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31.685  Articles
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This study evaluates the welfare impacts of jatropha (Jatropha carcus) cultivation measured as consumption expenditure per adult-equivalent for smallholders in southern Malawi. Household survey data from the southern region of Malawi collected in 2014 fro... see more

Motorcycle riders and passengers are much more likely to be killed or severely injured in a crash, and on average about 15% of all traffic fatalities include motorcyclists. Between 2008 and 2019, the average motorcycle crash frequency in Wyoming was 286 c... see more

The study investigates policy lags and exchange rate dynamics in Nigeria. The downswing in the Nigerian economy attributed to recurring exchange rate fluctuations justifies this empirical investigation. The period of investigation spans 1970 – 2016 and th... see more

This paper describes the application of multinomial logit regression to the discrimination of three groups of coast.al sediments at Drigg, Cumbria, UK. Moment measures of particle size were obtained for 150 sand samples taken from the present-day beach, e... see more

In this paper we present a multinomial logistic regression model for authorship identification in the Albanian language texts. In the model fitted the dependent variable is categorical which takes different values from 1 to 10 for each of the author and t... see more

Automatic speech recognition (ASR) has recorded enormous development in both research and implementation such as voice commands to control electronic appliances, video games, interface to voice dictation, assistive leaving for the elderly, and dialogue sy... see more

The purpose of this study is to determine the probability of the changes of upgrade, downgrade, and same grade public accounting firms predicted by prior audit opinion, growth rate of the client, public ownership and financial distress. The population in ... see more

This study aims to identify an application of Multinomial Logistic Regression model which is one of the important methods for categorical data analysis. This model deals with one nominal/ordinal response variable that has more than two categories, whether... see more

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