Results 61 to 70 of about 80,138 (166)

The Dirichet-Multinomial model for multivariate randomized response data and small samples [PDF]

, 2012
In survey sampling the randomized response (RR) technique can be used to obtain truthful answers to sensitive questions. Although the individual answers are masked due to the RR technique, individual (sensitive) response rates can be estimated when ...
Avetisyan, M., Fox, G.J.A.
core   +1 more source

Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives

ACM International Conference on Bioinformatics, Computational Biology and Biomedicine, 2019
\beginabstract The CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)/Cas9 gene-editing platform is simple, cost-effect, and robust, and it has allowed high-throughput pooled screen approaches to be accessible by any laboratory.
Hyun-hwan Jeong, Seon Young Kim, Maxime W. C. Rousseaux, H. Zoghbi, Zhandong Liu   +4 more
semanticscholar   +1 more source

Estudio de homogeneidad de la dispersión en diseño a una vía de clasificación para datos de proporciones y conteos Study of Homogeneity of the Dispersion in one way Classification Models with Proportions and Counts Data

Revista Colombiana de Estadística, 2009
En el modelamiento de datos donde se evidencia la presencia de sobredispersión, usualmente se asume que para todos los efectos de tratamiento el parámetro de sobredispersión es común.
MARIO ALFONSO MORALES, LUIS ALBERTO LÓPEZ   +1 more
doaj  

Expectation identity for the binomial distribution and its application in the calculations of high-order binomial moments

, 2019
For the exponential families normal, gamma, beta, Poisson, and negative binomial, there exists an expectation identity for each of the family. For the binomial family, we discover an expectation identity, which is useful in analytical calculations of its
Ying-Ying Zhang, Tengzhong Rong, Man-Man Li   +2 more
semanticscholar   +1 more source

Generalized Functional Additive Mixed Models

, 2016
We propose a comprehensive framework for additive regression models for non-Gaussian functional responses, allowing for multiple (partially) nested or crossed functional random effects with flexible correlation structures for, e.g., spatial, temporal, or
Gertheiss, Jan, Greven, Sonja, Scheipl, Fabian   +2 more
core   +1 more source

The value of generalized linear mixed models for data analysis in the plant sciences

Frontiers in Horticulture
Modern data analysis typically involves the fitting of a statistical model to data, which includes estimating the model parameters and their precision (standard errors) and testing hypotheses based on the parameter estimates.
Laurence V. Madden, Peter S. Ojiambo
doaj   +1 more source

Dual Lukacs regressions for non-commutative variables

, 2013
Dual Lukacs type characterizations of random variables in free probability are studied here. First, we develop a freeness property satisfied by Lukacs type transformations of free-Poisson and free-Binomial non-commutative variables which are free. Second,
Szpojankowski, Kamil, Wesolowski, Jacek
core   +1 more source

A note on empirical sample distribution of journal impact factors in major discipline groups [PDF]

What type of statistical distribution do the Journal Impact Factors follow? In the past, researchers have hypothesized various types of statistical distributions underlying the generation mechanism of journal impact factors. These are: lognormal, normal,
Mishra, SK
core   +1 more source

Scalable shared protection approach for mesh WDM-routed networks [PDF]

, 2004
The paper proposes an approach for calculating the protection pool size on each link in a mesh WDMrouted network. The protection pool evaluation is part of a shared protection scheme applied to a failure dependent scenario and based on aggregated ...
Harle, D.A., Touvet, Florence
core  

Prediction distribution of generalized geometric series distribution and its different forms [PDF]

, 2009
The prediction distribution of generalized geometric series distribution (GGSD) and of its truncated and size-biased forms is derived and studied under the non-informative and beta prior distributions.
Hassan, Anwar, Khan, Shahjahan
core   +1 more source