@ARTICLE{SouWea93,
  author = {Southwell, C. and Weaver, K.},
  title = {Evaluation of analytical procedures for density estimation from line
	transect data --- data grouping, data truncation and the unit of
	analysis},
  journal = {Wildlife Research},
  year = {1993},
  volume = {20},
  pages = {433--444},
  abstract = {Examined three aspects of line-transect analytical procedures: data
	grouping, data truncation and the use of individuals or clusters
	as the analytical unit. Bias and precision of density estimation
	in relation to various levels of these factors were assessed for
	four types of line-transect estimator (simple parametric, generalised
	parametric, non-parametric and quasi-strip) using line-transect survey
	data from macropod populations of known density. Bias was stable
	across all grouping levels tested for the simple parametric estimator,
	and stable across all but the coarsest grouping level for the generalized
	parametric and non-parametric estimators, but varied substantially
	across the range of levels tested for the quasi-strip estimator.
	Precision improved as the number of grouping levels increased for
	all estimators tested, but the extent of improvement varied between
	estimators, and for the estimator most affected, improvement was
	marginal beyond intermediate grouping levels. Density estimates were
	generally more accurate and precise when analysed in ungrouped form
	than in grouped form. Varying the analytical unit did not affect
	bias, but precision was significantly lower for cluster analysis
	than individual analysis for all estimators.},
  subdatabase = {distance}
}

{"_id":"XrWzQdKSpgX2FnwTF","bibbaseid":"southwell-weaver-evaluationofanalyticalproceduresfordensityestimationfromlinetransectdatadatagroupingdatatruncationandtheunitofanalysis-1993","authorIDs":[],"author_short":["Southwell, C.","Weaver, K."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Southwell"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Weaver"],"firstnames":["K."],"suffixes":[]}],"title":"Evaluation of analytical procedures for density estimation from line transect data — data grouping, data truncation and the unit of analysis","journal":"Wildlife Research","year":"1993","volume":"20","pages":"433–444","abstract":"Examined three aspects of line-transect analytical procedures: data grouping, data truncation and the use of individuals or clusters as the analytical unit. Bias and precision of density estimation in relation to various levels of these factors were assessed for four types of line-transect estimator (simple parametric, generalised parametric, non-parametric and quasi-strip) using line-transect survey data from macropod populations of known density. Bias was stable across all grouping levels tested for the simple parametric estimator, and stable across all but the coarsest grouping level for the generalized parametric and non-parametric estimators, but varied substantially across the range of levels tested for the quasi-strip estimator. Precision improved as the number of grouping levels increased for all estimators tested, but the extent of improvement varied between estimators, and for the estimator most affected, improvement was marginal beyond intermediate grouping levels. Density estimates were generally more accurate and precise when analysed in ungrouped form than in grouped form. Varying the analytical unit did not affect bias, but precision was significantly lower for cluster analysis than individual analysis for all estimators.","subdatabase":"distance","bibtex":"@ARTICLE{SouWea93,\r\n author = {Southwell, C. and Weaver, K.},\r\n title = {Evaluation of analytical procedures for density estimation from line\r\n\ttransect data --- data grouping, data truncation and the unit of\r\n\tanalysis},\r\n journal = {Wildlife Research},\r\n year = {1993},\r\n volume = {20},\r\n pages = {433--444},\r\n abstract = {Examined three aspects of line-transect analytical procedures: data\r\n\tgrouping, data truncation and the use of individuals or clusters\r\n\tas the analytical unit. Bias and precision of density estimation\r\n\tin relation to various levels of these factors were assessed for\r\n\tfour types of line-transect estimator (simple parametric, generalised\r\n\tparametric, non-parametric and quasi-strip) using line-transect survey\r\n\tdata from macropod populations of known density. Bias was stable\r\n\tacross all grouping levels tested for the simple parametric estimator,\r\n\tand stable across all but the coarsest grouping level for the generalized\r\n\tparametric and non-parametric estimators, but varied substantially\r\n\tacross the range of levels tested for the quasi-strip estimator.\r\n\tPrecision improved as the number of grouping levels increased for\r\n\tall estimators tested, but the extent of improvement varied between\r\n\testimators, and for the estimator most affected, improvement was\r\n\tmarginal beyond intermediate grouping levels. Density estimates were\r\n\tgenerally more accurate and precise when analysed in ungrouped form\r\n\tthan in grouped form. Varying the analytical unit did not affect\r\n\tbias, but precision was significantly lower for cluster analysis\r\n\tthan individual analysis for all estimators.},\r\n subdatabase = {distance}\r\n}\r\n\r\n","author_short":["Southwell, C.","Weaver, K."],"key":"SouWea93","id":"SouWea93","bibbaseid":"southwell-weaver-evaluationofanalyticalproceduresfordensityestimationfromlinetransectdatadatagroupingdatatruncationandtheunitofanalysis-1993","role":"author","urls":{},"downloads":0,"html":""},"bibtype":"article","biburl":"http://distancelive.xyz/MainBibFile.bib","creationDate":"2020-06-16T14:23:37.633Z","downloads":0,"keywords":[],"search_terms":["evaluation","analytical","procedures","density","estimation","line","transect","data","data","grouping","data","truncation","unit","analysis","southwell","weaver"],"title":"Evaluation of analytical procedures for density estimation from line transect data — data grouping, data truncation and the unit of analysis","year":1993,"dataSources":["RjvoQBP8rG4o3b4Wi"]}