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Tytuł:
Determinants of food security among rural households in Nigeria: USDA food insecurity experience based measurement (forms) approach
Autorzy:
Aboaba, Kazeem
Fadiji, Damilare Michael
Hussayn, Jamiu Ayomide
Powiązania:
https://bibliotekanauki.pl/articles/1892077.pdf
Data publikacji:
2020-07-08
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
Food, food security, food insecurity, USDA, multinomial logit
Opis:
This study was carried out to estimate the extent of food security and its determinants among rural households in Nigeria. Data for this study was obtained from 180 rural households consisting of 1260 members through the use of a structured questionnaire. Data was analyzed with a descriptive technique and a less restrictive multinomial logistic regression model. The result found most rural households to be food insecure as they measure high on the food insecurity scale. Age, gender, marital status, access to credit, dependency ratio, household size, ownership of farmland and farming experience significantly influence food security categories. The study concluded that: female-headed married households were more food secure than male-headed households; an increase in age of household heads makes it more likely to be food secure, and so does access to credit facilities; conversely, an increase in family size and in the dependency ratio makes it less likely to be food secure. The study recommends that there should be provision and proper monitoring of credit facilities to small farmers in other to increase their scale of operation and improve their food security status. Also, adequate attention should be given to policy measures that address family planning in order to reduce the household size to a level the household heads can adequately cater for.
Źródło:
Journal of Agribusiness and Rural Development; 2020, 56, 2; 113-124
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of income generating activities among forest fringe communities in cross rivers state of Nigeria
Autorzy:
Awe, Femi
Powiązania:
https://bibliotekanauki.pl/articles/1879407.pdf
Data publikacji:
2021-10-13
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
livelihood
forest
on-farm
multinomial
Cross River
Opis:
This study assessed the different income generating activities as well as factors that influenced choice of such activities among forest communities in Cross Rivers State of Nigeria. One hundred copies of structured questionnaire were used to obtain information from respondents in the study area. Two Local Government Areas (LGAs) were purposively selected for the study, due to their agrarian and forest-based nature. Five communities were then randomly selected from each of the LGAs and ten copies of questionnaire were randomly administered in each community. Both descriptive statistics such as frequencies and percentages as well as inferential statistics such as Multinomial Logistic Regression were used in the study. From the study, it was discovered that the average household size, age, farm size and household income were 4; 36.5; 1.75Ha and N39, 330 respectively. It was also observed that the respondents engaged in different income generating activities which are then categorized into On-farm only activities, Non-farm only activities as well as Non-farm+ On-farm activities. Thirty-seven percent (37%) of the respondents engaged in only farming activities with only 20% of them engaging in non-farm activities alone; while 43% of the respondents combine farm activities with non-farm activities. The results of the Multinomial Logistic Regression show that age, educational qualification, access to extension services, total household monthly income, farming experience, farm size as well as availability of forest were variables that significantly influenced the respondents’ choice of livelihood strategies at 5% level of significance.
Źródło:
Journal of Agribusiness and Rural Development; 2021, 61, 3; 307-314
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modal split analysis by best-worst method and multinominal logit model
Autorzy:
Cingel, Michal
Drliciak, Marek
Celko, Jan
Zabovska, Katarína
Powiązania:
https://bibliotekanauki.pl/articles/27314072.pdf
Data publikacji:
2023
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
mobility survey
modal split
multinomial logit model
best worst method
badanie mobilności
podział zadań
wielomianowy model logitowy
najlepsza najgorsza metoda
Opis:
The behavioral features of the population are addressed in transport models by different levels of territorial disaggregation and the creation of demand strata in a territory. The need for input data grows exponentially with the demand for a detailed zonal system of the territory. The basic source is the mobility survey. This article deals with the comparison of the calculation of the probability of choosing a transport mode for trips using the classic multinominal logit model and the best-worst method. We used data from a mobility survey in the Žilina region as a basic sample. The analysis covered 11 districts and their gravity areas. The individual transport relations are evaluated in detail in the analysis. The results confirm the high degree of accuracy of the best-worst method in the calculation of mode choice on a regional scale. Despite the promising results of the agreement in the confrontation with the mobility survey, it is necessary to verify the modeled data with a more detailed area with disaggregation on-demand strata.
Źródło:
Transport Problems; 2023, 18, 1; 55--65
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact assessment of short-term management measures on travel demand
Autorzy:
D'Cruz, Jinit J.M.
Alex, Anu P.
Manju, V. S.
