Results 31 to 40 of about 12,131,923 (292)

Statistical Models for Corporate Credit Risk Assessment – Rating Models

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2016
Taking into consideration the weakness of the models based on discrimination function (Z-score) proposed by Altman within the conditions of polish economy some attempts were taken in the 90s to adjust these models to the reality of post-communist economy.
Aneta Ptak-Chmielewska
doaj   +1 more source

Statistical Risk Models [PDF]

open access: yesSSRN Electronic Journal, 2016
44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
openaire   +2 more sources

A machine learning approach to statistical shape models with applications to medical image analysis [PDF]

open access: yes, 2010
Statistical shape models have become an indispensable tool for image analysis. The use of shape models is especially popular in computer vision and medical image analysis, where they were incorporated as a prior into a wide range of different algorithms.
Lüthi, Marcel
core   +1 more source

Combining multi-domain statistical machine translation models using automatic classifiers [PDF]

open access: yes, 2010
This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Li, Baoli   +5 more
core   +2 more sources

CHARACTERISTICS OF INTEGRATION BETWEEN STATISTICAL MODELS AND MATHEMATICAL MODELS [PDF]

open access: yesJournal of Mechanics of Continua and Mathematical Sciences
This study focuses on integrating mathematical and statistical modeling, where a statistical model estimates the parameters of a mathematical model, or a mathematical model generates data to train a statistical model.
Rasha Ibrahim Hajaj   +4 more
doaj   +1 more source

Parsimonious statistical learning models for low-flow estimation [PDF]

open access: yesHydrology and Earth System Sciences, 2022
Statistical learning methods offer a promising approach for low-flow regionalization. We examine seven statistical learning models (Lasso, linear, and nonlinear-model-based boosting, sparse partial least squares, principal component regression, random ...
J. Laimighofer, M. Melcher, G. Laaha
doaj   +1 more source

Statistical ecology comes of age [PDF]

open access: yes, 2014
The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and uncertainties inherent in ecology.
Schurr, Frank M   +66 more
core   +1 more source

Flowering prediction of pear tree (Pyrus communis L.), apple tree (Malus domestica Borkh) and plum tree (Prunus domestica L.) - similarities and differences

open access: yesActa Agriculturae Slovenica, 2001
Paper discusses the similarities and differences in predicting the full flowering of apple tree (cv. 'Bobovec'), pear tree (cv. 'Pastorjevka') and domestic plum tree. The study was conducted at University of Ljubljana.
Klemen BERGANT   +2 more
doaj   +1 more source

From p+p to Pb+Pb collisions : wounded nucleon versus statistical models [PDF]

open access: yes, 2013
System size dependence of hadron production properties is discussed within the Wounded Nucleon Model and the Statistical Model in the grand canonical, canonical and micro-canonical formulations.
Marek Gazdzicki, Gaździcki, Marek
core   +1 more source

Train Performance Analysis Using Heterogeneous Statistical Models

open access: yesAtmosphere, 2021
This study investigated the effect of a harsh winter climate on the performance of high-speed passenger trains in northern Sweden. Novel approaches based on heterogeneous statistical models were introduced to analyse the train performance to take time ...
Jianfeng Wang, Jun Yu
doaj   +1 more source

Home - About - Disclaimer - Privacy