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Randomized Response Models in Survey Sampling

The Approach of Randomized Response Models (RRM) is quite new and has had been used in sensitive surveys to procure honest responses from;

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Incomplete Categorical Data Design

potentially inaccurate data. Addressing this difficulty, non-randomized response approaches enable sample survey practitioners and applied;

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Incomplete Categorical Data Design

potentially inaccurate data. Addressing this difficulty, non-randomized response approaches enable sample survey practitioners and applied;

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Design and Inference in Finite Population Sampling

topics not found in other texts on sampling such as the superpopulation approach and randomized response, nonresponse and resampling techniques.;

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Randomized Response and Indirect Questioning Techniques in Surveys

For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining;

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Randomized Response and Indirect Questioning Techniques in Surveys

For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining;

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Sampling and Estimation from Finite Populations

This comprehensive text takes a critical look at the modern development of the theory of survey sampling as well as the foundations;

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Sampling Theory and Practice

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that;

Vergelijkbare producten zoals Sampling Theory and Practice

Sampling Theory and Practice

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that;

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Contributions to Sampling Statistics

international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human;

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Sampling Statistics

Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many;

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Randomized Response and Related Methods: Surveying Sensitive Data

A fully updated and accessible overview of randomized response;

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Mail Surveys

How do you reduce sampling bias and question response errors and obtain good response rates from a mail survey? Aimed at improving the;

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Finite Population Sampling and Inference

Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential;

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Handling Missing Data in Ranked Set Sampling

The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example;

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Ranked Set Sampling Models and Methods

Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book;

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A New Concept for Tuning Design Weights in Survey Sampling

A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning;

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Introduction to Survey Sampling

Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required;

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Handbook of Survey Methodology for the Social Sciences

-sampling bias. Relying on the Total Survey Error theory, various issues of both sampling and non-sampling sources of error are explored and;

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Survey Sampling Theory and Applications

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and;

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Evaluating AIDS Prevention Programs

in AIDS Survey D Sampling and Randomization: Technical Questions about Evaluating CDC's Three Major AIDS Prevention Programs E Ancillary;

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A Companion to Survey Research

sampling, which deal with the statistical basis of survey sampling and practical design issues, are followed by extensive discussions of survey;

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Improving Survey Response

randomprobability sampling and aimed at minimising nonresponse bias. Key features of Improving Survey Response: * A detailed coverage of nonresponse issues;

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Adaptive Sampling

. In marked contrast to conventional sampling designs, in which the entire sample of units to be observed is fixed prior to the survey, adaptive;

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Survey Sampling Methods

The book, comprising the latest developments in sampling techniques, presents a blend of theoretical and practical aspects of sample survey;

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Reducing Response Burden in the American Community Survey

Although people in the United States have historically been reasonably supportive of federal censuses and surveys, they are increasingly;

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How to Sample in Surveys

use the most appropriate sampling methods for their survey. Fink provides detailed descriptions of inclusion/exclusion criteria, the;

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