Peter, Leema
Powiązania:
https://bibliotekanauki.pl/articles/223500.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
public transportation
travel demand management
four stage model
linear regression
modal shift
multinomial logit model
transport publiczny
zarządzanie podróżą
przesunięcie modalne
Opis:
Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributing the demand rather than increasing the supply. To analyze the impact of TDM measures, the existing travel demand of the area should be identified. In order to get quantitative information on the travel demand and the performance of different alternatives or choices of the available transportation system, travel demand model has to be developed. This concept is more useful in developing countries like India, which have limited resources and increasing demands. Transport related issues such as congestion, low service levels and lack of efficient public transportation compels commuters to shift their travel modes to private transport, resulting in unbalanced modal splits. The present study explores the potential to implement travel demand management measures at Kazhakoottam, an IT business hub cum residential area of Thiruvananthapuram city, a medium sized city in India. Travel demand growth at Kazhakoottam is a matter of concern because the traffic is highly concentrated in this area and facility expansion costs are pretty high. A sequential four-stage travel demand model was developed based on a total of 1416 individual household questionnaire responses using the macro simulation software CUBE. Trip generation models were developed using linear regression and mode split was modelled as multinomial logit model in SPSS. The base year traffic flows were estimated and validated with field data. The developed model was then used for improving the road network conditions by suggesting short-term TDM measures. Three TDM scenarios viz; integrating public transit system with feeder mode, carpooling and reducing the distance of bus stops from zone centroids were analysed. The results indicated an increase in public transit ridership and considerable modal shift from private to public/shared transit.
Źródło:
Archives of Transport; 2020, 53, 1; 37-52
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mode choice analysis of school trips using random forest technique
Autorzy:
D'Cruz, Jinit J.M.
Alex, Anu P.
Manju, V. S.
Powiązania:
https://bibliotekanauki.pl/articles/2173923.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
city transport
Multinomial Logit model
analysis of the travel model
school trips
peak hour traffic
commuting to schools
transport miejski
analiza trybu przejazdów
przejazdy do szkół
ruch w godzinach szczytu
Opis:
Mode choice analysis of school trips becomes important due to the fact that these trips contribute to the second largest share of peak hour traffic. This scenario is more relevant in India, which has almost 265 million students enrolled in different accredited urban and rural schools of India, from Class I to XII as per the UDISE report of 2019-20. Thus, it becomes necessary to understand what mode of transport will be mostly used for school trips in order to design an efficient transportation system. Modal attributes and socio-economic characteristics are mostly considered as explanatory variables in travel mode choice models. Multinomial Logit (MNL) model is one of the classic models used in the development of mode choice models. These logistic regression models predict outcomes based on a set of independent variables. With the recent advances in machine learning, transportation problems are getting a wide arena of methods and solutions. Among them the method of ensemble learning is finding a prominent place in contemporary modelling. This study explores the potential of using ensembles of random decision trees in mode choice analysis by Random Forest Technique with a comparative analysis on conventional method. It was observed that Random Forest method outperforms MNL method in predicting the mode choice preference of students. The high accuracy of machine learning models is mainly due to its ability to consider complex nonlinear relationship between socio-economic attributes and travel mode choice. These models can learn and identify pattern characteristics extracted from sample data and form adaptive structures through computational process thereby offering insights into the relationships between variables that random utility models cannot recognize. This study considered activity -travel information, personal data and household characteristics of students as attributes for model development and observed that the age of the student and distance of school from home plays a significant role in deciding the mode choice of school trips.
Źródło:
Archives of Transport; 2022, 62, 2; 39--48
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
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
Artykuł
Tytuł:
Analiza czynników determinujących reakcję na zaistnienie problemu prawnego przy użyciu wielomianowego modelu logitowego
Analysis of factors determining the reaction to a legal problem using a multinomial logit model
Autorzy:
Florczak, Waldemar
Grabowski, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/543137.pdf
Data publikacji:
2018-01-28
Wydawca:
Główny Urząd Statystyczny
Tematy:
problem prawny
porady prawne
wielomianowy model logitowy
legal problem
legal counselling
multinomial logit model
Opis:
Celem opracowania jest zidentyfikowanie i skwantyfikowanie wpływu czynników determinujących sposób działania wobec wystąpienia problemu prawnego. Na podstawie przeglądu literatury opracowano listę takich czynników, a następnie na podstawie danych pochodzących z ogólnopolskiego badania ankietowego przeprowadzonego w 2012 r. przez Instytut Spraw Publicznych (ISP) w Warszawie oszacowano parametry strukturalne wielomianowego modelu logitowego. Z badania wynika, że decyzja co do sposobu postępowania prawnego zależy przede wszystkim od rodzaju doświadczanego problemu, jego rangi, postaw wobec prawa oraz kilku innych cech socjoekonomicznych dotkniętych nim osób. Wyniki badania pokazują również, że ograniczenia popytu na usługi poradnictwa prawnego z tytułu niskich dochodów nie są znaczące, ważniejszą barierą jest natomiast przestrzenna dostępność usług poradniczych.
The aim of the study is to identify and quantify the influence of factors determining the reaction to the occurrence of a legal problem. On the basis of literature review, a list of such factors was prepared and, subsequently, on the basis of data from the national survey conducted by the Institute of Public Affairs (IPA) in Warsaw in 2012, structural parameters of the multinomial logit model were estimated. The research presents that a decision on the legal problem depends primarily on the type of experienced issue, its importance, attitudes towards law and several other socio-economic features which influenced people. Moreover, the research outcomes show that reductions in demand for legal counselling caused by the low income are not significant, whereas, spatial availability appears to be a more important barrier.
