Temat: multinomial regression - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Factors affecting the level of commercialization among households owning cattle. A case study of Makhado Municipality of Vhembe District, Limpopo Province, South Africa
Autorzy:: Minyuku, Xitshembiso Appointment
Belete, Abenet
Baloi, Vutomi Arone
Powiązania:: https://bibliotekanauki.pl/articles/2033354.pdf
Data publikacji:: 2022-04-04
Wydawca:: Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:: commercialization
households
Multinomial Logistic Regression
Opis:: This study analyzed the factors affecting the level of commercialization among households owning cattle. The study was conducted at the Makhado Local Municipality of Vhembe District, Limpopo Province, South Africa. The study sampled 150 households owning cattle from five villages within the municipality. Data were collected through a structured questionnaire that was administered face-to-face to the respondents. For empirical reasons, the study used two analytical techniques, namely; Household Comecialisation Index and Multinomial Logistic Regression Model. Empirical results reveal that eight variables were significant in affecting the level of commercialization among households owning cattle. These variables are the marital status of household head, the age of the household head, source of income, the occupation of household, access to market information, distance to the nearest market, membership to farmer organization, and land size. Based on the findings of the study, several policy recommendations were proposed, namely; Encouragement of youth participation in agriculture in general and in cattle production in particular, promotion of gender equality in decision-making, households’ farmer organization, encouragement of market-orientation in cattle production, and establishment of cattle input support programs (e.g., feed, water and disease control).
Źródło:: Journal of Agribusiness and Rural Development; 2022, 63, 1; 41-50
1899-5241
Pojawia się w:: Journal of Agribusiness and Rural Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Socio-demographic determinants of small scale farmers’ land tenure system in Kwara State
Autorzy:: Oyedeji, O.
Awotunde, E.
Ojediran, E.
Fakayode, S.
Powiązania:: https://bibliotekanauki.pl/articles/43176.pdf
Data publikacji:: 2018
Wydawca:: Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:: Nigeria
Kwara State
socio-demographic factor
farmer
small farmer
land tenure system
multinomial regression
Źródło:: Journal of Agribusiness and Rural Development; 2018, 48, 2
1899-5241
Pojawia się w:: Journal of Agribusiness and Rural Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Determinants of food security among rural households of the Mopani District Municipality, Limpopo Province of South Africa
Autorzy:: Nengovhela, Rudzani
Powiązania:: https://bibliotekanauki.pl/articles/2033344.pdf
Data publikacji:: 2022-04-05
Wydawca:: Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:: household food insecurity access scale
multinomial logistic regression model
rural househ
Opis:: Regardless of the several measures implemented by the South African government to curb food insecurity, majority of rural households are still experiencing food insecurity at a provincial level in Limpopo Province. This could be because of the high unemployment rate that the rural households are experiencing at a provincial level. As many of the rural households’ members went as far as obtaining tertiary education, most individuals still find it difficult to secure jobs and this results to many rural households depending on social grants for a living. In addition, social grant money alone does not become enough to meet their entire families’ food needs. The study was conducted at Mopani district municipality. Multistage sampling procedure was used, and the villages were selected based on probability proportionate to size. Thus, making the total of 173 rural households. The objectives of the study were to profile the socio-economic characteristics of rural households and to identify food security status of rural households and to determine factors that influence food security among rural households. To analyse the data, Household food insecurity access scale, descriptive statistics and Multinomial logistic regression model were used. From the findings of the study, the results revealed that majority of rural households in Mopani district municipality were found to be moderate to severe food insecure.
