The present article discusses the role of categorical variable in the problem of multicollinearity in linear regression model. It exposes the diagnostic tool condition number to linear regression models with categorical explanatory variables and analyzes how the dummy variables and choice of reference category can affect the degree of multicollinearity. Such an effect is analyzed analytically a...

Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system. This paper builds a relational network DEA model, taking into account the interrelationship of the processes within the system, to measure the efficiency of the system and those of the processes at the same time. The system...

The purpose of this paper is to give a theoretical description of clockcharts, and their implementation in the StateClock tool for COSC4352 students. 1.0 Temporal logic and fair transition systems In the sequel, we use relative quantification where Q is a quantifier (e.g. ∀ or ∃), T is the type of the dummy variable x, R is the range of the dummy variable and P a predicate [Gries, 1993 #369]. F...

This paper investigates the problem of inserting an additional hidden variable into a standard HMM. It is shown that this can be done by introducing a continuous feature which is used to calculate the probability of observing the different states of the hidden variable. The posteriors are modelled by softmax functions with polynomial exponents and an efficient method is developed for reestimati...

We report here results obtained from a series of plasma flow switch experiments done on the Procyon explosive pulse power generator. These experiments involved switching into a fixed inductance dummy load and also into a dynamic implosion load. The results indicated that the switch did fairly well at switching current into the load, but the results for the implosion are more ambiguous. We compa...

In traditional applications of latent variable models, each exogenous latent variable must either have its variance parameter fixed or a loading path to a measured indicator variable fixed (either customarily to 1). Without doing so the measurement model will suffer from underidentification, thereby yielding no unique solution when estimating the parameters of interest. The choice of whether to...

Dummy variables are variables that take the values of only 0 or 1. They may be explanatory or outcome variables; however, the focus of this article is explanatory or independent variable construction and usage. Typically, dummy variables are used in the following applications: time series analysis with seasonality or regime switching; analysis of qualitative data, such as survey responses; cate...

Sustainability in 19 different Arab countries has been studied through investigating the relationship between economic development and energy consumption. Data collected has been studied as a whole (Total countries data) and as segregated data (Oil exporting and Oil importing countries data) i.e. three categories. The regression model used measures the effect of independent and control variable...

This paper analyzes the effects of socio-economic factors on life expectancy. Using multiple regression analysis, the paper shows that there is a positive strong correlation between life expectancy as an independent variable and per capita income, health expenditures, literacy rate and daily calorie intake. Also, it shows that there is a negative strong correlation between life expectancy and n...

This research investigates the effects of Portland’s urban growth boundary (UGB) on urban development patterns and mobility. Three different methods are adopted for evaluating Portland’s UGB: intermetropolitan comparisons; comparisons inside and outside the UGB; and, statistical analyses utilising regression models. Intermetropolitan comparisons do not support the conclusion that Portland’s UGB...