Matches in SemOpenAlex for { <https://semopenalex.org/work/W1923610446> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W1923610446 endingPage "396" @default.
- W1923610446 startingPage "390" @default.
- W1923610446 abstract "An iterative approach was achieved for fitting piecewise linear functions to nonrectilinear responses of biological variables. This algorithm is used to estimate the parameters of the two (or more) regression functions and the separation point(s) (thresholds, sensitivities) by statistical approximation. Although it is often unknown whether the response of a biological variable is adequately described by one rectilinear regression function or by piecewise linear regression function(s) with separation point(s), an F test is proposed to determine whether one regression line is the optimal fitted function. A FORTRAN-77 program has been developed for estimating the optimal parameters and the coordinates of the separation point(s). A few sets of data illustrating this kind of problem in the analysis of thermoregulation, osmoregulation, and the neuronal responses are discussed." @default.
- W1923610446 created "2016-06-24" @default.
- W1923610446 creator A5031246677 @default.
- W1923610446 date "1989-07-01" @default.
- W1923610446 modified "2023-10-16" @default.
- W1923610446 title "Fitting piecewise linear regression functions to biological responses" @default.
- W1923610446 doi "https://doi.org/10.1152/jappl.1989.67.1.390" @default.
- W1923610446 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/2759968" @default.
- W1923610446 hasPublicationYear "1989" @default.
- W1923610446 type Work @default.
- W1923610446 sameAs 1923610446 @default.
- W1923610446 citedByCount "162" @default.
- W1923610446 countsByYear W19236104462012 @default.
- W1923610446 countsByYear W19236104462013 @default.
- W1923610446 countsByYear W19236104462014 @default.
- W1923610446 countsByYear W19236104462015 @default.
- W1923610446 countsByYear W19236104462016 @default.
- W1923610446 countsByYear W19236104462017 @default.
- W1923610446 countsByYear W19236104462018 @default.
- W1923610446 countsByYear W19236104462019 @default.
- W1923610446 countsByYear W19236104462020 @default.
- W1923610446 countsByYear W19236104462021 @default.
- W1923610446 countsByYear W19236104462022 @default.
- W1923610446 countsByYear W19236104462023 @default.
- W1923610446 crossrefType "journal-article" @default.
- W1923610446 hasAuthorship W1923610446A5031246677 @default.
- W1923610446 hasConcept C105795698 @default.
- W1923610446 hasConcept C120068334 @default.
- W1923610446 hasConcept C134306372 @default.
- W1923610446 hasConcept C14036430 @default.
- W1923610446 hasConcept C152877465 @default.
- W1923610446 hasConcept C164660894 @default.
- W1923610446 hasConcept C17095337 @default.
- W1923610446 hasConcept C28826006 @default.
- W1923610446 hasConcept C32224588 @default.
- W1923610446 hasConcept C33923547 @default.
- W1923610446 hasConcept C35519122 @default.
- W1923610446 hasConcept C48921125 @default.
- W1923610446 hasConcept C78458016 @default.
- W1923610446 hasConcept C83546350 @default.
- W1923610446 hasConcept C86803240 @default.
- W1923610446 hasConceptScore W1923610446C105795698 @default.
- W1923610446 hasConceptScore W1923610446C120068334 @default.
- W1923610446 hasConceptScore W1923610446C134306372 @default.
- W1923610446 hasConceptScore W1923610446C14036430 @default.
- W1923610446 hasConceptScore W1923610446C152877465 @default.
- W1923610446 hasConceptScore W1923610446C164660894 @default.
- W1923610446 hasConceptScore W1923610446C17095337 @default.
- W1923610446 hasConceptScore W1923610446C28826006 @default.
- W1923610446 hasConceptScore W1923610446C32224588 @default.
- W1923610446 hasConceptScore W1923610446C33923547 @default.
- W1923610446 hasConceptScore W1923610446C35519122 @default.
- W1923610446 hasConceptScore W1923610446C48921125 @default.
- W1923610446 hasConceptScore W1923610446C78458016 @default.
- W1923610446 hasConceptScore W1923610446C83546350 @default.
- W1923610446 hasConceptScore W1923610446C86803240 @default.
- W1923610446 hasIssue "1" @default.
- W1923610446 hasLocation W19236104461 @default.
- W1923610446 hasLocation W19236104462 @default.
- W1923610446 hasOpenAccess W1923610446 @default.
- W1923610446 hasPrimaryLocation W19236104461 @default.
- W1923610446 hasRelatedWork W1523442101 @default.
- W1923610446 hasRelatedWork W1685088304 @default.
- W1923610446 hasRelatedWork W2055707752 @default.
- W1923610446 hasRelatedWork W2066533688 @default.
- W1923610446 hasRelatedWork W3021785231 @default.
- W1923610446 hasRelatedWork W4238233914 @default.
- W1923610446 hasRelatedWork W4249387689 @default.
- W1923610446 hasRelatedWork W600390644 @default.
- W1923610446 hasRelatedWork W623416330 @default.
- W1923610446 hasRelatedWork W2743208879 @default.
- W1923610446 hasVolume "67" @default.
- W1923610446 isParatext "false" @default.
- W1923610446 isRetracted "false" @default.
- W1923610446 magId "1923610446" @default.
- W1923610446 workType "article" @default.