نتایج جستجو برای: environmental conditions covariates
تعداد نتایج: 1173840 فیلتر نتایج به سال:
چکیده ندارد.
Background and Aim: In many medical studies along with longitudinal data, which are repeatedly measured during a certain time period, survival data are also recorded. In these situations, using models such as, mixed effects models or GEE method for longitudinal data and Cox model for survival data, are not appropriate because some necessary assumptions are not met. Instead, the joint models hav...
Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the implication for tropical forest height variation mapping. Making use of high-resolution maps of LiDAR-derived Digital Canopy Model (DCM) and environment...
Abstract Multivariate regression models and ANOVA are probably the most frequently applied methods of all statistical analyses. We study case where predictors qualitative variables response variable is quantitative. In this case, we propose an alternative to classic approaches that does not assume homoscedasticity but assumes a Markov chain can describe covariates’ correlations. This approach t...
one of the most important factors in study of project’s , is the study of environmental opportunities factors the permanent study of environmental opportunity factors . the study of permanent environmental changing and knowing golden threats’ cooperate with possible threats and at the result in structure forming and future skeleton of organization has a vital effects . the petrochemical industr...
the aim of the study was to evaluate the effect of storage and temperature on egg physical quality in hyline chickens line. a total of 150 eggs from college of natural resources farm were sampled for the present experiment. about 70 eggs each were stored in home refrigerator (temperature, 7.46±0.23 ˚c; relative humidity, 24.80±0.05%) and room temperature (temperature, 22.98±1.12 ˚c; relative hu...
We present the FuSSO, a functional analogue to the LASSO, that efficiently finds a sparse set of functional input covariates to regress a real-valued response against. The FuSSO does so in a semi-parametric fashion, making no parametric assumptions about the nature of input functional covariates and assuming a linear form to the mapping of functional covariates to the response. We provide a sta...
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