A manual of sampling techniques:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Heinemann
1973
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XV, 384 S. |
| ISBN: | 0435538659 |
Internformat
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| 100 | 1 | |a Som, Ranjan K. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a A manual of sampling techniques |c Ranjan Kumar Som* |
| 264 | 1 | |a London |b Heinemann |c 1973 | |
| 300 | |a XV, 384 S. | ||
| 336 | |b txt |2 rdacontent | ||
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| 650 | 4 | |a Échantillonnage (Statistique) | |
| 650 | 4 | |a Sampling (Statistics) | |
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Datensatz im Suchindex
| _version_ | 1804120514774433792 |
|---|---|
| adam_text | Contents
Foreword v
Preface vii
Acknowledgements ix
Guide to readers xvi
Chapter 1. Basic Concepts of Sampling 1
Introduction — Complete enumeration or sample — Advantages of
sampling — Limitations of sampling — Relationship between a complete
enumeration and a sample Probability versus purposive samples
Terms and definitions — Sampling frames — Types of probability
sampling — Universe parameters — Sample estimators — Criteria of
estimators — Mean square error Principal steps in a sample survey —
Symbols and notations — Further reading — Exercises
PART I: SINGLE STAGE SAMPLING
Chapter 2. Simple Random Sampling 19
Introduction — Characteristics of the universe — Simple random
sampling — Sampling without replacement — Sampling with replace¬
ment — Important results — Fundamental theorems — Standard errors
of estimators and setting of probability limits — Estimation of totals,
means, ratios, and their variances — Use of random sample numbers —
Examples — Estimation for sub universes — Estimation of proportion
of units — Method of random groups for estimating variances and
covariances — Further reading — Exercises
Chapter 3. Use of Ancillary Variables in Simple Random Sampling 47
Introduction Ratio method of estimation Regression method of
estimation — Further reading — Exercises
Chapter 4. Systematic Sampling 53
Introduction — Linear and circular systematic sampling — Sample
mean and variance — Estimation of variance — Examples — Further
reading Exercise
Chapter 5. Varying Probability Sampling: Sampling with Probability
Proportional to Size 59
Introduction — Selection of one unit with probability proportional
to size — Estimating procedures — Procedure of selection of sample
units with pps — Examples — Special cases of crop surveys Ratio
method of estimation Further reading Exercises
xii Contents .
Chapter 6. Choice of Sampling Units: Cluster Sampling 75
Introduction Simple random sampling Discussion of the results [
Notes — Further reading — Exercises :
Chapter 7. Size of Sample: Cost and Error 82
Introduction Simple random sampling — Estimation of variance
Cost considerations Balance of cost and error Cluster sampling
General remarks — Further reading — Exercises
Chapter 8. Self weighting Designs 92
Introduction — Simple random sampling Varying probability
sampling — Rounding off of multipliers
PART II: STRATIFIED SINGLE STAGE SAMPLING
Chapter 9. Stratified Sampling: Introduction
Introduction — Reasons for stratification — Fundamental theorems
in stratified sampling — Setting of probability limits — Selection of
two units from each stratum — Further reading
Chapter 10. Stratified Simple Random Sampling 104
Introduction — Estimation of totals, means, ratios and their
variances — Examples — Estimation of proportion of units — Ratio
method of estimation: combined and separate ratio estimators —
Ratio of ratio estimators of totals of two study variables — Gain due
to stratification — Stratification after sampling Further reading —
Exercises
Chapter 11. Stratified Varying Probability Sampling 123
Introduction — Estimation of totals, means, ratios and their variances —
Examples — Different schemes of selection in different strata — Special
cases of crop surveys — Ratio method of estimation: combined and
separate ratio estimators Ratio of ratio estimators of totals of two
study variables — Gain due to stratification — Further reading
Exercise
Chapter 12. Size of Sample and Allocation to Different Strata 13 5
Introduction — Principles of stratification Allocation of sample
size to different strata Formation of strata Multiple stratification
Determination of the total sample size Example Further reading
Exercises
Chapter 13. Self weighting Designs in Stratified Single stage Sampling 146
Introduction Stratified simple random sampling Stratified
varying probability sampling Fractional values of nh Self
weighting designs at the tabulating stage Further reading
Contents xiii
PART III: MULTI STAGE SAMPLING
Chapter 14. Multi stage Sampling: Introduction 151
Introduction — Reasons for multi stage sampling — Structure of a
multi stage design — Fundamental theorems in multi stage sampling —
Setting of probability limits — Further reading
Chapter 15. Multi stage Simple Random Sampling 156
Introduction — Two stage srs: estimation of totals, means, ratios and
their variances — Two stage srs: estimation for sub universes — Two
