Subjects -> MATHEMATICS (Total: 1013 journals)
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    - PROBABILITIES AND MATH STATISTICS (113 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 11)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 7)
Applied Medical Informatics     Open Access   (Followers: 11)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 4)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 3)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 2)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 7)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 4)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 4)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 4)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access  
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 1)
Nepalese Journal of Statistics     Open Access  
North American Actuarial Journal     Hybrid Journal   (Followers: 1)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 2)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

Similar Journals
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Journal of Social and Economic Statistics
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2285-388X
Published by Sciendo Homepage  [370 journals]
  • Pedagogy and Student Learning Outcomes in Elementary Schools in Rural
           India: A Quasi-Experimental Approach

    • Abstract: The purpose of this paper is to explore the impact of effective teaching methods on learning outcomes in elementary schools in rural India. Particularly, this paper studies an innovative learning enhancement program called “Parrho Punjab” launched in 2007 in the Indian state of Punjab. Using cross-sectional data, the effect of the “Parrho Punjab” program on third to fifth grade children’s learning levels in basic mathematics is evaluated. This study develops combined research designs of propensity score matching technique and the difference-in-differences (DID) method. In a first step, propensity score matching technique is applied to create a synthetic control group that is as similar as possible to the treatment group in terms of pre- “Parrho Punjab” characteristics. The difference-in-differences approach is then used to estimate the effect of the program on third to fifth grade children’s learning outcomes in basic mathematics. The results indicate a positive and significant effect of the program on children’s learning outcomes in basic mathematics, underscoring the importance of effective pedagogy in enhancing learning outcomes. Combining propensity score matching with the difference-in-differences approach, this study addresses the problem of unmeasured confounding. The DID approach will produce misleading conclusions in the presence of bias due to unmeasured confounders. To the best of my knowledge, previous studies using a DID method for examining the impact of effective teaching strategies on student learning outcomes in India have not made such attempts to address the problem of confounding bias.
      PubDate: Thu, 02 Dec 2021 00:00:00 GMT
       
  • Remittances and Economic Growth in Niger: An Error Correction Mechanism
           Approach

    • Abstract: Migration has for a long time been a significant source of revenue for a huge number of persons in the Republic of Niger. In order to improve their families living condition, a great number of young people in Niger follow the migration path. In 2019, a total of 293 million U.S. dollars has been sent by migrants to their family members in Niger (World Bank, 2019), that is 3% of Niger GDP. The study used various time series econometric techniques including unit root test, Engle-Granger cointegration test, vector equilibrium correction method and some diagnostic tests on the residuals to inspect the connection between remittances and economic growth in Niger. The empirical results showed that there is the existence of a long run relationship between remittances and economic growth in Niger. The error correction term’s coefficient shows that about 51.62% of the discrepancy between long run and short run is corrected with a yearly data suggesting an acceptable rate of adjustment to equilibrium. Also, in the short run ceteris paribus a 10% increase in the remittances would lead to 2.03% increase in Niger Gross Domestic Product.
      PubDate: Thu, 02 Dec 2021 00:00:00 GMT
       
  • The Brand Effect: A Case Study in Taiwan Second-Hand Smartfhone Market

    • Abstract: Since the smartphone market is an oligopoly market structure, consumer purchase intention is usually driven by brand preference. This research analyses the customer-to-customer market of second-hand smartphones, pointing out how the brand factor affects the consumers’ purchasing behaviour. It is found that the recovery value and life cycle of Apple smartphones are higher and longer than those of other brands. Moreover, the recovery value of other brand smartphones is significantly driven by the debut date of the Apple smartphones, implicitly forming a consumption cycle. In addition, through machine learning models, the predictability for the recovery value is able to reach 93.55%.
      PubDate: Thu, 02 Dec 2021 00:00:00 GMT
       
  • Motivations of Young Consumers to Participate to Collaborative Consumption

    • Abstract: Collaborative consumption is currently an exciting topic of interest for many debates and controversies being perceived as a fast-growing social phenomenon. Considering the contemporary development processes via sharing economy, there is an interest to prove that the segment of young consumers practices changed from traditional buying and owning behaviour to collaborative consumption stratagems. Thus, the central objective of the present study is to explore the potential young consumer behaviour adjustments and to discuss the motivations behind those changes by considering the emergence of collaborative consumption.The primary hypothesis of the present article states that intrinsic and extrinsic motivations influence teenager’s attitudes and behavioural intentions regarding participation in collaborative consumption.Regarding the methodology, the author’s performed confirmatory factor analysis and structural equation modelling. The objective was to determine if previously exposed motivational factors influence positively the young consumer’s behavioural intention and their attitude towards a supposed adherence to collaborative consumption schemes.
      PubDate: Thu, 31 Dec 2020 00:00:00 GMT
       
