Showing 41 - 60 results of 300 for search 'binomial sample', query time: 0.07s Refine Results
  1. 41

    Modelling route choice of Dutch cyclists using smartphone data by Silvia Bernardi, Lissy La Paix-Puello, Karst Geurs

    Published 2018-10-01
    “…The estimated probabilities for both multinomial and binomial models show that the binomial model tends to overestimate the probabilities of choosing the shortest route. …”
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    Article
  2. 42

    Excessive daytime sleepiness in Campo Grande general population, Brazil Sonolência diurna excessiva na população geral de Campo Grande, MS by José Carlos Souza, Luiz Alberto Magna, Rubens Reimão

    Published 2002-09-01
    “…The prevalence of excessive daytime sleepiness (EDS) in general population was determined by means of 408 home interviews of adults, in a representative sample of Campo Grande city, Brazil. The random sample was stratified by sex, age and economic social status. …”
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  3. 43
  4. 44

    Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

    Published 2024-12-01
    “…We compare the probabilistic calibration of empirical skew-normal prediction intervals with conventional parametric prediction intervals from a negative-binomial GAM in an out-of-sample setting. Further, we use the empirical prediction intervals to quantify the probability of detecting 10% excess deaths in a given week, given pre-pandemic mortality trends. …”
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  5. 45

    The effects of winter recreation on alpine and subalpine fauna: a systematic review and meta-analysis. by Chloe F Sato, Jeff T Wood, David B Lindenmayer

    Published 2013-01-01
    “…We reviewed the available literature from the last 35 years to quantify the reported effects of winter recreation on faunal communities. Overall, using one-sample binomial tests ('sign tests') we found that the effects of all types of winter recreation-related disturbances (i.e. ski runs, resort infrastructure and winter tourism) were more likely to be negative or have no effect, than be positive for wildlife. …”
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  6. 46

    Maximum-likelihood estimation of the Po-MDDRCINAR(p) model with analysis of a COVID-19 data by Xiufang Liu, Jianlong Peng, Dehui Wang, Huaping Chen

    Published 2024-11-01
    “…A pth-order mixed dependence-driven random coefficient integer-valued autoregressive time series model (Po-MDDRCINAR(p)) in view of binomial and negative binomial operators, where the innovation sequence follows a Poisson distribution, is investigated to provide meaningful theoretical explanations. …”
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  7. 47

    New Randomized Response Procedures by Z. Z. Hussain

    Published 2012-12-01
    “…The cases of positive binomial and negative binomial sampling are also studied. …”
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  8. 48

    Risk of physical health comorbidities in autistic adults: clinical nested cross-sectional study by Megan Hunt, Jack F. G. Underwood, Leon Hubbard, Jeremy Hall

    Published 2024-11-01
    “…Method We undertook a nested cross-sectional study, using a sample from the National Centre for Mental Health database. …”
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  9. 49

    The professional performance in the nursing prenatal assistance by Escolástica Rejane Ferreira Moura, Maria do Socorro Pereira Rodrigues

    Published 2002-02-01
    “…Data were collected, in 1999, in the June (04 municipal districts) and 2000, in February (04 municipal districts). The sample was constituted of eight nurses (01 from each municipal district) and twenty-four consultations were observed. …”
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  10. 50

    Predicting Injury in Collegiate Baseball and Softball Athletes Using Functional Testing: A Pilot Study by Alyse M. DePaola, Andrew R. Moore, Graeme J. Connolly, A. Maleah Holland-Winkler

    Published 2025-04-01
    “…The purpose of this pilot study was to use binomial logistic regression to identify injury-prone athletes with multiple pre-season functional measures and demographic information. …”
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  11. 51

    Detecting implicit biases of large language models with Bayesian hypothesis testing by Shijing Si, Xiaoming Jiang, Qinliang Su, Lawrence Carin

