Chapter: 20 Data-based sampling and model-based estimation for environmental resources

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Home > Sampling > 20 Data-based sampling and model-based estimation for environmental resources

Sampling |

P.R. Krishnaiah and C.R. Rao

Elsevier

20 Data-based sampling and model-based estimation for environmental resources

Chapter Info

Authors

G.P. Patil; G.J. Babu; R.C. Hennemuth; W.L. Myers; M.B. Rajarshi; C. Taillie

ARI Id

1665610479711_17473350

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Not Available Free

Pages

489-513

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Chapters/Headings	Author(s)	Pages	Info
Preface	C.R. Rao	v-vi
Contributors		xv-xvi
1 A brief history of random sampling methods	D.R. Bellhouse	1-14
2 A first course in survey sampling	Tore Dalenius	15-46
3 Optimality of sampling strategies	Arijit Chaudhuri	47-96
4 Simple random sampling	P.K. Pathak	97-109
5 On single stage unequal probability sampling	V.P. Godambe; M.E. Thompson	111-123
6 Systematic sampling	D.R. Bellhouse	125-145
7 Systematic sampling with illustrative examples	M.N. Murthy; T.J. Rao	147-185
8 Sampling in time	D.A. Binder; M.A. Hidiroglou	187-211
9 Bayesian inference in finite populations	William A. Ericson	213-246
10 Inference based on data from complex sample designs	Gad Nathan	247-266
11 Inference for finite population quantiles	J. Sedransk; Philip J. Smith	267-289
12 Asymptotics in finite population sampling	Pranab Kumar Sen	291-331
13 The technique of replicated or interpenetrating samples	J.C. Koop	333-368
14 On the use of models in sampling from finite populations	Ib Thomsen; Dinke Tesfu	369-397
15 The prediction approach to sampling theory	Richard M. Royall	399-413
16 Sample survey analysis: Analysis of variance and contingency tables	Daniel H. Freeman	415-426
17 Variance estimation in sample surveys	J.N.K. Rao	427-447
18 Ratio and regression estimators	Poduri S.R.S. Rao	449-468
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