نتایج جستجو برای: multiple linear regression models
تعداد نتایج: 2130516 فیلتر نتایج به سال:
Predictive quantitative structure–activity relationship was performed on the novel 4-oxo-1,4-dihydroquinoline and 4-oxo-4H-pyrido[1,2-a]pyrimidine derivatives to explore relationship between the structure of synthesized compounds and their anti-HIV-1 activities. In this way, the suitable set of the molecular descriptors was calculated and the important descriptors using the variable selections ...
During the early stages of white fish, survival rate is a very effective parameter on future fry’s sustainability, especially when they are going to be released into the natural habitat for restocking. The aim of this study is to define relationships between morphological and functional traits and the survival rate of the European white fish fry (Coregonus lavaretus) when they were fed with di...
In this study, the remote sensing statistical approach was used to determine the global solar radiation from NOAA-AVHRR satellite data in southeast of Tehran. This approach is based on the linear correlation between a satellite derived cloud index and the atmospheric transmission measured by the clearness index on the ground. A multiple linear regression model was also used to convert the five ...
In multiple myeloma (a type of cancer) linear models (e.g. EMC92) can be used to estimate a patients’ prognosis. In case the model outcome exceeds a specific value t (i.e. a dichotomizing threshold) the subject is classified as highrisk. These linear models consist of a number of covariates, each contributing to the model outcome. In the case of EMC92 or UAMS70, these covariates are probe sets....
The problem of estimating the variance parameter robustly in a heteroscedatic linear model is considered. The situation where the variance is a function of the explanatory variables is treated. To estimate the variance robustly in this case, it is necessary to guard against the influence of outliers in the design as well as outliers in the response. By analogy with the homoscedastic regression ...
evaporation is one of the main parameters for the optimum operation of reservoirs, design of irrigation systems and scientific management of water resources. accurate estimation of the water evaporation level is crucial in any region especially in arid and semiarid regions. in this study, the feasibility of simulation of pan evaporation in maraghe station using the multiple regression models we...
Abstract In this work tow simple approaches have been introduced to predict heat of explosion of high energetic materials. experimental heat of explosion of 74 energetic compound were collected from articles and this dataset was separated randomly into two groups, training and prediction sets, respectively, which were used for generation and evaluation of suitable models. Multiple linear reg...
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