[References: Adaptive cluster sampling and related topics]{.underline}

Compiled by Dave Smith 9/18/02.

Please send additional references to <david_r_smith@usgs.gov>.

Acharya, B., G. Bhattarai, A. de Gier, and A. Stein. 2000. Systematic
adaptive cluster sampling for the assessment of rare tree species in
Nepal. Forest Ecology and Management 137:65-73.

Blackwell, D. 1947. Conditional expectation and unbiased sequential
estimation. Annals of Mathematical Statistics 18:105-110.

Borkowski, J. J. 1999. Network inclusion probabilities and
Horvitz-Thompson estimation for adapative simple Latin square sampling.
Environmental and Ecological Statistics 6:291-311.

Bradbury, A. 2000. Stock assessment and management of red sea urchins
(*Strongylocentrotus franciscanus*) in Washington. Journal of Shellfish
Research 19:618-619.

Brown, J. A. 1994. The application of adaptive cluster sampling to
ecological studies. Pages 86-97. In D. J. Fletcher and B. F. J. Manly
(Eds.), Statistics in Ecology and Environmental Monitoring. University
of Otago Press, Dunedin, New Zealand.

Brown, J. A. 1996. The relative efficiency of adaptive cluster sampling.
Ph.D. thesis, University of Otago, Dunedin, New Zealand.

Brown, J. A. 1999. A comparison of two adaptive sampling designs.
Australian and New Zealand Journal of Statistics. 41:395-403.

Brown, J. A. and B. F. J. Manly. 1998. Restricted adaptive cluster
sampling. Environmental and Ecological Statistics. 5:49-63.

Chao, C. and S. K. Thompson. 2001. Optimal adaptive selection of
sampling sites. Environmetrics 12:517-538.

Christman, M. C. 1997a. Efficiency of some sampling designs for
spatially clustered populations. Environmetrics 8:145-166.

Christman, M. C. 1997b. Comparison of efficiency of adaptive sampling in
some spatially clustered populations. 1996 Joint Statistical Meetings,
ASA conference Proceedings for the Section on Statistics and the
Environment, 122-126.

Christman, M. C. 1997c. Comparison of some sampling designs for
spatially clustered populations. In Modeling Longitudinal and Spatially
Correlated Data: Methods, Applications, and Future Directions, T. G.
Gregoire, D. R. Brillinger, P. J. Diggle, E. Russek-Cohen, and R. D.
Wolfinger (eds.), 175-186. New York: Springer-Verlag

Christman, M. C. 2000. A review of quadrat-based sampling of rare,
geographically clustered populations. Journal of Agricultural,
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Christman, M. C. and J. S. Pontius. 2000. Bootstrap confidence intervals
for adaptive cluster sampling. Biometrics 56:503-510.

Christman, M. C. and F. Lan. 2001. Inverse adaptive cluster sampling.
Biometrics 57:1096-1105

Clausen, D. D. Hanselman, C. Lunsford, T. Quinn II and J. Heifetz. 1999.
Rockfish adaptive sampling experiment in the Central Gulf of Alaska,
1998. AFSC Processed report 99-04, Alaska Fisheries Science Center,
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Conners, M. E. 1999. Use of adaptive cluster sampling for fisheries
hydroacoustics. M.S. Thesis, Cornell University.

di Battista, T. 2002. Diversity index estimation by adaptive sampling.
Environmetrics 13:209-214.

Francis, R. I. C. C. 1984. An adaptive strategy for stratified random
trawl surveys. New Zealand Journal of Marine and Freshwater Research
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Folmer, O. and M. Pennington. 2000. A statistical evaluation of the
design and precision of the shrimp trawl survey off West Greenland.
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Hansen, M. M. and W. N. Hurwitz. 1943. On the theory of sampling from
finite populations. Annals of Mathematical Statistics 14:333-362.

Hanselman, D. H., T. J. Quinn II, J. Heifetz, D. Clausen, and C.
Lunsford. Spatial inferences from adaptive cluster sampling of Gulf of
Alaska rockfish. In G. H. Kruse, N. Bez, A. Booth, M. W. Dorn, S. Hills,
R. N. Lipcius, D. Pelletier, C. Roy, S. J. Smith, D. Witherells (eds)
Spatial Processes and Management of Marine Populations. Pages 303-325.
Lowell Wakefield Fisheries Symposium Series no. 17.

