Matches in SemOpenAlex for { <https://semopenalex.org/work/W70948400> ?p ?o ?g. }
Showing items 1 to 50 of
50
with 100 items per page.
- W70948400 abstract "Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics." @default.
- W70948400 created "2016-06-24" @default.
- W70948400 creator A5021063042 @default.
- W70948400 date "2008-07-01" @default.
- W70948400 modified "2023-10-18" @default.
- W70948400 title "Ecological Models and Data in R" @default.
- W70948400 doi "https://doi.org/10.1515/9781400840908" @default.
- W70948400 hasPublicationYear "2008" @default.
- W70948400 type Work @default.
- W70948400 sameAs 70948400 @default.
- W70948400 citedByCount "295" @default.
- W70948400 countsByYear W709484002012 @default.
- W70948400 countsByYear W709484002013 @default.
- W70948400 countsByYear W709484002014 @default.
- W70948400 countsByYear W709484002015 @default.
- W70948400 countsByYear W709484002016 @default.
- W70948400 countsByYear W709484002017 @default.
- W70948400 countsByYear W709484002018 @default.
- W70948400 countsByYear W709484002019 @default.
- W70948400 countsByYear W709484002020 @default.
- W70948400 countsByYear W709484002021 @default.
- W70948400 countsByYear W709484002022 @default.
- W70948400 countsByYear W709484002023 @default.
- W70948400 crossrefType "monograph" @default.
- W70948400 hasAuthorship W70948400A5021063042 @default.
- W70948400 hasBestOaLocation W709484002 @default.
- W70948400 hasConcept C18903297 @default.
- W70948400 hasConcept C205649164 @default.
- W70948400 hasConcept C86803240 @default.
- W70948400 hasConceptScore W70948400C18903297 @default.
- W70948400 hasConceptScore W70948400C205649164 @default.
- W70948400 hasConceptScore W70948400C86803240 @default.
- W70948400 hasLocation W709484001 @default.
- W70948400 hasLocation W709484002 @default.
- W70948400 hasOpenAccess W70948400 @default.
- W70948400 hasPrimaryLocation W709484001 @default.
- W70948400 hasRelatedWork W2332230734 @default.
- W70948400 hasRelatedWork W2341665333 @default.
- W70948400 hasRelatedWork W2587128858 @default.
- W70948400 hasRelatedWork W2590762987 @default.
- W70948400 hasRelatedWork W2748952813 @default.
- W70948400 hasRelatedWork W2899084033 @default.
- W70948400 hasRelatedWork W2917849976 @default.
- W70948400 hasRelatedWork W2940955696 @default.
- W70948400 hasRelatedWork W4231903995 @default.
- W70948400 hasRelatedWork W4246233833 @default.
- W70948400 isParatext "false" @default.
- W70948400 isRetracted "false" @default.
- W70948400 magId "70948400" @default.
- W70948400 workType "book" @default.