Elementary survey sampling:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Belmont, Calif. [u.a.]
Duxbury Pr.
1996
|
| Edition: | 5. ed. |
| Series: | An Alexander Kugushev book
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | X, 501 S. graph. Darst. + Diskette 9 cm |
| ISBN: | 0534243428 |
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Record in the Search Index
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|---|---|
| adam_text | CONTENTS
CHAPTER
INTRODUCTION 1
CHAPTER
A REVIEW OF SOME BASIC CONCEPTS 7
2.1 Introduction...................................................... 7
2.2 Describing data with graphs and tables............................. 8
2.3 Summarizing information in populations and samples................ 21
2.4 Sampling distributions............................................ 24
2.5 Covariance and correlation........................................ 28
2.6 Estimation........................................................ 30
2.7 Summary........................................................... 31
Exercises........................................................ 32
CHAPTER
ELEMENTS OF THE SAMPLING PROBLEM 41
3.1 Introduction....
3.2 Technical terms
41
42
CONTENTS
• •
VU
3.3 How to select the sample: The design of the sample survey........... 44
3.4 Sources of errors in surveys......................................... 51
3.5 Designing a questionnaire............................................ 62
3.6 Planning a survey.................................................... 68
3.7 Summary.............................................................. 70
Exercises........................................................... 70
Experiences with real data.......................................... 76
CHAPTER 4
SIMPLE RANDOM SAMPLING 79
4.1 Introduction......................................................... 79
4.2 How to draw a simple random sample.................................. 81
4.3 Estimation of a population mean and total............................ 83
4.4 Selecting the sample size for estimating population means and totals. 92
4.5 Estimation of a population proportion................................ 95
4.6 Comparing estimates................................................. 100
4.7 Summary............................................................. 106
Exercises.......................................................... 109
Experiences with real data......................................... 121
CHAPTER 5
STRATIFIED RANDOM SAMPLING 125
5.1 Introduction........................................................... 125
5.2 How to draw a stratified random sample................................ 127
5.3 Estimation of a population mean and total............................. 129
5.4 Selecting the sample size for estimating population means and totals.. 136
5.5 Allocation of the sample.............................................. 140
5.6 Estimation of a population proportion.................................. 149
5.7 Selecting the sample size and allocating the sample to estimate
proportions............................................................. 152
5.8 Additional comments on stratified sampling.............................. 161
5.9 An optimal rule for choosing strata..................................... 165
5.10 Stratification after selection of the sample........................... 166
5.11 Double sampling for stratification..................................... 169
5.12 Summary................................................................ 172
Exercises............................................................... 175
Experiences with real data.............................................. 184
CONTENTS
CHAPTER
RATIO, REGRESSION, AND DIFFERENCE
ESTIMATION 197
6.1 Introduction....................................................... 197
6.2 Surveys that require the use of ratio estimators__________________ 198
6.3 Ratio estimation using simple random sampling...................... 200
6.4 Selecting the sample size.......................................... 209
6.5 Ratio estimation in stratified random sampling.................... 218
6.6 Regression estimation.............................................. 222
6.7 Difference estimation.............................................. 226
6.8 Relative efficiency of estimators.................................. 228
6.9 Summary............................................................ 235
Exercises........................................................... 237
Experiences with real data.......................................... 247
CHAPTER
SYSTEMATIC SAMPLING 251
7.1 Introduction.......................................................... 251
7.2 How to draw a systematic sample......................................... 254
7.3 Estimation of a population mean and total............................... 255
7.4 Estimation of a population proportion................................... 262
7.5 Selecting the sample size............................................... 264
7.6 Repeated systematic sampling............................................ 266
7.7 Further discussion of variance estimators............................... 270
7.8 Summary................................................................. 278
Exercises............................................................... 280
Experience with real data............................................... 286
CHAPTER
CLUSTER SAMPLING 289
8.1 Introduction--------------------------------------------------------------- 289
8.2 How to draw a cluster sample----------------------------------------------- 291
CONTENTS
ix
8.3 Estimation of a population mean and total................................. 293
