BusItem class with variables and methods
Estimation methods in the errors-in-variables context
... a class of ) quadratic curves and surfaces ...of variables but cast in an explicit form, and may be preferred especially if the ob- ject under study itself is a composition of geometric ...of methods ...
140
Imputation Methods for Incomplete Dependent Variables in Finance
... explanatory variables (i.e., including too few variables in the missingness ...imputation methods have recently become ...explanatory variables (i.e., the MAR scheme), formal imputation ...
45
Scheduled Review Methods for Controllable State Variables
... State variables; Inventory systems; Random variates; Review methods * E-mail: ...state variables whose values must be kept within a predefined ...state variables in such systems is stochastic ...
10
Lasso Methods for Gaussian Instrumental Variables Models
... instrumental variables (IV) models with many instruments in the canonical Gaussian ...The methods apply even when the number of instruments is much larger than the sample ...
35
Nonparametric methods for inference in the presence of instrumental variables
... kernel methods and orthogonal series to estimating regression functions in the presence of instru- mental ...this class of problems, we derive optimal convergence rates, and show that they are attained by ...
26
Parametric methods outperformed non-parametric methods in comparisons of discrete numerical variables
... distributed variables, the two- sample T test and confidence interval are well known to be the optimal methods for comparing the ...alternative methods might be ...
8
Dimensionality reduction methods for contingency tables with ordinal variables
... categorical variables are accounted for in a factorial plane of a correspondence plot, enabling us to visually understand the nature of this ...interrelated methods for a two-way contingency ...several ...
14
The Effectiveness of Forecasting Methods Using Multiple Information Variables
... forecasting methods using multiple information variables in forecasting the rate of changes in the consumer price index (CPI) and real GDP in Japan, and investigates the background of forecast performance ...
39
Methods for handling missing variables in risk prediction models
... * Correspondence to Dr. Ulrike Held, Horten Centre for Patient-Oriented Research and Knowledge Transfer, University of Zurich, Pestalozzistrasse 24, 8032 Zurich, Switzerland (e-mail: [email protected]). Initially ...
8
Methods of Economic Theory: Variables, Transactions and Expectations as Functions of Risks
... develops methods and framework of economic theory free from general equilibrium tools and ...financial variables, transactions, expectations of other agents, other factors that impact macro ...economic ...
34
Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables
... binary variables in terms of their importance for developing a medical out- come, which is a very common problem in variable importance ...art methods for causal inference to solve prediction and VIM ...
27
Sensibility to noise of new multifractal fusion methods for ocean variables
... ocean variables indicates that some common, non-linear processes affect them to a significant ...multifractal methods can be a key to enhancing the existing databases of remote sensing images and give hints ...
11
Comparison of methods for imputing limited-range variables: a simulation study
... limited-range variables was conducted within a simulation framework in which we fixed a particular complete dataset of interest and repeatedly set data to missing, comparing the results of MI-based inferences for ...
11
Automated mapping of climatic variables using spatio-temporal geostatistical methods
... In 2007, he enrolled in PhD study, within the same University. During the study he com- pleted exams and started with research related to space-time interpolation of daily mete- orological variables for global ...
183
Learning loopy graphical models with latent variables: Efficient methods and guarantees
... convex methods are hard to interpret and verify in ...hidden variables, but pro- poses learning Markov graph of marginal distribution (upon marginalizing the hidden variables) and then replacing the ...
37
Computational methods for sums of random variables
... numerical methods also apply in a risk theory ...inversion methods have been employed, and compared to solve this particular problem in the work of Goffard et ...
203
ALARM DETECTION METHODS FOR PHYSIOLOGICAL VARIABLES
... Accordingly, the automatic control system incorporates an alarm system to estimate based on two different statistical methods: forecasting techniques and Walsh-Fourier spectral analysis. The performance of ...
5
Class, in object-oriented approach, specifies: instance variables state (i.e. type ) of objects; methods operations on objects of a given type.
... Consider a (class) schema S of the form given below. Its associated bag-schema, which defines a collection of elements of type S, is constructed by adding a base sort that is the indexing set. Define each constant ...
8
Applications of graded methods to cluster variables in arbitrary types
... cluster variables geometrically, and this proves such a powerful tool when applied to gradings that results which would otherwise be extremely difficult to obtain can essentially be read off from the associated ...
136
Extension of Space Syntax Methods to Generic Urban Variables
... to variables that are not exclusively geographical, in order to allow investigation of generic relationships in the built ...non-topological variables, such as land use, noise pollution and financial or ...
9