><p></p><p><br/>    * Equal Size First Stage Units<br/>    * Estimating the Mean<br/>    * Sample Size Determination - Equal size PSUs<br/>    * Unequal Size Primary Units<br/>    * Sample Sizes - Unequal Size PSUs<br/>    * Ratio Adjustment for the Sizes<br/>    * Proportions and Totals<br/>    * Unequal Probability Selection</p><p></p><p><br/>RATIOS AND RATIO ESTIMATORS</p><p></p><p><br/>    * Bias and Variance of the Sample Ratio<br/>    * Confidence Limits for the Ratio of Means<br/>    * Ratio Estimators for the Mean and Total<br/>    * Confidence Limits for the Mean and Total<br/>    * Differences between Ratios, Means, or Totals<br/>    * Regression through the Origin and the BLUEs<br/>    * Ratio Estimation versus Stratification<br/>    * Ratio Estimation with Stratification<br/>    * Bias Reduction<br/>    * Two-phase or Double Sampling Ratio Estimators<br/>    * Ratio Estimator with Unequal Probability Selection<br/>    * Multivariate Ratio Estimator</p><p></p><p><br/>REGRESSION ESTIMATION</p><p></p><p><br/>    * The Regression Estimator<br/>    * Estimation from the Sample<br/>    * Classical Linear Regression<br/>    * Differences between Regression Estimators<br/>    * Regression Estimation versus Stratification<br/>    * Stratification and Regression Estimator<br/>    * Multiple Regression Estimator<br/>    * Double Sampling Regression Estimator<br/>    * Generalized Regression and Calibration Estimators</p><p></p><p><br/>NONRESPONSE AND REMEDIES</p><p></p><p><br/>    * Effects of Survey Topics and Interviewing Methods<br/>    * Response Rates<br/>    * Bias and MSE<br/>    * Estimating Proportions<br/>    * Subsampling the Nonrespondents<br/>    * Estimating the Missing Observations<br/>    * Ratio and Regression Estimators<br/>    * Poststratification and Weighting<br/>    * Response Probabilities and Weighting<br/>    * Imputation<br/>    * Related Topics</p><p></p><p><br/>FURTHER TOPICS</p><p></p><p><br/>    * Linearization<br/>    * The Jackknife<br/>    * The Bootstrap<br/>    * Balanced Repeated Replication (BRR)<br/>    * Small Area Estimation<br/>    * Complex Surveys</p><p></p><p><br/>SOLUTIONS TO EXERCISES</p><p><br/>BIBLIOGRAPHY</p><p><br/>APPENDIX OF TABLES 
<br/>【原创书评】好像有不少老师教sampling喜欢用 Sharon L. Lohr 的 Sampling: Design and Analysis. 我上的一堂课就是,但是如果你是刚刚接触到sampling,会被Lohr的notation搞得晕头转向的.我就是靠这本书生存下来的.我个人觉得(对于像我这样的入门者)Rao的这本书绝对比Lohr的那本($155)书值. 强烈建议入门的先看这本书.</p>

[此贴子已经被angelboy于2008-7-29 14:46:56编辑过]