Results 241 to 250 of about 22,911 (304)

Beta-Binomial Model for Count Data: An Application in Estimating Model-Based Oral Reading Fluency. [PDF]

Educ Psychol Meas
Qiao X, Kamata A, Kara Y, Potgieter C, Nese JFT.   +4 more
europepmc   +1 more source

Impact of a two-phase robotic-assisted and home-based training program on falls and fall risk in older adults: a multicenter randomized controlled trial. [PDF]

Trials
Kwag E, De Luca A, Marchesi G, Squeri V, Ramm P, Hochheim M, Wunderlich M, Zijlstra W, Morat T.   +8 more
europepmc   +1 more source

White Matter Hyperintensities and Neuropsychiatric Symptoms in Neurodegenerative Diseases. [PDF]

J Clin Neurol
Katakami S, Kanemoto H, Taomoto D, Satake Y, Suehiro T, Sato S, Yoshiyama K, Kashibayashi T, Takahashi R, Tagai K, Shinagawa S, Ishii K, Kazui H, Ikeda M.   +13 more
europepmc   +1 more source

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Overdispersion: Models and estimation

Computational Statistics and Data Analysis, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Hinde, Clarice G B Demetrio
exaly   +3 more sources

A Note on Wadley's Problem with Overdispersion

Applied Statistics, 1992
Summary: Wadley's problem results from quantal dose-response experiments when the basic distribution is Poisson, rather than binomial. We review approaches to the problem, with paricular reference to using GLIM and incorporating overdispersion. Two examples are provided, and the importance of estimating overdispersion from the fit of a saturated model ...
Morgan, B. J. T., Smith, D. M.
openaire   +3 more sources

Overdispersion In Marine Fish Parasites

Journal of Parasitology, 2012
A modification of Taylor's Power law was used to compare the degree of overdispersion in frequency distributions from 38 datasets of marine parasites, data that had originally been collected for fish stock discrimination. The results strongly indicate that the overriding factor contributing to overdispersion in these helminths and crustaceans is the ...
Lester, R. J. G.
openaire   +6 more sources

Testing Overdispersion in CUBE Models

Communications in Statistics - Simulation and Computation, 2014
A practical problem with large-scale survey data is the possible presence of overdispersion. It occurs when the data display more variability than is predicted by the variance–mean relationship. This article describes a probability distribution generated by a mixture of discrete random variables to capture uncertainty, feeling, and overdispersion ...
IANNARIO, MARIA
openaire   +4 more sources