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Biometrika, 2006
SUMMARY The multivariate logistic transform is a reparameterisation of cell probabilities in terms of marginal logistic contrasts. It is known that an arbitrary set of logistic contrasts may not correspond to a valid joint distribution. In this paper we present an efficient algorithm for detecting whether or not the inverse transform exists, and for ...
Bahjat F. Qaqish, Anastasia Ivanova
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SUMMARY The multivariate logistic transform is a reparameterisation of cell probabilities in terms of marginal logistic contrasts. It is known that an arbitrary set of logistic contrasts may not correspond to a valid joint distribution. In this paper we present an efficient algorithm for detecting whether or not the inverse transform exists, and for ...
Bahjat F. Qaqish, Anastasia Ivanova
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The influence of variables in a logistic model
Biometrika, 1991SUMMARY The influence of explanatory variables in a logistic model is considered when the goal is to determine the predictive probability of a future observation in a Bayesian approach. We consider whether the predictive distribution will change greatly when subsets of the explanatory variables are omitted from the data set or from the future ...
S. K. Bhattacharjee, I. R. Dunsmore
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2019
Logistics is the lifeblood of any organization and especially so for organization in the Department of Defense. Logistics has been defined by individuals such as Jomini, as “the art of moving armies,” which includes providing for their supplies and establishing lines of supplies.
William P. Fox, Robert Burks
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Logistics is the lifeblood of any organization and especially so for organization in the Department of Defense. Logistics has been defined by individuals such as Jomini, as “the art of moving armies,” which includes providing for their supplies and establishing lines of supplies.
William P. Fox, Robert Burks
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Logistic Regression Models [PDF]
, 2009 Preface Introduction The Normal Model Foundation of the Binomial Model Historical and Software Considerations Chapter Profiles Concepts Related to the Logistic Model 2 x 2 Table Logistic Model 2 x k Table Logistic Model Modeling a Quantitative Predictor Logistic Modeling Designs Estimation Methods Derivation of the IRLS Algorithm IRLS Estimation ...
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, 2003 Differential equation models, whether ordinary, delay, partial or stochastic, imply a continuous overlap of generations. Many species leave no overlap between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable ...
Anatoly Swishchuk, Jianhong Wu
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1997
Discrete mixture distribution models (MDM) assume that observed data do not stem from a homogeneous population of individuals but are a mixture of data from two or more latent populations (Everitt and Hand, 1981; Titterington et al., 1985). Applied to item response data this means that a particular IRT model does not hold for the entire sample but that
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Discrete mixture distribution models (MDM) assume that observed data do not stem from a homogeneous population of individuals but are a mixture of data from two or more latent populations (Everitt and Hand, 1981; Titterington et al., 1985). Applied to item response data this means that a particular IRT model does not hold for the entire sample but that
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A logistic model for thyroid lesions
Diagnostic Cytopathology, 1992AbstractA stepwise logistic regression analysis was performed in 27 cases of papillary carcinoma thyroid (PC), 20 follicular neoplasms (FN), 30 cases of Grave's disease (GD), and 40 cases of colloid adenomatous goitre (CAG). The three most important variables in predicting PC were papillary clusters, dense cytoplasm, and intranuclear cytoplasmic ...
Gita Jayaram, Debdatta Basu
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1998
The traditional theoretical focus of industrial location and linkage analysis is on the question of how transactions across space affect and influence market behaviour between points in space. Although such transactions take place in both space and time, time is rarely incorporated into space and location models, and where it is, this is usually done ...
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The traditional theoretical focus of industrial location and linkage analysis is on the question of how transactions across space affect and influence market behaviour between points in space. Although such transactions take place in both space and time, time is rarely incorporated into space and location models, and where it is, this is usually done ...
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European Journal of Operational Research, 1995
Logistic chain modelling is very important in improving the overall performance of the total logistic chain. Logistic models provide support for a large range of applications, such as analysing bottlenecks, improving customer service, configuring new logistic chains and adapting existing chains to new products and markets.
Gert Dijkhuizen +3 more
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Logistic chain modelling is very important in improving the overall performance of the total logistic chain. Logistic models provide support for a large range of applications, such as analysing bottlenecks, improving customer service, configuring new logistic chains and adapting existing chains to new products and markets.
Gert Dijkhuizen +3 more
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2011
The chapter introduces logistic spline model that combines the principle of sigmoidal growth and the concept of interpolation splines. Logistic spline smoothly joins the latest (known) data about the number of product users with the assumed number of product users in future, and locally has a form of logistic law of growth .Applications of developed ...
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The chapter introduces logistic spline model that combines the principle of sigmoidal growth and the concept of interpolation splines. Logistic spline smoothly joins the latest (known) data about the number of product users with the assumed number of product users in future, and locally has a form of logistic law of growth .Applications of developed ...
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