8.4 Equal cluster sizes; comparison to simple random sampling................. 299
8.5 Selecting the sample size for estimating population means and totals.... 303
8.6 Estimation of a population proportion..................................... 307
8.7 Selecting the sample size for estimating proportions...................... 311
8.8 Cluster sampling combined with stratification............................. 312
8.9 Cluster sampling with probabilities proportional to size.................. 314
8.10 Summary................................................................... 320
Exercises................................................................. 322
Experiences with real data................................................ 332
CHAPTER
TWO-STAGE CLUSTER SAMPLING 335
9.1 Introduction...................................................... 335
9.2 How to draw a two-stage cluster sample............................. 337
9.3 Unbiased estimation of a population mean and total................. 337
9.4 Ratio estimation of a population mean.............................. 342
9.5 Estimation of a population proportion.............................. 345
9.6 Sampling equal-sized clusters...................................... 348
9.7 Two-stage cluster sampling with probabilities proportional to size. 352
9.8 Summary............................................................ 355
Exercises........................................................... 356
Experiences with real data.......................................... 360
CHAPTER
ESTIMATING THE POPULATION SIZE 363
10.1 Introduction.................................................... 363
10.2 Estimation of a population size using direct sampling............ 364
10.3 Estimation of a population size using inverse sampling........... 366
10.4 Choosing sample sizes for direct and inverse sampling.......... 367
10.5 Estimating population density and size from quadrat samples...... 371
10.6 Estimating population density and size from stocked quadrats..... 375
10.7 Summary.......................................................... 377
Exercises......................................................... 380
Experiences with real data........................................ 382
JC
CONTENTS
CHAPTER
SUPPLEMENTAL TOPICS 387
11.1 Introduction.................................................... 387
11.2 Interpenetrating subsamples.................................... 388
11.3 Estimation of means and totals over subpopulations............. 390
11.4 Random-response model........................................ 395
11.5 Selecting the number of callbacks.............................. 399
11.6 Summary........................................................ 401
Exercises....................................................... 402
Experiences with real data...................................... 404
CHAPTER 12
SUMMARY 405
12.1 Summary of the designs and methods................. 405
12.2 Comparisons among the designs and methods.......*. 407
Exercises........................................... 409
APPENDIX 1 423
References and Bibliography......................... 423
Tables.............................................. 425
Derivation of some main results..................... 428
APPENDIX 2 435
Macros for MINITAB.................................. 435
APPENDIX 3 447
Macros for SAS...................................... 447
APPENDIX 4 473
Data sets..........................................— 473
SELECTED ANSWERS 493
INDEX 497
|
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| author | Scheaffer, Richard L. Mendenhall, William 1925- Ott, Lyman |
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| dewey-search | 519.52 |
| dewey-sort | 3519.52 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| edition | 5. ed. |
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| spelling | Scheaffer, Richard L. Verfasser aut Elementary survey sampling Richard L. Scheaffer ; William Mendenhall ; Lyman Ott 5. ed. Belmont, Calif. [u.a.] Duxbury Pr. 1996 X, 501 S. graph. Darst. + Diskette 9 cm txt rdacontent n rdamedia nc rdacarrier An Alexander Kugushev book Échantillonnage (Statistique) Échantillonnage (statistique) ram Theorie (DE-588)4059787-8 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content (DE-588)4123623-3 Lehrbuch gnd-content Stichprobe (DE-588)4057502-0 s Theorie (DE-588)4059787-8 s 1\p DE-604 Mendenhall, William 1925- Verfasser (DE-588)132993791 aut Ott, Lyman Verfasser aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007607908&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Scheaffer, Richard L. Mendenhall, William 1925- Ott, Lyman Elementary survey sampling Échantillonnage (Statistique) Échantillonnage (statistique) ram Theorie (DE-588)4059787-8 gnd Stichprobe (DE-588)4057502-0 gnd |
| subject_GND | (DE-588)4059787-8 (DE-588)4057502-0 (DE-588)4151278-9 (DE-588)4123623-3 |
| title | Elementary survey sampling |
| title_auth | Elementary survey sampling |
| title_exact_search | Elementary survey sampling |
| title_full | Elementary survey sampling Richard L. Scheaffer ; William Mendenhall ; Lyman Ott |
| title_fullStr | Elementary survey sampling Richard L. Scheaffer ; William Mendenhall ; Lyman Ott |
| title_full_unstemmed | Elementary survey sampling Richard L. Scheaffer ; William Mendenhall ; Lyman Ott |
| title_short | Elementary survey sampling |
| title_sort | elementary survey sampling |
| topic | Échantillonnage (Statistique) Échantillonnage (statistique) ram Theorie (DE-588)4059787-8 gnd Stichprobe (DE-588)4057502-0 gnd |
| topic_facet | Échantillonnage (Statistique) Échantillonnage (statistique) Theorie Stichprobe Einführung Lehrbuch |
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