Źródło:: Journal of Agribusiness and Rural Development; 2022, 63, 1; 89-99
1899-5241
Pojawia się w:: Journal of Agribusiness and Rural Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Determinants of the state of poverty using logistic regression
Autorzy:: Sączewska-Piotrowska, Anna
Powiązania:: https://bibliotekanauki.pl/articles/434092.pdf
Data publikacji:: 2018
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: state of poverty
ordinal logistic regression
multinomial logistic regression
poverty threshold
household's income
Opis:: The aim of the paper was to identify the determinants of the state of poverty using logistic regression. The analysis focused on economic poverty considered through the prism of income. Three states of poverty were considered: poverty, near poverty (household’s income from 100% to 125% of the adopted poverty threshold) and above near poverty (income higher than 125% of poverty threshold), using the ordinal logit model and – after the rejection of the proportional odds assumption – the multinomial logit model. The analysis was preceded by a presentation of the basic facts concerning three states of poverty. Based on the conducted analysis it can be stated that the education of the household's head, place of residence, labourforce status and socio-economic group were very important factors of the state of poverty, and they change the odds of being in above near poverty relative to poverty and the odds of being in near poverty relative to poverty.
Źródło:: Śląski Przegląd Statystyczny; 2018, 16 (22); 55-68
1644-6739
Pojawia się w:: Śląski Przegląd Statystyczny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Informal Housing in Greece: A Multinomial Logistic Regression Analysis at the Regional Level
Autorzy:: POLYZOS, Serafeim
MINETOS, Dionysios
Powiązania:: https://bibliotekanauki.pl/articles/623885.pdf
Data publikacji:: 2014-01-22
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:: informal housing
land use changes
multinomial logistic regression
housing policy
Greece
Opis:: This paper deals with the primary causes of informal housing in Greece as well as the observed differentiations in informal housing patterns across space. The spatial level of analysis is the prefectural administrative level. The results of the multinomial logistic regression analysis indicate that Greek prefectures differ in the way they experience the informal housing phenomenon. An explanation for the observed differences may be the separate development paths followed and the diverse range of economic activities in each prefecture. The Greek state has not made provisions for creating the necessary ‘urban land stock’ in each prefecture, so that everyone interested can find land parcels at an affordable price. On the contrary, the state encourages the informal housing activity by legalizing large areas of such activity sporadically and by introducing legislative initiatives of limited success in dealing with the problem.
Źródło:: European Spatial Research and Policy; 2013, 20, 2
1231-1952
1896-1525
Pojawia się w:: European Spatial Research and Policy
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Multinomial Logistic Regression Approach For The Evaluation Of Binary Diagnostic Test In Medical Research
Autorzy:: Dwivedi, Alok Kumar
Mallawaarachchi, Indika
Figueroa-Casas, Juan B.
Powiązania:: https://bibliotekanauki.pl/articles/465774.pdf
Data publikacji:: 2015
Wydawca:: Główny Urząd Statystyczny
Tematy:: multinomial logistic regression predictive values
sensitivity, specificity
acute appendicitis
pulmonary abnormalities
medical diagnostic test
Opis:: Evaluating the effect of variables on diagnostic measures (sensitivity, specificity, positive, and negative predictive values) is often of interest to clinical researchers. Logistic regression (LR) models can be used to predict diagnostic measures of a screening test. A marginal model framework using generalized estimating equation (GEE) with logit/log link can be used to compare the diagnostic measures between two or more screening tests. These individual modeling approaches to each diagnostic measure ignore the dependency among these measures that might affect the association of covariates with each diagnostic measure. The diagnostic measures are computed using joint distribution of screening test result and reference test result which generates a multinomial response data. Thus, multinomial logistic regression (MLR) is a more appropriate approach to modeling these diagnostic measures. In this study, the validity of LR and GEE approaches as compared to MLR model was assessed for modeling diagnostic measures. All methods provided unbiased estimates of diagnostic measures in the absence of any covariate. LR and GEE methods produced more biased estimates as compared to MLR approach especially for small sample size studies. No bias was obtained in predicting sensitivity measure using MLR method for one screening test. Our proposed MLR method is robust for modeling diagnostic measures of a screening test as opposed to LR method. MLR method and GEE method produced similar estimates of diagnostic measures for comparing two screening tests in large sample size studies. The proposed MLR model for diagnostic measures is simple, and available in common statistical software. Our study demonstrates that MLR method should be preferred as an alternative for modeling diagnostic measures.
Źródło:: Statistics in Transition new series; 2015, 16, 2; 203-222
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Research framework for studying driver distraction on Polish city highways
Autorzy:: D'Souza, K. A.
