Random Variable Representation Models for Deterioration
Newsboy single period inventory model with fuzzy random variable demand and deterioration
... fuzzy random variable and its fuzzy expectation has been presented by ...fuzzy random variable has also been considered in (Kim and Ghil, 1997; Feng et ...with deterioration. In Section ...
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Variable selection in generalized random coefficient autoregressive models
... the random coefficient autore- gressive (RCAR) model ...the random coefficient exponential autoregressive model ...generalized random coefficient autoregressive ...generalized random coefficient ...
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Limited Dependent Variable Correlated Random Coefficient Panel Data Models
... The identification of the binary response model is different from the linear mod- els. We can identify the coefficients if we assume that the unobserved random terms have known distributions, and this will allow ...
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Automatic Variable Selection for Single Index Random Effects Models with Longitudinal Data
... of variable selection for the single-index random effects models with longitudinal ...automatic variable selection procedure is developed using ...
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Developing Deterioration Models for Nebraska Bridges
... The models can be developed as using straight-line extrapolation, regression, and curve-fitting ...of deterioration of a relatively new bridge, or of a bridge that has undergone some repair or ...Regression ...
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Phase transitions and the random cluster representation for Delaunay Potts models with geometry dependent interactions
... of models where the background interac- tion is strictly positive for all long-range ...key models we analyse for such geometry-dependence in the background ...These models are similar to those ...
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Variable Selection in Covariate Dependent Random Partition Models: an Application to Urinary Tract Infection
... including random effects (usually modelled using a Normal distribution) to account for heterogeneity between ...the random effects is non-Normal, multi-modal, or perhaps ...hierarchical models, in ...
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Optimal replenishment policy with variable deterioration for fixed lifetime products
... inventory models for deteriorating items, very few of them have taken the maximum lifetime of a deteriorating item into ...and deterioration function are linear functions of time, which are treated as ...
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Variable selection using Random Forests
... Remark 3.1. Since we want to treat in an unified way all the situations, we will use for finding prediction variables the some- what crude strategy previously defined. Nevertheless, starting from the set of variables ...
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Conditional Variable Importance for Random Forests
... original random forest variable importance measures, because they can be considered as measures of marginal importance, even though what is of interest in most applications is the conditional effect of each ...
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On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration
... Discrete-in-time, random deterioration, ...of deterioration plays an important role in many inventory ...sufficient deterioration may occur during the normal storage period of the units and ...
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An ARMA Representation of Unobserved Component Models under Generalized Random Walk Specifications: New Algorithms and Examples
... 1 Introduction During the last two decades the literature on signal extraction has been roughly based on the so-called model-based approach. Three directions have emerged: (1) one, termed the ARIMA-model based or ...
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Preservation of ageing classes in deterioration models with independent increments
... a random variable Y , we will denote by F Y the distribution function of this random variable and F ¯ Y := – F Y will stand for its survival ...
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Random Forest variable importance with missing data
... a variable under consideration of its actual ...a variable would have taken if there had been no missing ...that Random Forests that base on multiple imputed data were mostly unaffected by the ...
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Ranking a Random Feature for Variable and Feature Selection
... between models with different inputs require (i) training several models with different initial values of the parameters (for nonlinear-in-the-parameters models), (ii) selecting the model with the ...
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Variable selection with Random Forests for missing data
... 5.1 Implementation The R system for statistical computing (R Develop- ment Core Team, 2011) was used to perform the sim- ulation study. The package party (Hothorn et al., 2008) provides unbiased Random Forests ...
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On Delaunay random cluster models
... A −1 . Our estimates for these activity and temperature thresholds are similar to those in [BBD03], although the former depends on the angle threshold β 0 between discouraged and non-discouraged triangles in our case, ...
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VARIABLE SELECTION IN REGRESSION MODELS
... REGRESSION MODELS AND VARIABLE SELECTION The primary concern of statistics is to infer on the unknown distribution of random variables from a random ...
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Robustness in Latent Variable Models
... presumed random-effect model as BVN, first-order SNP, and mixture ...the random effects are similar to those obtained by Song et ...presumed random-effect model is BVN, while we got ˆ θ (n) = − ...
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An EOQ Model for Deteriorating Items with Linear Demand, Variable Deterioration and Partial Backlogging
... having variable deterioration rate, earlier models have considered items having con- stant rate of ...whose deterioration rate increase with ...
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