The Log Likelihood Ratio Test (The G‐test)

Woolf, Barnet

doi:10.1111/j.1469-1809.1972.tb00293.x

Cited by 169 publications

(66 citation statements)

References 8 publications

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“…Two omnibus model comparisons of algorithm performance at transfer were calculated for each model, relative to subject accuracy: the Schwarz-Bayes Information Criterion ("SBIC" Kass and Wasserman, 1995) and the log-likelihood ratio ("G" Woolf, 1957). Betasort received the lowest (i.e.…”

Section: /23mentioning

confidence: 99%

Implicit value updating explains transitive inference performance: The betasort model

Jensen

Muñoz

Alkan

et al. 2015

Preprint

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Transitive inference (the ability to infer that "B > D" given that "B > C" and "C > D") is a widespread characteristic of serial learning, observed in dozens of species. Despite these robust behavioral effects, reinforcement learning models reliant on reward prediction error or associative strength routinely fail to perform these inferences. We propose an algorithm called betasort, inspired by cognitive processes, which performs transitive inference at low computational cost. This is accomplished by (1) representing stimulus positions along a unit span using beta distributions, (2) treating positive and negative feedback asymmetrically, and (3) updating the position of every stimulus during every trial, whether that stimulus was visible or not. Performance was compared for rhesus macaques, humans, the betasort algorithm, and Q-learning (an established RPE model). Of these, only Q-learning failed to respond above chance during critical test trials. Implications for cognitive/associative rivalries, as well as for the model-based/model-free dichotomy, are discussed.

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Section: /23mentioning

confidence: 99%

Implicit value updating explains transitive inference performance: The betasort model

Jensen

Muñoz

Alkan

et al. 2015

Preprint

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“…To investigate if there are differences in bat captures inside and outside PAs, we performed a G test (Woolf, 1957) for each species for testing the null hypothesis that these species are evenly distributed between conserved and degraded sites. Similarly, we also performed the same analysis grouping all captured bats from the frugivore and nectarivore guilds (based on Simmon and Voss's [1998] study).…”

Section: Data Analysis Diversity Patternsmentioning

confidence: 99%

The Response of Bats (Mammalia: Chiroptera) to Habitat Modification in a Neotropical Savannah

Oliveira

Camargo

Gager³

et al. 2017

Tropical Conservation Science

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The Brazilian savanna (Cerrado) is a biodiversity hotspot with high deforestation rates that lead to extensive habitat changes, especially around protected areas (PAs). In our study, we analyzed how bats are affected by habitat changes comparing assemblages inside and outside Cerrado PAs. We compared diversity patterns of bats in relation to species composition, number of captured bats, as well as body condition and reproductive condition in cerrado sensu stricto (s.s.) and gallery forests. From September 2007 to June 2008, we captured 495 bats belonging to 25 species, 4 families, and 6 foraging guilds. When comparing captured bats inside and outside PAs, we found different patterns for both habitats, but with no differences in species richness for both habitats in relation to habitat perturbation. In relation to the degree of preservation, bat assemblages tend to be dissimilar between cerrado s.s. and similar between gallery forests. Besides that, in cerrados s.s., bats are less captured, or negatively affected, by habitat disturbance outside PAs; while in gallery forests, they are positively affected. Likewise, some bat species in gallery forests present higher body condition and more reproductive individuals outside PAs. Finally, we suggest that the intense habitat change in cerrado s.s. does cause negative effects on bats, while the positive effects found in degraded gallery forests may be due to the higher resource availability derived mainly from pioneer plants. Therefore, the presence of both nectarivorous bats in cerrado s.s. and frugivorous bats in gallery forests can be considered good indicators for habitat disturbance.

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“…square of cellophane, a^-in.-square coverslip and filter paper. The tissue was squashed in a press delivering about 40 kg/cm2 (Beatty, 1957b Woolf (1957) and analysis of variance as outlined by Snedecor (1956 fig. 1.…”

Section: Cytological Methodsmentioning

confidence: 99%

Poikiloploidy Among Spermatogenic Cells of Mus Musculus

Fechheimer¹

1961

Reproduction

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The Log Likelihood Ratio Test (The G‐test)

Cited by 169 publications

References 8 publications

Implicit value updating explains transitive inference performance: The betasort model

Implicit value updating explains transitive inference performance: The betasort model

The Response of Bats (Mammalia: Chiroptera) to Habitat Modification in a Neotropical Savannah

Poikiloploidy Among Spermatogenic Cells of Mus Musculus

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