    Published 2025-04-01
    “…Extensive experiments are conducted on prominent models, including ChatGPT (GPT-3.5-Turbo), DeepSeek-V3, and Llama-3.1-70B, utilizing publicly available datasets such as BBQ, CrowS-Pairs (in both English and French), and Winogender. While the exact Binomial test fails to distinguish between no evidence of bias and evidence of no bias, our results underscore the advantages of Bayes factors, particularly their capacity to quantify evidence for both competing hypotheses and their robustness to small sample size. …”
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  12. 52

    Model selection for wild turkey hunter success rates using small‐area estimation methods by Steven L. Sheriff, Dongchu Sun, Zhuoqiong He, Larry D. Vangilder, Jason L. Isabelle

    Published 2018-12-01
    “…However, at finer spatial resolutions, such as at the county level, sample sizes are often small, making estimates either impossible to calculate or unreliable using traditional statistical procedures. …”
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  13. 53

    Insomnia and hypnotic use in Campo Grande general population, Brazil by Souza José Carlos, Magna Luiz Alberto, Reimão Rubens

    Published 2002-01-01
    “…The insomnia prevalence in general population was determined by means of 408 home interviews of adults, in a representative sample of Campo Grande city, Brazil. The random sample was stratified by sex, age and economic social status. …”
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    Article
  14. 54

    Illegalisms and discipline in a Brazilian prison by Andre Ribeiro Giamberardino

    Published 2025-07-01
    “…The article summarizes research with an empirical sample of all cases of severe disciplinary misconduct for possessing a cell phone in a prison of Curitiba in 2017. …”
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  15. 55

    Preventive Practices within the Window of Dental Infectivity by breastfeeding mothers, patients of Angel Larralde University Hospital, in Carabobo, Venezuela by Patricia Catarí, Gloriana Portocarrero, Federico Ojeda, Ingrid Hoffmann

    Published 2019-07-01
    “…Purpose: The objective of the research is to identify, through health education, the level of knowledge of mothers regarding the window of oral infectivity in the mother-child binomial and preventive practices. Materials and Methods: The sample was taken during the obstetrics consultation of the Ángel Larralde University Hospital, Carabobo state, in the period September-December of the year 2017. …”
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  16. 56
  17. 57

    Evaluating the effect of computer-based education on pharmacist behaviour regarding point-of-care testing by Rand Hussein, Nardine Nakhla, Kyu Min Shim, Joslin Goh, Rosemary Killeen, Kelly Grindrod

    Published 2025-06-01
    “…Knowledge gain was analyzed using repeated measure ANOVA and binomial regression. TPB constructs were analyzed within groups using paired sample t-tests and between groups using two-sample ttests. …”
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  18. 58

    Performance of five dynamic models in predicting tuberculosis incidence in three prisons in Thailand. by Nithinan Mahawan, Thanapoom Rattananupong, Puchong Sri-Uam, Wiroj Jiamjarasrangsi

    Published 2025-01-01
    “…The performance of the dynamic models was assessed by a four-step standard assessment procedure (including model specification tests, in-sample model fitting, internal validation, and external validation) based on the Negative Binomial Regression model. …”
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  19. 59

    Statistical model for assessing the reliability of non-destructive testing systems by solving inverse problems by A. E. Alexandrov, S. P. Borisov, L. V. Bunina, S. S. Bikovsky, I. V. Stepanova, A. P. Titov

    Published 2023-06-01
    “…This work aimes to develop a mathematical model of a diagnostic system for assessing the probability of detection of defects by solving inverse problems.Methods. A binomial model for assessing the reliability of monitoring, comprising the Berens-Hovey parametric model of the probability of detection of defects and a parametric model based on studying test samples, was analyzed. …”
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  20. 60

    Self -reported bruxism in patients undergoing Orthodontic treatment – a cross-sectional study by Munnal Gulzar, Mubassar Fida, Rashna Hoshang Sukhia

    Published 2024-12-01
    “…The median age of the sample was 19.8 (17.7, 24.3) years and 60% of them were women. …”
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