Maheshwari, S. K.
Banaszak, Z. A.
Powiązania:: https://bibliotekanauki.pl/articles/406897.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: accident data analysis
modeling drive distraction
multinomial logistic regression
predicting driver distraction risk
Distraction Risk Index
model validation
Opis:: Analysis of accidents has found driver distraction to be a significant cause of accidents on the highways [1]. Therefore, studying the causes of driver distraction that impact its risk level is needed for a better understanding of accident occurrences. There is general scarcity of research in this field with no established research framework to study driver distractions. This paper proposes a modular research framework for conducting a driver distraction study on Polish city highways. The framework contains guidelines for distraction studies for wide range of cost and time intervals such as a quick, low cost study like analysis of existing accident databases maintained by the cities to relatively higher cost, longer duration study involving field data collection, statistical modeling, and analysis. A city may choose one or more modules to suit their study requirements including statistical and simulation tools to assess and validate the historical or empirical result. The framework is based on the careful modifications and revisions of an earlier transit bus driver study conducted in the Commonwealth of Virginia, U.S.A., and results from this research are presented for purposes of illustration.
Źródło:: Management and Production Engineering Review; 2013, 4, 2; 12-24
2080-8208
2082-1344
Pojawia się w:: Management and Production Engineering Review
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Skłonność do płacenia za dodatkowe usługi zdrowotne – analizy czasowo-przekrojowe
Willingness to Pay For Additional Health Services – Cross-Temporary Analysis
Autorzy:: Jewczak, Maciej
Powiązania:: https://bibliotekanauki.pl/articles/525926.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:: health economics
additional health insurance
willingness to pay
co-payment
logit multinomial regression
spatial autocorrelation
ekonomia zdrowia
dodatkowe ubezpieczenie zdrowotne
skłonność do płacenia
współpłacenie
wielomianowe modele logitowe
autokorelacja przestrzenna
Opis:: The theory of consumer’s choice is nowadays successfully used in the analysis of health economics. Reflections on economical character of health indicate clearly that without adequate support, once characteristic for fields such as: marketing, management, econometrics and economics, it is not possible to make rational decisions within the context of limited resources. The patient – consumer of health services, constantly face with the dilemma of choice regarding to the means of treatment, place of treatment, etc. The main aim of this article is to use multinomial logit modelling as a method for measuring the willingness to pay for medical services. Results of analyses allow identifying the regional differences in levels of selection probabilities and their spatial diversification of different categories of services among Polish subregions. On the basis of measures of global and local spatial autocorrelation it was possible to identify areas, which were favorable/unfavorable to be introduced with the benefit. Keywords: health economics, additional health insurance, willingness to pay, co-payment, logit multinomial regression, spatial autocorrelation.
Teoria wyboru konsumenta jest z powodzeniem stosowana w analizach ekonomii zdrowia. Rozważanianad „ekonomicznością” towaru, jakim jest zdrowie, dają jednoznacznie do zrozumienia, że bez odpowiedniegowsparcia, kiedyś charakterystycznego dla dziedzin takich jak marketing, zarządzanie, ekonometriaczy ekonomia, nie ma możliwości podjęcia racjonalnych decyzji w ramach ograniczonych zasobów.Sam pacjent – konsument usług zdrowotnych nieustannie staje przed wyborami dotyczącymi sposobówleczenia, miejsca leczenia itp.Głównym celem artykułu jest zastosowanie wielomianowego modelowania logitowego jako metodyumożliwiającej pomiar skłonności do płacenia za świadczenia zdrowotne. Rezultaty prowadzonychanaliz umożliwiają wskazanie regionalnych różnic w poziomach prawdopodobieństw wyboru, a całośćzostanie podsumowana analizą przestrzennego zróżnicowania kategorii świadczeń na poziomie polskichpodregionów. Dzięki zastosowaniu mierników globalnej i lokalnej autokorelacji przestrzennej możliwa jestidentyfikacja miejsc sprzyjających wprowadzeniu lub zaniechaniu wprowadzenia danego świadczenia.