Horvitz, D. G. and D. J. Thompson. 1952. A generalization of sampling
without replacement from a finite universe. Journal of the American
Statistical Association 47:663-685.

Kalton, G. and D. W. Anderson. 1986. Sampling rare populations. Journal
of the Royal Statistical Society A 149:65-82.

Kremers, W.K. 1987. Adaptive sampling to account for unknown variability
among strata. No. 128. Reprints des Instituts fur Mathematik der
Universitat Augsburg.

Leecaster, M. K. and S. B. Weisberg. 2001. Effect of sampling frequency
on shoreline microbiology assessments. Marine Pollution Bulletin
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Lo, N., D. Griffith, and J. R. Hunter. 1997. Using restricted adaptive
cluster sampling to estimate Pacific hake larval abundance. CalCOFl Rep.
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Lo, N.C.H., J. R. Hunter, and R. Charter. In press. Use of a continuous
egg sampler for ichthyoplankton surveys: application to the estimation
of daily egg production of Pacific sardine (Sardinops szgax) off
California. Fish. Bull. 99:554-571.

McDonald, L. L., G. W. Garner, and D. G. Robertson. 1999. Comparison of
aerial survey procedures for estimating polar bear density: results of
pilot studies in northern Alaska. In G. W. Garner, S. C. Amstrup, J. L.
Laake, B. F. J. Manly, L. L. McDonald, and D. G. Robertson (eds.) Marine
Mammal Survey and Assessment Methods pp.37-52.

Munholland, P. L. and J. J. Borkowski. 1993. Adaptive Latin square
sampling +1 designs. Technical Report No. 3-23-93, Department of
Mathematical Sciences, Montana State University, Bozeman.

Muttlak, H. A. and A. Khan. 2002. Adjusted two-stage adaptive cluster
sampling. Environmental and Ecological Statistics 9:111-120.

Overton, W. S. and S. Stehman. 1995. The Horvitz-Thompson Theorem as a
unifying perspective for probability sampling: with examples from
natural resource sampling. The American Statistician 49:261-268.

Palka, D. and J. H. Pollard. 1999. Adaptive line transect survey for
harbor porpoises. In G. W. Garner, S. C. Amstrup, J. L. Laake, B. F. J.
Manly, L. L. McDonald, and D. G. Robertson (eds.) Marine Mammal Survey
and Assessment Methods pp. 3-12.

Pollard, J. H. and S. T. Buckland. 1996. A strategy for adaptive
smapling in shipboard line transect surveys. International Whaling
Commission: SC/48/015.

Pontius, J. A. 1997. Strip adaptive cluster sampling: Probability
proportional to size selection of primary units. Biometrics
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Pontius, J. and M. C. Christman. 1997. Bootstrap confidence intervals
from adaptive sampling of an insect population. Applied Statistics in
Agriculture; Proceedings of the 1997 Kansas State University conference
on Applied Statistics in Agriculture

Quinn, T. J. II, D. Hanselman, D. Clausen, C. Lunsford, J. Heifetz.
1999. Adaptive Cluster sampling of Rockfish populations. Proceeding s of
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Rao, C. R. 1945. Information and accuracy attainable in estimation of
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Ringvall, A., G. Stahl and T. Lamas. 1998. Guided transect sampling -- a
new design combining prior information and field surveying. The
proceedings of Integrated tools for natural resource inventories in the
21th century, in Biose 16-20 august, 1998.

Roesch, F. A., Jr. 1993. Adaptive cluster sampling for forest
inventories. Forest Science 39:655-669.

Salehi, M. M. 1999. Rao-Blackwell version of the Horvitz-Thompson and
Hansen-Hurwitz in adaptive cluster sampling. Environmental and
Ecological Statistics 6:183-195.

Salehi, M. M. and G. A. F. Seber. 1997a. Adaptive cluster sampling with
networks selected without replacement. Biometrika 84:209-219.

Salehi, M. M. and G. A. F. Seber. 1997b. Two-stage adaptive sampling.
Biometrics 53:959-970.

