scholarly journals Οι χρεοκοπίες μικρού ή μεγάλου μεγέθους επιχειρήσεων

2018 ◽  
Author(s):  
Νικόλαος Αρνής
Keyword(s):  
Factor Analysis ◽  
Discriminant Analysis ◽  
Probability Model ◽  
Linear Probability Model ◽  
Multivariate Discriminant Analysis ◽  
Linear Probability ◽  
Multivariate Discriminant

Η πρόβλεψη της χρεοκοπίας των επιχειρήσεων, σε ένα διαρκώς μεταβαλλόμενο οικονομικό περιβάλλον, αποτελεί θέμα ζωτικής σημασίας τόσο για τις επιχειρήσεις, όσο και για τους λοιπούς ενδιαφερόμενους για τη πορεία της επιχείρησης, όπως χρηματοπιστωτικούς οργανισμούς, προμηθευτές, επενδυτές, πελάτες, ελεγκτικές αρχές, εργαζόμενους κλπ.Η παρούσα διδακτορική διατριβή, διερευνά την πρόβλεψη της χρεοκοπίας των επιχειρήσεων, εφαρμόζοντας τις τεχνικές: Της πολυμεταβλητής διακριτικής ανάλυσης(multivariate discriminant analysis), του γραμμικού υποδείγματος πιθανότητας (Linear Probability model), του λογαριθμικού υποδείγματος πιθανότητας (Logit) και του κανονικού υποδείγματος πιθανότητας (Probit), χρησιμοποιώντας πέντε χρηματοοικονομικούς δείκτες (ανεξάρτητες μεταβλητές), οι οποίοι επιλέχθηκαν με τη μέθοδο της παραγoντικής ανάλυσης(factor analysis). Το δείγμα, το οποίο περιλαμβάνει, 339 Ελληνικές πτωχευμένες εταιρείες της χρονικής περιόδου 2003 – 2014, αντιστοιχήθηκε με ένα ισάριθμο δείγμα υγιών – ενεργών εταιρειών, το οποίο σχηματίσθηκε με τυχαία επιλογή, και διαχωρίσθηκε σε τέσσερους βασικούς κλάδους της Ελληνικής οικονομίας, ήτοι: Μεταποιητικό – βιομηχανικό, Χονδρικού εμπορίου, Λιανικού εμπορίου και κλάδο Υπηρεσιών.Θεωρώντας ότι η οικονομική κρίση στη χώρα, δημιούργησε καταστάσεις που προσδίδουν διαφορετική συμπεριφορά στις επιχειρήσεις, από την περίοδο πριν την κρίση, πραγματοποιήθηκε ανάλυση και για τις δύο περιόδους (πριν την οικονομική κρίση και κατά τη διάρκεια αυτής), ξεχωριστά.Τα αποτελέσματα έδειξαν ότι υπάρχουν σαφείς διαφορές, τόσο μεταξύ των διαφορετικών περιόδων, όσο και μεταξύ των διαφορετικών κλάδων της οικονομίας. Τα υποδείγματα Probit και Logit, στις περισσότερες των περιπτώσεων υπερέχουν σε προγνωστική ικανότητα, των άλλων δυο υποδειγμάτων, ενώ οι χρηματοοικονομικοί δείκτες(ανεξάρτητες μεταβλητές), που επιδεικνύουν καλύτερη επεξηγηματική ικανότητα είναι οι αριθμοδείκτες: Δανειακά Κεφάλαια προς Συνολικά Απασχολούμενα Κεφάλαια και EBITDA προς Σύνολο Ενεργητικού.

Sibling Models, Categorical Outcomes, and the Intra-Class Correlation

2021 ◽  
Author(s):  
Richard Breen ◽  
John Ermisch
Keyword(s):  
Random Effects ◽  
Probability Model ◽  
Intraclass Correlation ◽  
Linear Probability Model ◽  
Intra Class Correlation ◽  
Sibling Differences ◽  
Sibling Models ◽  
Alternative Measures ◽  
Linear Probability ◽  
Parametric Estimate

Abstract In sibling models with categorical outcomes the question arises of how best to calculate the intraclass correlation, ICC. We show that, for this purpose, the random effects linear probability model is preferable to a random effects non-linear probability model, such as a logit or probit. This is because, for a binary outcome, the ICC derived from a random effects linear probability model is a non-parametric estimate of the ICC, equivalent to a statistic called Cohen’s κ. Furthermore, because κ can be calculated when the outcome has more than two categories, we can use the random effects linear probability model to compute a single ICC in cases with more than two outcome categories. Lastly, ICCs are often compared between groups to show the degree to which sibling differences vary between groups: we show that when the outcome is categorical these comparisons are invalid. We suggest alternative measures for this purpose.

