Results 121 to 130 of about 56,744 (172)

Validation of phenology models for Halyomorpha halys (Hemiptera: Pentatomidae) using field data from climatically different ecoregions. [PDF]

Environ Entomol
Ogburn EC, Schoof SC, Reisig DD, Kennedy GG, Walgenbach JF.   +4 more
europepmc   +1 more source

Harmonization of IgG antibody values against the SARS-CoV-2 Spike protein. [PDF]

Sci Rep
Saraiva AL, Afreixo V, Amaral P, Viana JF, Antunes I, Paiva A, Gonçalves LA, Araújo L, Machado A, Gaio V.   +9 more
europepmc   +1 more source

Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly-Robust and Traditional Missing Data Methods. [PDF]

Stat Med
Williamson BD, Krakauer C, Johnson E, Gruber S, Shepherd BE, van der Laan MJ, Lumley T, Lee H, Hernández-Muñoz JJ, Zhao F, Dutcher SK, Desai R, Simon GE, Shortreed SM, Nelson JC, Shaw PA.   +15 more
europepmc   +1 more source

Seasonality, Moisture, and Host Community Structure of Haemaphysalis Ticks in a Subtropical Urban Mosaic in Hong Kong, China. [PDF]

Ecol Evol
Seymour M, Wong K.
europepmc   +1 more source

Forecasting place-to-place migration with generalized linear models (GLM): an application to urbanization in the Netherlands.

, 1983
Willekens, F.J., N. Baydar, [No Value]
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Generalized Linear Models (GLM)

2021
Abstract Chapter 7 introduces one of the most useful statistical frameworks for the modern life scientist: the generalized linear model (GLM). GLMs extend the linear model to an array of non-normally distributed data such as Poisson, negative binomial, binomial, and Gamma distributed data. These models dramatically improve the breadth of
openaire   +1 more source

GLM+: An Efficient System for Generalized Linear Models

2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018
Generalized linear models are widely used in data analysis and machine learning, especially in large-scale machine learning because of its simplicity and good performance. Generalized linear models include regression, like linear regression, lasso and classification, support vector machine and logistic regression.
Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui   +4 more
openaire   +1 more source

Generalized Linear Models (GLMs)

2019
Generalized Linear Models are widely known under their famous acronym GLMs. Today, GLMs are recognized as an industry standard for pricing personal lines and small commercial lines of insurance business. This chapter reviews the GLM methodology with a special emphasis to insurance problems.
Michel Denuit, Donatien Hainaut, Julien Trufin   +2 more
openaire   +1 more source

Using Generalized Linear Models (GLMs) to Model Errors in Motor Performance

Journal of Motor Behavior, 1991
Because of differences in design factors, experiments in human motor performance sometimes produce a wide range in variability or consistency in a subject's individual errors. These differences in variation often lead to heterogeneity in the variance-covariance matrices between group factors, which prohibits the use of repeated-measures (RM) ANOVA or ...
A M, Nevill, J B, Copas
openaire   +2 more sources