stage srs: estimation of proportion of units — Two stage srs: ratio
method of estimation — Two stage srs: examples — Three stage srs:
estimation of totals, means, ratios and their variances — Three stage
srs: estimation for sub universes, and their variances — Three stage srs:
estimation of proportion of units — Three stage srs: ratio method of
estimation — Three stage srs: example — Further reading — Exercises
Chapter 16. Multi stage Varying Probability Sampling 180
Introduction — General estimating equations: two and three stage
pps design — Two stage design with pps and srs — Three stage design
with pps, srs, and srs — Special cases of crop surveys — Further
reading — Exercises
Chapter 17. Size of Sample and Allocation to Different Stages 193
Introduction Two stage design — Three stage designs — Further
reading — Exercises
Chapter 18. Self weighting Designs in Multi stage Sampling 201
Introduction — General case — Two stage sample design with pps
and srs — Opinion and marketing research — Further reading
PART IV: STRATIFIED MULTI STAGE SAMPLING
Chapter 19. Stratified Multi stage Sampling: Introduction 209
Introduction Reasons for stratified multi stage sampling —
Fundamental theorems in stratified multi stage sampling
Chapter 20. Stratified Multi stage Simple Random Sampling 214
Introduction Stratified two stage srs: estimation of totals, means,
ratios, and their variances — Stratified three stage srs — Miscellaneous
notes — Further reading — Exercises
Chapter 21. Stratified Multi stage Varying Probability Sampling 242
Introduction Stratified two and three stage pps designs —
Stratified two stage design with pps and srs — Stratified three
stage design with pps, and srs — Special cases of crop surveys
Further reading — Exercises
xiv Contents
Chapter 22. Size of Sample and Allocation to Different Strata and Stages 256
Introduction Optimum allocations Gain due to stratification ]
Further reading ;
Chapter 23. Self weighting Designs in Stratified Multi stage Sampling 258
Introduction General formulation Stratified two stage design
with pps and srs — Opinion and marketing research Self weighting
versus optimum designs — Further reading
PART V: MISCELLANEOUS TOPICS
Chapter 24. Miscellaneous Sampling Topics 263
Introduction — Multi phase sampling — Sampling on successive
occasions Estimation of mobile populations Inverse sampling
Interpenetrating network of sub samples — Simplified methods of
variance computations — Method of collapsed strata — Controlled
selection — Use of Bayes s theorem in sampling — Further reading
Chapter 25. Errors and Biases in Data and Estimates 278
Introduction — Classification of errors in data and estimates —
Simple statistical model — More complex models — Measurement
of response errors — Control of non sampling errors Evaluation and
control of sampling versus non sampling errors — Adjustment for non
response — Concluding remarks — Further reading
Chapter 26. Planning, Execution, and Analysis of Surveys 299
Introduction — Objectives of the survey — Legal basis — Publicity
and co operation of respondents — Budget and cost control —
Survey calendar Administrative organization — Co ordination
with other inquiries — Cartographic (mapping) work — Tabulation
programmes — Methods of data collection — Questionnaire
preparation — Survey design — Pilot inquiries and pre tests —
Selection and training of enumerators — Supervision — Processing
of data Preparation of reports Further reading
Appendix I List of notations and symbols 317
Appendix II Elements of probability and proofs of some theorems in
sampling 319
Appendix III Statistical tables 337
Appendix IV Hypothetical universe of 600 households in 30 villages in
3 zones 341
Appendix V Case study: Indian National Sample Survey, 1964—5 343
Contents xv
References 357
Answers to Exercises ^63
Index of Names and Organizations 367
Index of Subjects 371
|
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| institution | BVB |
| isbn | 0435538659 |
| language | English |
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| spelling | Som, Ranjan K. Verfasser aut A manual of sampling techniques Ranjan Kumar Som* London Heinemann 1973 XV, 384 S. txt rdacontent n rdamedia nc rdacarrier Steekproeven gtt Échantillonnage (Statistique) Sampling (Statistics) HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003982431&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Som, Ranjan K. A manual of sampling techniques Steekproeven gtt Échantillonnage (Statistique) Sampling (Statistics) |
| title | A manual of sampling techniques |
| title_auth | A manual of sampling techniques |
| title_exact_search | A manual of sampling techniques |
| title_full | A manual of sampling techniques Ranjan Kumar Som* |
| title_fullStr | A manual of sampling techniques Ranjan Kumar Som* |
| title_full_unstemmed | A manual of sampling techniques Ranjan Kumar Som* |
| title_short | A manual of sampling techniques |
| title_sort | a manual of sampling techniques |
| topic | Steekproeven gtt Échantillonnage (Statistique) Sampling (Statistics) |
| topic_facet | Steekproeven Échantillonnage (Statistique) Sampling (Statistics) |
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