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Elementary Survey Sampling [With CDROM]

by Scheaffer, Richard L.; Ott, R. Lyman;... | HC | Good
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所在地:Aurora, Illinois, 美國
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賣家備註
“Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ...
Binding
Hardcover
Weight
2 lbs
Product Group
Book
IsTextBook
No
ISBN
9780534418052
Publication Year
2005
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Elementary Survey Sampling
Item Height
0.9in
Author
William Mendenhall III, R. Lyman Ott, Richard L. Scheaffer
Item Length
9.2in
Publisher
Brooks/Cole
Item Width
7.5in
Item Weight
29.7 Oz
Number of Pages
486 Pages

關於產品

Product Information

This introductory text on the design and analysis of sample surveys emphasizes the practical aspects of survey problems. It begins with brief chapters on the role of sample surveys in the modern world. Thereafter, each chapter introduces a sample survey design or estimation procedure by describing the pertinent practical problem. The authors describe the methodology proposed for solving the problem and provide the details of the estimation procedure, including a compact presentation of the formulas needed to complete the analysis. Then, a practical example is worked out in complete detail. At the end of each chapter, a wealth of exercises gives students ample opportunity to practice the techniques and stretch their grasp of ideas.

Product Identifiers

Publisher
Brooks/Cole
ISBN-10
0534418058
ISBN-13
9780534418052
eBay Product ID (ePID)
43896862

Product Key Features

Author
William Mendenhall III, R. Lyman Ott, Richard L. Scheaffer
Publication Name
Elementary Survey Sampling
Format
Hardcover
Language
English
Publication Year
2005
Type
Textbook
Number of Pages
486 Pages

Dimensions

Item Length
9.2in
Item Height
0.9in
Item Width
7.5in
Item Weight
29.7 Oz

Additional Product Features

Lc Classification Number
Qa276.6.S385 2006
Edition Number
6
Table of Content
1. INTRODUCTION. 2. 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. 3. SOME BASIC CONCEPTS OF STATISTICS. Introduction. Summarizing Information in Populations and Samples: The Infinite Population Case. Summarizing Information in Populations and Samples: The Finite Population Case. Sampling Distributions. Covariance and Correlation. Estimation. Summary. 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. 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. 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. 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. 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. 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. 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. Adaptive Sampling. Summary. 11. SUPPLEMENTAL TOPICS. Introduction. Interpenetrating Subsamples. Estimation of Means and Totals over Subpopulations. Random-Response Model. Use of Weights in Sample Surveys. Adjusting for Nonresponse. Imputation. Selecting the Number of Callbacks. The Bootstrap. Summary. 12. SUMMARY. Summary of the Designs and Methods. Comparisons among the Designs and Methods. Appenidices. References and Bibliography Tables. Derivation of Some Main Results. Macros for MINITAB. Macros for SAS. Data Sets. Selected Answers. Index.
Copyright Date
2006
Target Audience
College Audience
Topic
Probability & Statistics / General, Research
Lccn
2004-112934
Illustrated
Yes
Genre
Mathematics, Social Science

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