نتایج جستجو برای: statistical methods like multivariate regression
تعداد نتایج: 2864963 فیلتر نتایج به سال:
the purpose of this study was to determine the relationship between employees’ empowerment and organizational learning in physical education organization. the research used a descriptive correlation method. statistical population consisted of all employees in physical education organization (n=722) and based on cochran sampling method, 250 subjects were selected for the statistical sample. the ...
The purpose of this study is to assess the factors affecting membership satisfaction in Andimeshk, using the Cochran Formula with 260 people as sample size. Significant relationship between the variables for the statistical tests like Summer's D, Kendall, and Spearman and multivariate regression analysis and path analysis were mental health of family and social levels, and eliminating or cont...
The problem of sample size estimation is important in medical applications, especially in cases of expensive measurements of immune biomarkers. This paper describes the problem of logistic regression analysis with the sample size determination algorithms, namely the methods of univariate statistics, logistics regression, cross-validation and Bayesian inference. The authors, treating the regr...
Genetic diversity is the basis of breeding studies in many plant species and is one of the most important indicators for selecting parents. The aim of this experiment was to investigate the genetic diversity of tall fescue (Festuca arundinacea) using agronomic traits such as plant height, spring growth score, days to flowering, days to pollination, flag leaf length and width, panicle length, we...
Soybean is the promising oilseed in the face of protein and oil shortage. In this study 16 advanced soybean genotypes, in terms of seed yield and yield components were evaluated using multivariate statistical methods. This experiment was carried out in the form of randomized complete block design (RCBD) in the research farm of Ardabil Agricultural and Natural Resources Research Center (Moghan...
In this work, we consider a multivariate regression model with one-sided errors. We assume for the function to lie in general Hölder class and estimate it via nonparametric local polynomial approach that consists of minimization integral approximation lying above data points. While consideration covariates offers an undeniable opportunity from application-oriented standpoint, requires new metho...
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