Źródło:: Problemy Zarządzania; 2015, 2/2015 (53), t. 2; 150-164
1644-9584
Pojawia się w:: Problemy Zarządzania
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Transport mode choice among off-campus students in a hilly environment: the case of Aizawl, India
Autorzy:: Saitluanga, Benjamin L.
Hmangaihzela, Lal
Powiązania:: https://bibliotekanauki.pl/articles/2203904.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:: transport mode choice
off-campus students
hilly terrain
multinomial logistic regression
wybór środka transportu
studenci spoza kampusu
teren pagórkowaty
wielomianowa regresja logistyczna
Opis:: In recent years, the transport mode choice of students of higher educational institutions has become a subject of increasing interest. Investigating the modal choice of students, who form a considerable section of the population, is crucial for sustainable urban transport planning and understanding the quality of life of students. Reviews of previous studies have indicated that hilly cities in less developed countries are neglected in transportation studies. The present paper investigates the travel behaviour of non-local, off-campus college students in Aizawl – a fast-growing hilly city in northeast India. The study found that transport mode choices are influenced by interrelated factors, including socio-economic background, demographic, availability of transport mode and location of housing. It was also found that walking and public buses are the most preferred modes of commuting among the studied college students. Female students who rent houses near their colleges are more likely to walk than their male counterparts. On the other hand, male students belonging to high-income families tended to travel by private vehicles from their residences, which are located relatively far away from colleges. The study argues for the enhancement of the intake capacity of residential hostels inside the campus to improve the growing transport problem of off-campus students in the city.
Źródło:: Transport Problems; 2022, 17, 3; 163--172
1896-0596
2300-861X
Pojawia się w:: Transport Problems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Utilizing crash and violation data to assess unsafe driving actions
Autorzy:: Rezapour Mashhadi, M. M.
Wulff, S. S.
Ksaibati, K.
Powiązania:: https://bibliotekanauki.pl/articles/2140833.pdf
Data publikacji:: 2017
Wydawca:: Fundacja Centrum Badań Socjologicznych
Tematy:: No Improper driving
improper lane change
drive too fast for conditions
violation
citation
enforcement
Traffic Safety
road safety
Multinomial logistic regression
vehicle maneuver
point of impact
Opis:: Wyoming has one of the highest crash rates in the United States and a higher fatality rate than the U.S. average. These high rates result from many factors such as the high traffic through I-80 and the mountainous areas of Wyoming. This study employed two approaches to study contributory factors to crashes in the most hazardous interstate, I-80, in Wyoming by employing crash and citation data sets. Different factors may contribute to different driver actions so it is important to consider these crash causes separately. Thus, multiple logistic regression models were used in this study to examine the differences in crash-contributing factors for three driver actions: driving too fast for conditions, improper lane change, and no improper driving. These driver actions account for about 70% of all the crash causes on this interstate. The same violations as the two driver actions, improper lane change and driving too fast for conditions, account for 42% of all the crashes. The literature has indicated that previous violations can be used to predict future violations, and consequently crashes. Therefore, these violations were identified to detect the groups that are at higher risk of involvement in crashes. The analyses indicated that there are substantial differences across different driver actions for crash and violation data. For instance, not-dry-surface conditions increased the estimated odds of driving too fast for conditions 33 times while it decreased the risk of no improper driving by an estimated 250%. Crash severity, number of vehicles, vehicle maneuver, point of impact, driver condition, and speed compliance also impacted different driver actions differently. The results of violation analyses revealed that the interaction between types of vehicle and various variables were significant. For instance, nonresident truck drivers were more likely to violate all types of risky violations, which increased the estimated odds of crashes, compared with resident truck drivers. Recommendations based on the results are provided for policy makers to reduce high crash rate in the state.
Źródło:: Journal of Sustainable Development of Transport and Logistics; 2017, 2, 2; 35-46
2520-2979
Pojawia się w:: Journal of Sustainable Development of Transport and Logistics
Dostawca treści:: Biblioteka Nauki

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