Results 21 to 30 of about 4,589 (165)
A Binary Logistic Regression Model for Support Decision Making in Criminal Justice
Folia Oeconomica Stetinensia, 2022 Research background: The economics of incarceration is having an increasing impact on the economies of the world due to the rapid growth in the number of prisoners in the world The search for effective solutions that can help reduce government spending ...
Berezka Kateryna M. +4 more
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Handling heteroskedasticity in labour demand functions of athletes
Croatian Review of Economic, Business and Social Statistics, 2018 Based on previous research it can be stated that modelling sport economics related demand curves (e.g. demand for sport events and athletes) is different from other types of modelling.
Rappai Gábor, Fűrész Diána Ivett
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South African Unemployment in the Post-Financial Crisis Era: What are the Determinants?
Folia Oeconomica Stetinensia, 2020 Research background: High unemployment rates are one of the greatest economic challenges facing the post-apartheid South African government over the past two decades and this problem has become more worrisome in the post-global financial crisis period.
Mbekeni Lutho, Phiri Andrew
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Forecasting Value-at-Risk Using Conditional Volatility Models: Evidence from Tehran Stock Exchange [PDF]
تحقیقات مالی, 2008 In this paper, we investigate the performance of parametric ARCH class models to forecast out-of-sample VaR for two portfolios of Tehran Stock Exchange (TSE) companies (Market portfolio and a portfolio of 50 liquid companies), using a number of ...
شاپور محمدی +2 more
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Value-at-Risk Estimation of Equity Market Risk in India
Acta Universitatis Sapientiae: Economics and Business, 2021 The value-at-risk (Va) method in market risk management is becoming a benchmark for measuring “market risk” for any financial instrument. The present study aims at examining which VaR model best describes the risk arising out of the Indian equity market (
Jitender
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Real Estate Management and Valuation, 2019 The complexity of multi-component real properties results from the possibility of identifying various components in legal, physical or functional terms.
Adamczyk Tomasz +2 more
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The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers
Folia Oeconomica Stetinensia, 2020 Research background: The successful learning of classifiers depends on the quality of data. Modeling is especially difficult when the data are unbalanced or contain many irrelevant variables. This is the case in many applications.
Kubus Mariusz
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Synthesis of the C1−C52 Fragment of Amphidinol 3, Featuring a β-Alkoxy Alkyllithium Addition Reaction [PDF]
Organic Letters, 2007 An advanced intermediate for the synthesis of amphidinol 3 has been prepared. A cross-metathesis reaction was used to couple the C1-C12 and C13-C26 segments. An unusual beta-alkoxy alkyllithium reagent was generated from this segment and added to a Weinreb amide to assemble the C1-C52 section of amphidinol 3.
John R, Huckins +2 more
openaire +2 more sources
AIChE Journal, EarlyView.Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse +2 more
wiley +1 more source
Plant, Cell &Environment, EarlyView.Abstract Abscisic acid (ABA) is a key phytohormone in plant responses to water deficit. Although there is extensive evidence that roots can synthesise ABA, recent findings suggest that local synthesis in response to dehydration contributes little to the root ABA pool compared to shoot‐sourced ABA.
Jaime Puértolas +4 more
wiley +1 more source