Results 31 to 40 of about 11,697,554 (295)
Statistical Models for Corporate Credit Risk Assessment – Rating Models
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
44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
openaire +2 more sources
Bradley-Terry models in R : the BradleyTerry2 package [PDF]
This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification and fitting of Bradley-Terry logit, probit or cauchit models to pair-comparison data.
Heather Turner +3 more
core +1 more source
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
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Towards understanding models for statistical literacy: A literature review. [PDF]
Despite statistical literacy being relatively new in statistics education research, it needs special attention as attempts are being made to enhance the teaching, learning and assessing of this strand.
Talakia'atu, Semisi +4 more
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Train Performance Analysis Using Heterogeneous Statistical Models
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
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Combining multi-domain statistical machine translation models using automatic classifiers [PDF]
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
A machine learning approach to statistical shape models with applications to medical image analysis [PDF]
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
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Statistical Models of Alkaline Batteries Discharge
In this study, there was proved by experiments that the way, in which the activation-ohmic addend in Shepherd’s and Tremblay’s empiric equations and their generalizations describes activation-ohmic processes during a battery discharge by direct current ...
Nikolay Galushkin +3 more
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Statistical validation of genetic models
Various aspects of statistical validation of genetic models are reviewed. Possible ways of decomposing additive genetic variance over time and ways of comparing predictions at different times are suggested.
Robin Thompson, Thompson, R.
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