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El. knyga: Network and Adaptive Sampling

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(Indian Statistical Institute, Kolkata, India)
  • Formatas: 134 pages
  • Išleidimo metai: 20-Aug-2014
  • Leidėjas: CRC Press Inc
  • Kalba: eng
  • ISBN-13: 9781466577572
Kitos knygos pagal šią temą:
Network and Adaptive SamplingDidesnis paveikslėlis
  • Formatas: 134 pages
  • Išleidimo metai: 20-Aug-2014
  • Leidėjas: CRC Press Inc
  • Kalba: eng
  • ISBN-13: 9781466577572
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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.

Preface vii
Acknowledgment xi
Chapter-wise Summary xiii
List of Abbreviations
xv
Chapter 1 Notations and Introduction
1(6)
1.1 Introduction
1(1)
1.2 Notations and Preliminaries
2(5)
Chapter 2 Sampling and Estimation Methods
7(20)
2.1 Introductory Preliminaries
7(4)
2.2 Sampling and Estimation Methods
11(16)
Chapter 3 Plea for Network Sampling
27(14)
3.1 Introduction
27(1)
3.2 Network Sampling and Constrained Network Sampling Procedures in One or More Stages
28(13)
3.2.1 With the Background thus Far Spelled Out It Seems Proper we may Straightaway Develop the Theory as Follows in Brief for Estimating the Survey Population Total of a Variable of Interest
28(4)
3.2.2 Single Stage Sampling of 'Selection Units' with Constraint in Sample Size
32(9)
Chapter 4 Need for Adaptive Sampling
41(12)
4.1 Introduction
41(1)
4.2 Adaptive Sampling Scheme
42(1)
4.3 Adaptive Sampling with Sample-size Restrictions
42(11)
4.3.1 Summary
42(1)
4.3.2 Introduction
43(1)
4.3.3 Estimation of Total and of Measure of Error of Estimator
44(3)
4.3.4 Two Special Cases
47(6)
Chapter 5 Adaptive and Network in Tandem with Constraints
53(12)
Abstract
53(1)
5.1 Introduction
54(1)
5.2 Methods of Sample Selection and Estimation
54(11)
5.2.1 An Observation
56(9)
Chapter 6 Applications and Case Studies
65(24)
6.1 Introduction
65(1)
6.2 How to Constrain Explosive Size of a Network Sample? Theory and Application with illustrated live data
65(16)
6.2.1 Introduction
66(1)
6.2.2 Unbiased Estimation of Observation Unit Total in Network Sampling
67(3)
6.2.3 Adjustment for "Constrained Sample Size" Network Sampling in Estimation
70(7)
6.2.4 Estimating Total Household Medical Expenses by Sampling Hospital in-patients
77(2)
6.2.5 Concluding Remarks
79(2)
6.3 An Exercise in Maternal Mortality Assessment in a District
81(1)
6.4 Adaptive and Network Sampling for a Drug Abuse Survey
82(7)
Chapter 7 A Brief Review of Available Literature
89(10)
Abstract
89(1)
7.1 Certain Details
90(9)
7.1.1 Chaudhuri, Bose & Ghosh's (2004) Applications
90(1)
7.1.2 Chaudhuri & Pal's (2005) Approach
90(2)
7.1.3 Chaudhuri & Saha's (2004) Findings
92(2)
7.1.4 Chaudhuri, Bose & Dihidar's (2005) Approach
94(1)
7.1.5 Chaudhuri, Bose & Ghosh's (2005) Observations
95(1)
7.1.6 Thompson (1992), Thompson & Seber (1996) and Seber & Salehi's (2013) Approaches
95(4)
Appendix 99(6)
Bibliography 105(6)
Author Index 111(2)
Subject Index 113
Chaudhuri, Arijit
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