Network and Adaptive Sampling
Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities t...
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| Main Author | |
|---|---|
| Format | eBook Book |
| Language | English |
| Published |
Boca Raton
CRC Press
2015
Taylor & Francis Group |
| Edition | 1 |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9781466577565 1466577568 |
| DOI | 10.1201/b15675 |
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| Abstract | Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores |
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| AbstractList | Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods. |
| Author | Chaudhuri, Arijit |
| Author_xml | – sequence: 1 fullname: Chaudhuri, Arijit |
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| Copyright | 2015 by Taylor & Francis Group, LLC |
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| Keywords | Simple Random Sample Adaptive Sampling Empirical Bayes Estimator estimators simple Edge Unit Stage Units Male Female Total random measures Average Coverage Probability Unbiased Estimator Vp Normed Size Measures normed Conditional Expectation Observation Units observation Selection Unit National Sample Survey Office Hth Stratum Pre-assigned Probability unit Randomized Response Technique size selection unbiased Generalized Regression Estimators Network Sampling Initial Unit Gth Group Simple Random Observational Units Asymptotic Design Sij Sij |
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| Notes | Includes bibliographical references and index |
| OCLC | 887498820 |
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| PageCount | 132 |
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| Snippet | Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively... |
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| SubjectTerms | Adaptive sampling (Statistics) MATHEMATICS / Probability & Statistics / General |
| TableOfContents | Front Cover -- Dedication -- Preface -- Acknowledgment -- Chapter-wise Summary -- List of Abbreviations -- Contents -- Chapter 1: Notations and Introduction -- Chapter 2: Sampling and Estimation Methods -- Chapter 3: Plea for Network Sampling -- Chapter 4: Need for Adaptive Sampling -- Chapter 5: Adaptive and Network in Tandem with Constraints -- Chapter 6: Applications and Case Studies -- Chapter 7: A Brief Review of Available Literature -- Appendix -- Bibliography |
| Title | Network and Adaptive Sampling |
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