Relationships between risk factors and morphological patterns of human carotid atherosclerotic plaques. A multivariate discriminant analysis

1994 ◽  
Vol 108 (1) ◽  
pp. 39-60 ◽  
Author(s):  
Luigi Giusto Spagnoli ◽  
Alessandro Mauriello ◽  
Giampiero Palmieri ◽  
Giuseppe Santeusanio ◽  
Ada Amante ◽  
...  
Keyword(s):  
Risk Factors ◽  
Discriminant Analysis ◽  
Atherosclerotic Plaques ◽  
Multivariate Discriminant Analysis ◽  
Multivariate Discriminant ◽  
Human Carotid ◽  
Morphological Patterns

Direct classification of new psychoactive substances in seized blotter papers by ATR-FTIR and multivariate discriminant analysis

2017 ◽  
Vol 133 ◽  
pp. 96-103 ◽  
Author(s):  
Leandro S.A. Pereira ◽  
Fernanda L.C. Lisboa ◽  
José Coelho Neto ◽  
Frederico N. Valladão ◽  
Marcelo M. Sena
Keyword(s):  
Discriminant Analysis ◽  
New Psychoactive Substances ◽  
Psychoactive Substances ◽  
Multivariate Discriminant Analysis ◽  
Multivariate Discriminant

scholarly journals The Asymmetric Drift of the Thick Disk Population

1995 ◽  
Vol 164 ◽  
pp. 384-384
Author(s):  
Devendra Ojha ◽  
Annie C. Robin ◽  
Olivier Bienaymé
Keyword(s):  
Discriminant Analysis ◽  
Thick Disk ◽  
Population Synthesis ◽  
Sample Surveys ◽  
Multivariate Discriminant Analysis ◽  
Multivariate Discriminant

We investigate the kinematics of the thick disk population using photometric and astrometric sample surveys towards two opposite directions at intermediate latitude. A multivariate discriminant analysis (MDA) is used to distinguish the ‘Thick Disk’ from other populations with the help of the Besançon model of population synthesis. The data constrain the asymmetric drift of the thick disk population, which is found to be 40±10 km/s and does not depend on the galactic radius.

Charged with Instability: Are Paternal Arrests and Criminal Charges Enough to Shake the Marital Stability of American Couples?

2020 ◽  
Vol 41 (12) ◽  
pp. 2423-2447
Author(s):  
Antonius D. Skipper ◽  
Douglas S. Bates ◽  
Zachary D. Blizard ◽  
Richard G. Moye
Keyword(s):  
Justice System ◽  
Probability Model ◽  
Well Being ◽  
Marital Stability ◽  
Fragile Families ◽  
Linear Probability Model ◽  
Paternal Incarceration ◽  
Criminal Charges ◽  
Linear Probability ◽  
The Relationship

With the growing rate of divorce, increasing efforts are being made to identify the factors that contribute to relationship dissolution for many American couples. One commonly noted, and particularly concerning, factor toward relationship instability is the incarceration of husbands and fathers. Although paternal incarceration and familial stability have been studied, little is known about the relationship between criminal charges and divorce. The current study utilized data from the Fragile Families and Child Wellbeing Study to understand the effect of paternal criminal charges on divorce for 725 families. Utilizing a logistic regression and two-stage least squares linear probability model, results show that, even without incarceration, being charged with a crime as a husband significantly increases the likelihood that a couple will get divorced. These findings have significant implications for understanding how encounters with the criminal justice system affect familial well-being and stability.

Urine protein markers distinguish stone-forming from non-stone-forming relatives of calcium stone formers

2006 ◽  
Vol 291 (3) ◽  
pp. F530-F536 ◽  
Author(s):  
Kristin J. Bergsland ◽  
Jennifer K. Kelly ◽  
Brian J. Coe ◽  
Fredric L. Coe
Keyword(s):  
Discriminant Analysis ◽  
Stone Formation ◽  
Stone Disease ◽  
Small Subset ◽  
Protein Markers ◽  
Urine Protein ◽  
Multivariate Discriminant Analysis ◽  
Stone Formers ◽  
Calgranulin B ◽  
Multivariate Discriminant

We have investigated urine protein inhibitors of calcium oxalate crystallization to determine whether variations in these proteins are associated with kidney stone disease and whether protein measurements improve the identification of stone formers compared with conventional risk factors (RF). Using Western blotting, we studied variations in the electrophoretic mobility patterns and relative abundances of crystallization-inhibitory proteins in urine from 50 stone-forming (SF) and 50 non-stone-forming (NS) first-degree relatives of calcium SF patients, matched by gender and age. Standard urine chemistry stone risk measurements were also made. Multivariate discriminant analysis was used to test the association of these proteins with nephrolithiasis. Differences in form and abundance of several urine proteins including inter-α-trypsin inhibitor (ITI), prothrombin fragment 1 (PF1), CD59, and calgranulin B (calB) were found to be associated with stone formation. By multivariate discriminant analysis, measurements of forms of PF1, ITI, and calB in men and ITI and CD59 in women, classified 84% of men and 76% of women correctly by stone status. In contrast, standard urine chemistry RF identified only 70% of men correctly and failed to distinguish female SF from NS. Thus a small subset of protein measurements distinguished SF from NS far better than conventional RF in a population of relatives of calcium SF, illustrating the significant association of these proteins with stone disease. Variations in these proteins may serve as markers of stone disease activity or vulnerability to recurrence and may provide new insights into mechanisms of stone formation.

Sign in / Sign up

Export Citation Format

Share Document