نتایج جستجو برای: the explanatory variable
تعداد نتایج: 16079125 فیلتر نتایج به سال:
iranian female participation rate in the labor market of iran in the recent decade shows a increasing trend which amounted from 8% in 1999 to 18% in 2005.using parametric and non-parametric econometrics methods, in this research we aim to study the behavior of individual married females labor participation. our dataset consist of the annually budget survey of 2006 which is reported by statistic...
There are a lot of techniques and methods for prediction of bankruptcy among them “Statistical methods” or econometrics techniques are more popular. As dependent variable in our study is qualitative it is convenient to use qualitative discrete models. Mixed Logit model is one of the powerful and flexible techniques of discrete choices that allow the coefficients to be random with distribution f...
The graphical tools (see Section 4) showed that the logarithmic transformation applied to both the response (concentration ratio) and the explanatory variable sacrifice time makes the relationship between the two variables approximately linear. In this section we will examine the relationship between the logarithm of concentration ratio (LNRATIO) and the eight explanatory variables with the fol...
Probit residuals need not sum to zero in general. However, if explanatory variables are qualitative the sum can be shown to be zero for many models. Indeed this remains true for binary dependent variable models other than Probit and Logit. Even if some explanatory variables are quantitative, residuals can sum to almost zero more often than might at first seem plausible.
This article deals with the univariate calibration problem where calibration data come from several independent sources. Such a situation arises when measurements are made using different instruments or methods, or at diierent laboratories. It is assumed that the response variable at each source is normally distributed and the relationship between the response variable and the explanatory varia...
These data are from a controlled experiment in which two quantitative variables were manipulated, to determine their effects on the quantitative response variable. Both explanatory variables therefore are of direct interest; there are no supplemental variables and there is no need for reduction of variables. The study used a balanced factorial randomized design. Three levels of one explanatory ...
Once a regression has been fitted to data, it is usually necessary to add confidence intervals to indicate the accuracy of the fitted regression line. This can easily be done for individual explanatory variable values. However sometimes confidence limits are needed simultaneously for the whole range of explanatory variable values of interest. In other words the problem is to construct a confide...
Bayes-N is an algorithm for Bayesian network learning from data based on local measures of information gain, applied to problems in which there is a given dependent or class variable and a set of independent or explanatory variables from which we want to predict the class variable on new cases. Given this setting, Bayes-N induces an ancestral ordering of all the variables generating a directed ...
salmonella is still one of the most important pathogens related with foodborne outbreaks.this study was designed to examine the combined effects of different levels of ph (7.4, 6.4, and 5.4), acids (acetic, citric and hydrochloric acid), temperatures (35 °c and 25 °c), and nacl concentrations (0.5, 3 and 6%, w/v), on growth of salmonella typhimurium in brain heart infusion broth. the experiment...
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