  • What Triggers Poverty of Young Nationals and Young Migrants' A
           Comparative Macroeconomic Approach

    • Abstract: Identifying the macro-economic determinants of poverty is a key concern for developing poverty reduction policies. Since young people and young migrants in particular are more exposed to poverty, establishing the factors that trigger poverty among these social categories has even more relevance. A preliminary analysis shows that significant differences exist between at-risk-of poverty or social exclusion rate of young migrants and young nationals across European countries. For a more thorough study of the reasons behind these differences in poverty rates between young migrants and young nationals, two panel data regression models are estimated on a cross-section of 23 countries over the period 2010 – 2018 (one model for young migrants, the other for young nationals). Results confirm the main theories in the specialty literature: unemployment and inequality (measured by the Gini index) are the main triggers of poverty or social exclusion both for young nationals and young migrants. However, the income is significant for reducing poverty only for young nationals, but not for the young migrants. This result reinforces the necessity of better integration policies for young migrants in richer Member States.
      PubDate: Thu, 31 Dec 2020 00:00:00 GMT
       
  • Assessing MSMEs Growth Through Rosca Involvement Using Paired t-Test and
           One Sample Proportion Test

    • Abstract: In this research work, rotating savings and credit association (ROSCA) effect on the growth of micro, small and medium enterprises (MSMEs) and identification of a factor supporting the continuity of ROSCAs is studied. A well-designed questionnaire with a reliability value of 0.957 was distributed to 400 entrepreneurs in Wukari through snowball sampling technique. After validity check, 368 valid questionnaires were used for the research. Firstly, a paired t-test was applied to know if entrepreneurs achieve significant positive growth in their business before and after 5 years of joining ROSCAs. At 5% level of significance, entrepreneurs achieved significant positive growth in their businesses 5 years and above of joining ROSCAs. Secondly, a one sample proportion Z-score test was used to identify the major factor responsible for ROSCAs continuity. At 5% significance level, flexibility was identified as the major factor responsible for ROSCAs. It was concluded based on the results obtained that ROSCAs has a significant positive effect on the growth of MSMEs and ROSCAs continuity towards MSMEs growth is due to its flexibility factor in terms of operations, disbursement, seeking loans and interest rate.
      PubDate: Thu, 31 Dec 2020 00:00:00 GMT
       
  • Generalized Classes of Estimators for Population Mean, Ratio and Product
           Using Rank of Auxiliary Character Under Double Sampling the
           Non-Respondents

    • Abstract: In the present study, generalized classes of estimators for estimating population mean, ratio and product of two population means using rank of auxiliary character in presence of non-response are proposed. The bias and mean square error of proposed classes of estimators are obtained and their performances examined. Specific conditions under which the members of proposed classes of estimators attain minimum mean square error are obtained. Comparative study of the proposed classes of estimators with the relevant estimators is carried out. An empirical study is given to justify the efficiency of the proposed classes of estimators.
      PubDate: Thu, 31 Dec 2020 00:00:00 GMT
       
  • Evidence Based Relationship Between Healthcare Infrastructure and
           Nosocomial Infections in Romania

    • Abstract: We investigate the regional dynamic of nosocomial infections in Romanian hospitals, and find potential predictors. Our data covers 13 years, and refer to the incidence of nosocomial infections for each of the 42 Romanian administrative units every year. A preliminary cluster analysis reveals that there is heterogeneity across counties both in terms of average, and variability of nosocomial infections incidence. The heterogeneity can be explained to an important degree by the local level of healthcare infrastructure, urbanization rate and economic development. Supporting programs and clear standards for quality assurance must accompany the investment in health infrastructure, and the development of new out – care units should be prioritized
      PubDate: Thu, 17 Dec 2020 00:00:00 GMT
       
