Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023728434> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2023728434 endingPage "324" @default.
- W2023728434 startingPage "299" @default.
- W2023728434 abstract "The problem of observation error in assessing the dynamics of populations over time has received increasing attention of late. Of particular interest has been a density‐independent dynamic model, which allows a trend and is commonly employed in population viability analysis (PVA). Most of the recent work in this area has focused on assessing the impact of the observation error and on finding corrected estimators, primarily under normal models with the observation errors assumed to have a constant variance. This paper provides a comprehensive overview of statistical methods for this problem and evaluates them through simulations. This includes the development and assessment of simple and practical ways to obtain standard errors and confidence intervals for the basic parameters in the model and functions of them, such as the intrinsic rate of increase or the probability of eventual extinction. We allow for unequally spaced data and possibly changing observation error variances, and we also discuss how to employ standard errors that often accompany the estimated abundances. Both likelihood techniques under normality and methods allowing non‐normal observation errors are discussed, and we describe how the various likelihood‐based techniques can be implement using standard mixed‐model software, such as PROC MIXED in SAS. The projection technique we use to handle functions of the basic parameters is also valuable when there is no observation error. The methods are motivated and illustrated using data for grizzly bears, Whooping Cranes, California Condors, and Puerto Rican Parrots. We present a simulation experiment to evaluate the performance of the some of the methods." @default.
- W2023728434 created "2016-06-24" @default.
- W2023728434 creator A5047217922 @default.
- W2023728434 creator A5061078158 @default.
- W2023728434 date "2009-05-01" @default.
- W2023728434 modified "2023-10-15" @default.
- W2023728434 title "Statistical methods to correct for observation error in a density-independent population model" @default.
- W2023728434 cites W1536497620 @default.
- W2023728434 cites W1966639402 @default.
- W2023728434 cites W1972122509 @default.
- W2023728434 cites W1990233334 @default.
- W2023728434 cites W2000032310 @default.
- W2023728434 cites W2001746283 @default.
- W2023728434 cites W2005553699 @default.
- W2023728434 cites W2011683958 @default.
- W2023728434 cites W2042627195 @default.
- W2023728434 cites W2044763292 @default.
- W2023728434 cites W2071578640 @default.
- W2023728434 cites W2099142958 @default.
- W2023728434 cites W2099538683 @default.
- W2023728434 cites W2101585614 @default.
- W2023728434 cites W2107858042 @default.
- W2023728434 cites W2114084375 @default.
- W2023728434 cites W2126728600 @default.
- W2023728434 cites W2129119812 @default.
- W2023728434 cites W2139105412 @default.
- W2023728434 cites W2148718972 @default.
- W2023728434 cites W2158849471 @default.
- W2023728434 cites W2167726825 @default.
- W2023728434 cites W3106889297 @default.
- W2023728434 cites W4206653471 @default.
- W2023728434 cites W4236702380 @default.
- W2023728434 cites W4302338619 @default.
- W2023728434 doi "https://doi.org/10.1890/07-1299.1" @default.
- W2023728434 hasPublicationYear "2009" @default.
- W2023728434 type Work @default.
- W2023728434 sameAs 2023728434 @default.
- W2023728434 citedByCount "12" @default.
- W2023728434 countsByYear W20237284342012 @default.
- W2023728434 countsByYear W20237284342013 @default.
- W2023728434 countsByYear W20237284342022 @default.
- W2023728434 crossrefType "journal-article" @default.
- W2023728434 hasAuthorship W2023728434A5047217922 @default.
- W2023728434 hasAuthorship W2023728434A5061078158 @default.
- W2023728434 hasBestOaLocation W20237284342 @default.
- W2023728434 hasConcept C105795698 @default.
- W2023728434 hasConcept C114289077 @default.
- W2023728434 hasConcept C121955636 @default.
- W2023728434 hasConcept C144024400 @default.
- W2023728434 hasConcept C144133560 @default.
- W2023728434 hasConcept C149782125 @default.
- W2023728434 hasConcept C149923435 @default.
- W2023728434 hasConcept C185429906 @default.
- W2023728434 hasConcept C18747219 @default.
- W2023728434 hasConcept C196083921 @default.
- W2023728434 hasConcept C2776157432 @default.
- W2023728434 hasConcept C2908647359 @default.
- W2023728434 hasConcept C33923547 @default.
- W2023728434 hasConcept C41008148 @default.
- W2023728434 hasConceptScore W2023728434C105795698 @default.
- W2023728434 hasConceptScore W2023728434C114289077 @default.
- W2023728434 hasConceptScore W2023728434C121955636 @default.
- W2023728434 hasConceptScore W2023728434C144024400 @default.
- W2023728434 hasConceptScore W2023728434C144133560 @default.
- W2023728434 hasConceptScore W2023728434C149782125 @default.
- W2023728434 hasConceptScore W2023728434C149923435 @default.
- W2023728434 hasConceptScore W2023728434C185429906 @default.
- W2023728434 hasConceptScore W2023728434C18747219 @default.
- W2023728434 hasConceptScore W2023728434C196083921 @default.
- W2023728434 hasConceptScore W2023728434C2776157432 @default.
- W2023728434 hasConceptScore W2023728434C2908647359 @default.
- W2023728434 hasConceptScore W2023728434C33923547 @default.
- W2023728434 hasConceptScore W2023728434C41008148 @default.
- W2023728434 hasIssue "2" @default.
- W2023728434 hasLocation W20237284341 @default.
- W2023728434 hasLocation W20237284342 @default.
- W2023728434 hasLocation W20237284343 @default.
- W2023728434 hasOpenAccess W2023728434 @default.
- W2023728434 hasPrimaryLocation W20237284341 @default.
- W2023728434 hasRelatedWork W1544940847 @default.
- W2023728434 hasRelatedWork W1983888759 @default.
- W2023728434 hasRelatedWork W1996377436 @default.
- W2023728434 hasRelatedWork W1999239650 @default.
- W2023728434 hasRelatedWork W2040447909 @default.
- W2023728434 hasRelatedWork W2169275958 @default.
- W2023728434 hasRelatedWork W2289285490 @default.
- W2023728434 hasRelatedWork W2405714784 @default.
- W2023728434 hasRelatedWork W2950038056 @default.
- W2023728434 hasRelatedWork W4321650139 @default.
- W2023728434 hasVolume "79" @default.
- W2023728434 isParatext "false" @default.
- W2023728434 isRetracted "false" @default.
- W2023728434 magId "2023728434" @default.
- W2023728434 workType "article" @default.