This research aims to create the most efficient and accurate cab fare prediction system using two machine learning algorithms, Multiple linear Regression algorithm random forest algorithm, compare parameters r-square, Mean Square Error (MSE), Root MSE, RMSLE values evaluate efficiency of algorithm. Considering as group 1 algorithms implemented, 2 process was predict prices get best accuracy alg...

objective: the main objective of this research was estimation of genetic parameters for five consecutive measurements of egg weights in isfahan fowl using multi trait model and random regression models. methods: the statistical models included generation-hatch as a fixed effect, weeks of age as a covariate and additive genetic and individual permanent environmental effects as random effects. th...

random regression models (rrm) have become common for the analysis of longitudinal data or repeated records on individual over time. the goal of this paper was to explore the use of random regression models with orthogonal / legendre polynomials (rrl) to analyze new repeated measures called clutch size (cs) as a meristic trait for iranian native fowl. legendre polynomial functions of increasing...

in many statistical systems, a type of survey called “sampling over time” is common, which repeats continuously over time. one method of sampling over time is panel survey. panel survey is a method in which a “fixed sample” is contacted during different waves. the most important challenge in a panel survey is debility in providing response from some sample units and having non-response that usu...

Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, Canada Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Purvis Hall, 1020 Avenue des Pins Ouest, Montreal QC, Canada H3A 1A2 Institute of Social and Preventive Medicine (IUMSP), University Hospital Centre and University of Lausanne, Lausanne, Switzerland Correspondence to: J ...