Salehi, M. M. and G. A. F. Seber. 2001. A new proof of Murthy's
estimator which applies to sequential sampling. Australian and New
Zealand Journal of Statistics 43:281-286.

Salehi, M. M. and G. A. F. Seber. 2002. Unbiased estimators for
restricted adaptive cluster sampling. Australian and New Zealand Journal
of Statistics 44:901-999.

Salehi, M. M. and Smith, D. R. (in review) Two-stage sequential sampling
design.

Schwarz, C. J. and G. A. F. Seber. 1999. Estimating animal abundance:
Review III. Statistical Science 14:427-456.

Seber, G. A. F. 2001. Some new directions in estimating animal
population parameters. Journal of Agricultural, Biological, and
Environmental Statistics 6:140-151.

Seber, G. A. F. and S. K. Thompson. 1994. Environmental adaptive
sampling. Pages 201-220, In G. P. Patil and C. R. Rao, (Eds.), Handbook
of Statistics vol. 12 (Environmental Sampling). North Holland/Elsevier
Science Publishers, New York.

Smith, D. R., M. J. Conroy, and D. H. Brakhage. 1995. Efficiency of
adaptive cluster sampling for estimating density of wintering waterfowl.
Biometrics 51:777-788.

Smith, D. R., R. F. Villella, and D. P. Lemarie. 2003. Application of
adaptive cluster sampling to low-density populations of freshwater
mussels. Environmental and Ecological Statistics 10(1):\_\_-\_\_.

Su, Z., and T. J. Quinn II. In press. Estimator bias and efficiency for
adaptive cluster sampling with order statistics and a stopping rule.
Environmental and ecological statistics -- a special issue on Adaptive
Sampling, Ed: S. Thompson.

Sudman, S., M. G. Sirken, and C. D. Cowan. 1988. Sampling rare and
elusive populations. Science 240:991-996.

Strayer, D. L. and Smith, D. R. 2003. A guide to sampling freshwater
mussel populations. American Fisheries Society Monograph (in press)

Thompson, S. K. 1990. Adaptive cluster sampling. Journal of the American
Statistical Association 85:1050-1059.

Thompson, S. K. 1991a. Adaptive cluster sampling: Designs with primary
and secondary units. Biometrics 47:1103-1115.

Thompson, S. K. 1991b. Stratified adaptive cluster sampling. Biometrika
78:389-397.

Thompson, S. K. 1992. Sampling. Wiley, New York.

Thompson, S. K. 1993. Multivariate aspects of adaptive cluster sampling.
Pages 561-572, In G. P. Patil and C. R. Rao (Eds.), Multivariate
Environmental Statistics. North Holland/Elsevier Science Publishers, New
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Thompson, S. K. 1994. Factors influencing the efficiency of adaptive
cluster sampling. Technical Report 94-0301, Center for Statistical
Ecology And Environmental Statistics, Pennsylvania State University,
University Park.

Thompson, S. K. 1996. Adaptive cluster sampling based on order
statistics. Environmentrics 7:

Thompson, S. K., F. L. Ramsey, and G. A. F. Seber. 1992. An adaptive
procedure for sampling animal populations. Biometrics 48:1195-1199.

Thompson, S. K. and G. A. F. Seber. 1994. Detectability in conventional
and adaptive sampling. Biometrics 50:712-724.

Thompson, S. K. and G. A. F. Seber. 1996. Adaptive sampling. Wiley, New
York.

Vasudevan, K., A. Kumar, and R. Chellam. 2001. Structure and composition
of rainforest floor amphibian communities in Kalakad-Mundanthurai Tiger
Reserve. Current Science 80:406-412.

Woodby, D. 1998. Adaptive cluster sampling: efficiency, fixed sample
sizes, and an application to red sea urchins (*Strongylocentrotus
franciscanus*) in southeast Alaska. Proceedings of the North Pacific
Symposium on Invertebrate Stock Assessment and Management. no. 125, pp.
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Zhang, N., Z. Zhu, and B. Hu. 2000. On two-stage adaptive cluster
sampling to assess pest density. Journal of Zhejiang University
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