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Multistate mark-recapture model selection using score tests.

• Authors : McCrea RS; National Centre for Statistical Ecology, School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury CT2 7NF, UK. ; Morgan BJ

Subjects: Algorithms* ; Animal Migration* ; Censuses*

• Source: Biometrics [Biometrics] 2011 Mar; Vol. 67 (1), pp. 234-41.Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print Cited Medium:

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Describing size-related mortality and size distribution by nonparametric estimation and model selection using the Akaike Bayesian Information Criterion.

• Authors : Shimatani, Kenichiro¹ ; Kawarasaki, Satoko²; Manabe, Tohru³

• Source: Ecological Research. Mar2008, Vol. 23 Issue 2, p289-297. 9p. 1 Graph.

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Inferred parameters of the Logistic M1 model with combined error.

• Authors : Amirmahdi Mostofinejad; David A. Romero; Dana Brinson

Subjects: Cell Biology; Ecology; Developmental Biology

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Model parameters for model-based experimental design of iPSC differentiation.

• Authors : Amirmahdi Mostofinejad; David A. Romero; Dana Brinson

Subjects: Cell Biology; Ecology; Developmental Biology

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Supplemental Table S4. Model selection results for survival differences between territorial and non-territorial Steller sea lion males in southeastern Alaska (2007–15) using the multi-state model. from Survival of adult Steller sea lions in Alaska: senescence, annual variation and covariation with male reproductive success.

• Authors : Kelly K. Hastings; Lauri A. Jemison; Grey W. Pendleton

Subjects: Ecology; population dynamics; demography

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Supplemental Table S2. Model selection results for estimating age-specific survival of Steller sea lions in southeastern Alaska to 21 yrs of age (A), with assessment of statistical evidence of senescence (B) and annual variation (C) in adult survival, using the Cormack-Jolly-Seber model. from Survival of adult Steller sea lions in Alaska: senescence, annual variation and covariation with male reproductive success.

• Authors : Kelly K. Hastings; Lauri A. Jemison; Grey W. Pendleton

Subjects: Ecology; population dynamics; demography

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The Dynamic Shift Detector: An algorithm to identify changes in parameter values governing populations.

• Authors : Bahlai CA; Department of Biological Sciences and Environmental Science and Design Research Initiative, Kent State University, Kent, Ohio, United States of America.; Zipkin EF

Subjects: Algorithms* ; Models, Biological* ; Population Dynamics*

• Source: PLoS computational biology [PLoS Comput Biol] 2020 Jan 15; Vol. 16 (1), pp. e1007542. Date of Electronic Publication: 2020 Jan 15 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection

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Model comparison based on LOCS.

• Authors : Amirmahdi Mostofinejad; David A. Romero; Dana Brinson

Subjects: Cell Biology; Ecology; Developmental Biology

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Model comparison based on LOCS on training data.

• Authors : Amirmahdi Mostofinejad; David A. Romero; Dana Brinson

Subjects: Cell Biology; Ecology; Developmental Biology

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The Effect of Novel Research Activities on Long-term Survival of Temporarily Captive Steller Sea Lions (Eumetopias jubatus).

• Authors : Shuert C; School of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, AK, 99775, United States of America.; Alaska SeaLife Center, 301 Railway Ave, Seward, AK, 99664, United States of America.

Subjects: Population Dynamics* ; Telemetry*; Sea Lions/Sea Lions/Sea Lions/*physiology

• Source: PloS one [PLoS One] 2015 Nov 18; Vol. 10 (11), pp. e0141948. Date of Electronic Publication: 2015 Nov 18 (Print Publication: 2015).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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