  • Quantifying the Effects of Climate Change on Crop Production

    • Abstract: This study attempts to analyze the impact of climate change on crop production using household consumption survey collected by the national institute of statistics and data imported from the department of statistics of ministry of agriculture and rural development. The main research question is: what is the relationship between climate change and crop production' Methodologically, used is made of instrumental variable and control function models to compute for the data. We realized that to a lesser extent climate change has an effect on agricultural production and more of a fishing phenomenon. In terms of policy, mainstreaming climate change adaptation into national development strategy and budgets could promote proactive engagement on the formulation and implementation of climate change adaptation strategy; this is a wise step towards increasing crop production and malnutrition reduction.
      PubDate: Thu, 17 Dec 2020 00:00:00 GMT
       
  • Mortality Phenomenon Analysis on Adult Population Under the Influence of
           Economic Factors in European Context

    • Abstract: The mortality rate is a global indicator that reflects the standard of living and the population health condition, but also a variable that shows the social-economic development of a society. This paper proposes the investigation of some economic conditions and their influence on mortality by literature reviewing and also through a statistic analysis based on 28 European Union countries.In order to study the tendencies of this phenomenon, it was analyzed the influence of some economic factors like the GDP per capita, income discrepancies, inflation rate, budget deficit and also the “snowball” effect for 16 years (from 2000 to 2016) using a panel regression model with fixed effects. The resulted regression model captures the major changes on a long term of mortality rate trend for the population aged 15 and 65 years.
      PubDate: Thu, 17 Dec 2020 00:00:00 GMT
       
  • Challenging Youth Unemployment Through International Mobility

    • Abstract: Youth unemployment is a challenge in many European countries – especially since the financial crises. Young people face difficulties in the transition from education into employment. This article focuses on young mobile Europeans from six countries (Germany, Hungary, Luxembourg, Norway, Romania and Spain). The research question is whether and to which extent international mobility has an impact on employability and therefore reduces youth unemployment. By using a cluster analysis of personal adaptability, social and human capital and career identity, the importance of mobility experiences for employability is analysed in a recent dataset of 5,272 young (formerly) mobile respondents. Youth mobility is established as a strong characteristic for the employability cluster. Mobility is however not the long-term aim of most of the mobile young people, since most of the mobiles choose to return to their home countries after one or more stays abroad.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • How are European Migrants from the MENA Countries Affected by
           COVID-19' Insights from an Online Survey

    • Abstract: COVID-19 pandemic has affected and still affects many countries in the world, reshaping many of the economic and social activities. Based on the results of an online survey, this paper highlights the perceptions of the way the pandemic has affected one of the most vulnerable categories in a society, migrants. We focus our research on the migrants and refugees from Middle East and North Africa (MENA) countries, living in Europe, as in the recent years and mostly after the migrant crisis in 2015, they are in large numbers in European countries. Using ANOVA models, our results show that unemployed migrants, students but also migrants who find it difficult on present income are most worried about the COVID-19 crisis and fell they will be greatly affected in terms of income and employment by this crisis. Also, women are more worried by COVID-19 than men with respect to the health aspect.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • International Migration and its Socio-Economic Effects in European
           Countries. Editorial Note

    • PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • The Characteristics of Migrant Physicians from Romania

    • Abstract: An important part of migration represents the brain drain, especially the migration of physicians. Romania has a health system in continuous reform, facing for over 3 decades a shortage of employees. Moreover, employed specialists and young physicians migrated, the health care system registering a medium efficiency. The number of migrant physicians from Romania followed an ascending trend, and this had negative consequences on Romanian population health. The main objective of this paper is identifying the profile and the dynamics of the migrant physician from Romania. Other objective is highlighting the Romanian counties where most physicians migrated from and the preferred destination countries.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • The Effects of Highly-Educated Immigrants on Innovation in Three Developed
           European Countries

    • Abstract: In the current globalized world, migration represents a topic of great interest, generating advantages and downsides as well, both for the people and the communities implicated. Highly-educated migrants represent a key factor in fostering innovation, productivity and economic growth, and promote knowledge diffusion/distribution in both directions, from origin to destination country and vice versa. This research investigates the effects of highly-educated immigrants on the number of patents (a good proxy for measuring innovation activities), in the case of Austria, Finland and Sweden, between 2011 and 2017. For the empirical analysis of the study case, we used panel data and developed a multiple linear regression model estimated through the ordinary least squares method (OLS), at the country-level. In line with the vast existing literature, the main finding of this paper is that highly-educated immigrants, representing external factors of innovation, have a positive and significant impact on the number of patent applications in all three receiving countries. Moreover, financial support in R&D (in different sectors) and investments in human capital (from diverse fields) serve as internal factors of innovation and also contribute vastly to the enhancement of innovation.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • Explaining Recent Romanian Migration: A Modified Gravity Model with Panel
           Data