Źródło:
Wiadomości Statystyczne. The Polish Statistician; 2018, 63, 1; 57-76
0043-518X
Pojawia się w:
Wiadomości Statystyczne. The Polish Statistician
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Generating Correlated Pseudo-Random Binary Numbers
O generowaniu skorelowanych binarnych liczb pseudolosowych
Autorzy:
Gamrot, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/906865.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Random number generator
multinomial distribution
two-point distribution
expectation
Opis:
The paper is devoted to the problem of generating sequences of binary vectors having joint distribution allowing for correlation between individual elements. A procedure for generating such a distribution from uncorrelated binary and multinomial pseudo-random data is proposed. Certain properties of the proposed procedure are examined in the simulation study.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 269
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling the occupational and educational choices of young people in Poland using Bayesian multinomial logit models
Autorzy:
Grzenda, Wioletta
Powiązania:
https://bibliotekanauki.pl/articles/1827554.pdf
Data publikacji:
2021-09-06
Wydawca:
Główny Urząd Statystyczny
Tematy:
young people
labour market
education
multinomial logit model
Bayesian approach
Opis:
Binomial logit models are commonly used in the analysis of the situation of respondents on the labour market. Consequently, in most cases researchers consider two states: of being unemployed and employed or economically inactive and active. This paper focuses on the situation of young people aged 18 to 29 on the labour market in Poland. A major part of the people who comprise the studied group are still in education or combine education with work. Therefore, the participants of the research were divided into the following groups: the employed and not learning, those combining education with work, the unemployed, learners/students only, and those economically inactive and not at school. The model allowing an analysis which includes both the most common division into working and nonworking persons as well as the division proposed in this study is a nested logit model. This model has a hierarchical structure and is a special case of a multinomial logit model. In this paper, all models were estimated within the Bayesian approach. The findings show that continuing education by young people may result from their problems with finding a job; moreover, combining work with education is not the preferred form of professional activity. In addition, the study examines the inequalities observed on the Polish labour market.
Źródło:
Statistics in Transition new series; 2021, 22, 3; 175-191
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
THE USEFULNESS OF MULTINOMIAL LOGIT MODELS IN EXAMINING THE RELATIONSHIP BETWEEN THE OWNERSHIP FORM OF AGRICULTURAL ENTERPRISES AND THEIR FINANCIAL-ECONOMIC RESULTS
Autorzy:
Jabłonowski, Stanisław
Kluza, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/453415.pdf
Data publikacji:
2009
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
agricultural enterprises
ownership forms
economical effectiveness indicators
multinomial logit models
Opis:
From the year 1994 onwards, the magazine "Nowe Życie Gospodarcze" has been publishing financial-economical data of the best three hundred agricultural enterprises selected from groups of such enterprises that had chosen to participate. Makers of these lists have taken into account enterprises which have come into being from the property of state treasury in the nineteen nineties. The present paper takes up the problem of utilizing (to a rather limited extent) of multinomial logit models for studying the relation between the ownership form of agricultural enterprises and some financial-economic characteristics, describing economic effectiveness.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2009, 10, 1; 107-120
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some remarks on horizontal, slant, parabolic and polynomial asymptote
Autorzy:
Janaszak, Tadeusz
Powiązania:
https://bibliotekanauki.pl/articles/421322.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Horizontal asymptote
slant asymptote
parabolic asymptote
cubic asymptote
multinomial asymptote
rational function
Opis:
In the teaching of calculus, we consider horizontal and slant asymptote. In this paper the idea of asymptote of function is expanded to polynomials. There are given formulas of coefficients of the multinomial asymptote of the function and some examples of parabolic and cubic asymptote.
Źródło:
Didactics of Mathematics; 2013, 10(14); 45-56
1733-7941
Pojawia się w:
Didactics of Mathematics
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
Tytuł:
SPATIAL DISTRIBUTION OF WILLINGNESS TO PAY FOR HEALTH SERVICES OF HOUSEHOLDS IN POLAND
Autorzy:
Jewczak, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/655803.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
willingness to pay
spatial diversity
health care
multinomial logit model
cluster analysis
Opis:
The purpose of this article is to demonstrate the spatial distribution of willingness to pay for health services of households in Poland, on the example of voluntary health insurance. With the ability to identify a household in the databases of the Social Diagnosis, on the basis of which the research was conducted and with the use of multivariate analysis techniques, the article indicates the similarities in household structure in terms of the willingness to pay, as well as the socio-economic factors.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2014, 3, 302
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Minimax Prediction for the Multinomial and Multivariate Hypergeometric Distributions
Autorzy:
Jokiel-Rokita, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/1338961.pdf
Data publikacji:
1998
Wydawca:
Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:
multinomial distribution
Bayes estimation
multivariate hypergeometric distribution
minimax estimation
Bayes risk
minimax predictor
Opis:
A problem of minimax prediction for the multinomial and multivariate hypergeometric distribution is considered. A class of minimax predictors is determined for estimating linear combinations of the unknown parameter and the random variable having the multinomial or the multivariate hypergeometric distribution.
Źródło:
Applicationes Mathematicae; 1998-1999, 25, 3; 271-283
1233-7234
Pojawia się w:
Applicationes Mathematicae
Dostawca treści:
Biblioteka Nauki
Artykuł

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