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Missing covariates in logistic regression, estimation and distribution selection

Consentino, Fabrizio; Claeskens, Gerda - 2008

Persistent link: https://www.econbiz.de/10003976962

Extending extended logistic regression for ensemble post-processing : extended vs. separate vs. ordered vs. censored

Messner, Jakob W.; Mayr, Georg J.; Wilks, Daniel S.; … - 2013

Extended logistic regression is a recent ensemble calibration method that extends logistic regression to provide full continuous probability distribution forecasts. It assumes conditional logistic distributions for the (transformed) predictand and fits these using selected predictand category...

Persistent link: https://www.econbiz.de/10010197616

An application of principal component analysis and logistic regression to facilitate production scheduling decision support system : an automotive industry case

Mehrjoo, Saeed; Bashiri, Mahdi - In: Journal of industrial engineering international 9 (2013), pp. 1-12

Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms,...

Persistent link: https://www.econbiz.de/10009783368

Food Insecurity and Vulnerability in Rural Burkina Faso : An Approach Using a Stereotype Logistic Regression Model

Nakelse, Tebila - 2015

The regularity of the food crises in the countries of the Sahel challenges more one on the need for looking further into the studies on the food risk of insecurity. This study thus proposes to study the food vulnerability of the rural populations in Burkina Faso. This not only in terms of...

Persistent link: https://www.econbiz.de/10013038256

Novel approach to choosing principal components number in logistic regression

Vrigazova, Borislava - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 7 (2021) 1, pp. 1-12

The confirmed approach to choosing the number of principal components for prediction models includes exploring the contribution of each principal component to the total variance of the target variable. A combination of possible important principal components can be chosen to explain a big part...

Persistent link: https://www.econbiz.de/10013170122

Influence of Multimodal Transport System Dynamics on Logistics Responsiveness : An Ordinal Logistic Regression Approach

Okyere, Stephen - 2017

Multimodal transport systems (MTS) and logistics responsiveness (LR) are vital concepts in engineering and business … therefore, attracted few research interests. This paper aims at assessing the influence of MTS dynamics on logistics … logistic regression approach. The study reviewed the broad-spectrum of logistics responsiveness, dynamics in MTS, Ghanaian …

Persistent link: https://www.econbiz.de/10012940933

A Comparison of Artificial Neural Network Model and Logistics Regression in Prediction of Companies’ Bankruptcy (A Case Study of Tehran Stock Exchange)

Mansouri, Ali - 2016

This paper aims to focus on the comparison of the artificial neural network model and logistic regression model in the prediction of companies' bankruptcy in Tehran stock exchange (TSE) in 3, 2 and 1 year in advance. This study exercises an analytic-mathematical approach which has been utilized...

Persistent link: https://www.econbiz.de/10012990673

Multistep Quantile Forecasts for Supply Chain and Logistic Operations : Bootstrapping, the GARCH model and Quantile Regression Based Approaches

Bruzda, Joanna - 2018

In this paper, we discuss and compare empirically various ways of computing multistep quantile forecasts of demand, with a special emphasis on the use of the quantile regression methodology. Such forecasts constitute a basis for production planning and inventory management in logistic systems...

Persistent link: https://www.econbiz.de/10012932647

Predicting and managing Credit risks using RIDGE and Logistic LASSO regression

Mushunje, Leonard - 2021

When borrowers default or fail to repay the lenders (banks), default–linked risks-so called credit risks do emerge. Such risks are critical to several agents like creditors, borrowing firms, and governments alike. As such, financial engineers have been putting in place some scientific...

Persistent link: https://www.econbiz.de/10013231645

Application of logistic regression to analyze the economic efficiency of vehicle operation in terms of the financial security of enterprises

Grzelak, Malgorzata; Owczarek, Paulina; Stoica, … - In: Logistics 8 (2024) 2, pp. 1-14

Background: A measurable feature of the efficiency of vehicle use in transportation companies is the revenue from transport orders, which has a significant impact on their profitability. Therefore, it is important to skillfully analyze the parameters related to the operation of vehicles and...

Persistent link: https://www.econbiz.de/10014631263

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