    • Abstract: The present paper contributes to studies on Romanian emigration from a demographic, spatial, and temporal perspective. The purpose of this paper is to assess the selected economic and demographic variables’ impact on the volume of Romanian emigration to the European Union (EU) during 2010-2017. The analysis was done using a gravity model. The models used in this study are the fixed effect model (FEM) and the random effect model (REM), both applied to panel data. The results show that the economic and demographic factors have a significant influence on the emigration’s destination, and the socio-economic and demographic situation in the host country determines the flow migration from Romania. The paper strengthens the literature through an empirical analysis of the economic and demographic determinants of Romanian emigration to the EU from the perspective of the country of origin.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • The Relationship Between Sustainable Development Goals and Migration. An
           EU-28 Perspective

    • Abstract: This study approaches migration from the perspective of an effect of the attainment of Sustainable Development Goals. In order to analyse this relationship, several indicators used to measure the SDGs attainment level were employed. These indicators are also the ones related to migration. The results show that most indicators that are used to measure the achievement of SDGs have an impact on the migration flow. Consequently, GDP per capita and unemployment rate, as main indicators used to measure the Goal 8 (Sustainable economic growth, productive employment and decent work for all), have significant impact on migration, being main factors of immigration.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • Life Satisfaction and Migration - What Relationship'

    • Abstract: The aim of the paper is to empirically assess if immigrations is a potential predictor of life satisfaction in European countries, considering also other socio-economic determinants. For this purpose, we are using data from the European Quality of Life Survey 2016 implemented by Eurofound. Our results show that immigration, measured here by migrants born in another country, has a net positive impact on subjective well-being, and strictly in this context, migration does not prove to be a threat on well-being. Also, the results suggest that immigration leads to well-being in different ways, more precisely it seems to support a better quality of life for the more privileged and not so much for the less privileged. The statistical and econometrical evaluation of the conection between life satisfaction and other determinants, grouped in categories such as demographical, socio-professional, economical highlights a series of general and specific influences. Subjective well-being, representing eudaimonic well-being, is positively associated with an improvement in the areas of life satisfaction, especially with the standard of living and family life. We also identified positive influence on life satisfaction, in relation to aspects such as the freedom to decide how to live, the efforts made to have a better life or individuals’ own optimism. A very important aspect is a good health, a reduced risk of psychological depression and chronic physical and mental problems.
      PubDate: Wed, 12 Aug 2020 00:00:00 GMT
       
  • A Causal Relationship Between Trade, Foreign Direct Investment and
           Economic Growth in Niger

    • Abstract: Foreign direct investment and Trade were regarded as an important elements in enhancing economic development. This study used some time series econometric tests including the Augmented Dickey – Fuller (ADF) unit root test developed by Dickey – Fuller, stationary test developed by Kwiatkowski-Philips-Schmidt-Shin (KPSS), Johansen co-integration test and Granger causality test to analyse the connection between foreign direct investment, trade and economic growth in Niger. The tests results showed a bilateral relationship between trade and economic growth and a unidirectional causal relationship between trade and foreign direct investment with direction from trade to foreign direct investment. The long run effect tests revealed that trade has a positive effect on economic growth while foreign direct investment has a negative effect on economic growth in Niger. On average, ceteris paribus, the coefficients are statistically significant at 5% level.
      PubDate: Sat, 01 Feb 2020 00:00:00 GMT
       
  • Detecting Anomalous Data in Household Surveys: Evidence for Argentina

    • Abstract: This paper advances in the detection of anomalous data in income reports of Argentina. In particular, income declared by households surveyed in the Encuesta Permanente de Hogares (EPH, Permanent Household Survey in English) -for the period 2003-2017- and in the Encuesta Anual de Hogares Urbanos (EAHU, Annual Urban Household Survey in English) -for the period 2010-2014- are analyzed.
      PubDate: Sat, 01 Feb 2020 00:00:00 GMT
       
 
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