Using panel data collected from the CSO for thirty two states and UTs of India for the recent period of 2004-05 to 2013-14 at the constant 2004-05 prices, the present paper highlights the effect of structural change on economic growth. We examine these relationships in an augmented Chenery-Syrquin Model, and test whether the high income states, EAG (Empowered Action Group) States and high densely states have had any structural impact and what type of structural trends have been adopted by the economy in such a high growth period. Results of random effect model show that any increases in the shares of manufacturing sector and industrial sectors (mining and Quarrying, manufacturing and construction) have significant positive effect on economic growth (Income Coefficient), while the patterns of industrial sector has significant positive effects on population density (Size Coefficient). However, the coefficient of population density is insignificant yet positive for manufacturing orientation. These relationships suggest that most densely populated states can achieve economies of scale, resource endowments and scale of domestic demand easily and hence population density plays an important role in the patterns of industrial and manufacturing development. The time trend seems to have significant negative association with industrial orientation and dummy for high income states has significant positive association with service sector and significant negative association with agriculture and manufacturing sectors.
{"title":"Dynamic Patterns of Structural Change and Economic Growth during the High Growth Regime in India: A Panel Data Analysis","authors":"M. R. Singariya","doi":"10.12691/IJEFM-3-2-4","DOIUrl":"https://doi.org/10.12691/IJEFM-3-2-4","url":null,"abstract":"Using panel data collected from the CSO for thirty two states and UTs of India for the recent period of 2004-05 to 2013-14 at the constant 2004-05 prices, the present paper highlights the effect of structural change on economic growth. We examine these relationships in an augmented Chenery-Syrquin Model, and test whether the high income states, EAG (Empowered Action Group) States and high densely states have had any structural impact and what type of structural trends have been adopted by the economy in such a high growth period. Results of random effect model show that any increases in the shares of manufacturing sector and industrial sectors (mining and Quarrying, manufacturing and construction) have significant positive effect on economic growth (Income Coefficient), while the patterns of industrial sector has significant positive effects on population density (Size Coefficient). However, the coefficient of population density is insignificant yet positive for manufacturing orientation. These relationships suggest that most densely populated states can achieve economies of scale, resource endowments and scale of domestic demand easily and hence population density plays an important role in the patterns of industrial and manufacturing development. The time trend seems to have significant negative association with industrial orientation and dummy for high income states has significant positive association with service sector and significant negative association with agriculture and manufacturing sectors.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131273302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main purpose of this paper is to introduce and interpret the relation between governments Annual Development Programme (ADP) and economic growth. ADP traditionally holds the main structure of Bangladesh economy. We consider ADP is the main determinant of Gross Domestic Product (GDP) in Bangladesh and also consider the Gross Capital Formation (GCF) for more reliable results. This paper uses various econometric tools where time series analysis is gained main focus to find out the proper result. According to our result, there is a positive impact of ADP on economic development. Findings point out that keeping the high level of public planning in Bangladesh together with improvement in institutional surroundings would be beneficial for economic growth. It has been widely documented that ADP can promote economic growth, when it is efficiently handled by the authority.
{"title":"Impact of ADP on GDP in Bangladesh: A Cointegration Approach","authors":"M. Uddin, N. Chowdhury, Mudabber Ahmed","doi":"10.12691/IJEFM-3-2-1","DOIUrl":"https://doi.org/10.12691/IJEFM-3-2-1","url":null,"abstract":"The main purpose of this paper is to introduce and interpret the relation between governments Annual Development Programme (ADP) and economic growth. ADP traditionally holds the main structure of Bangladesh economy. We consider ADP is the main determinant of Gross Domestic Product (GDP) in Bangladesh and also consider the Gross Capital Formation (GCF) for more reliable results. This paper uses various econometric tools where time series analysis is gained main focus to find out the proper result. According to our result, there is a positive impact of ADP on economic development. Findings point out that keeping the high level of public planning in Bangladesh together with improvement in institutional surroundings would be beneficial for economic growth. It has been widely documented that ADP can promote economic growth, when it is efficiently handled by the authority.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Article provides an algorithm and defined criteria for the identification of educational clusters in the regional economy, adapted to the Russian reality. Identification of the leading industries as promising regional educational clusters in the economy of Perm Krai conducted on the basis of quantitative Shift-Share analysis and the calculation of the localization coefficient. Statistical base of the research were materials of the central statistical database of the Federal State Statistics Service of the Russian Federation for 2007-2012 years by employment indicators. Qualitative diagnosis of educational clusters allowed to establish the shape and direction of development of strategic partnership in the educational system in the region, to identify the factors of competition. As a result, by applying a set of quantitative and qualitative methods of analysis of cluster, authors found that in the economy of Perm Krai has four potential educational clusters to be formed, the development of which should be a priority of educational policy in the region.
{"title":"Identification of the Educational Clusters in the Regional Economy: Theory, Methodology and Research Results (in Example of Perm Krai)","authors":"Kovaleva T.Yu., V. G. Baleevskih","doi":"10.12691/IJEFM-2-4-7","DOIUrl":"https://doi.org/10.12691/IJEFM-2-4-7","url":null,"abstract":"Article provides an algorithm and defined criteria for the identification of educational clusters in the regional economy, adapted to the Russian reality. Identification of the leading industries as promising regional educational clusters in the economy of Perm Krai conducted on the basis of quantitative Shift-Share analysis and the calculation of the localization coefficient. Statistical base of the research were materials of the central statistical database of the Federal State Statistics Service of the Russian Federation for 2007-2012 years by employment indicators. Qualitative diagnosis of educational clusters allowed to establish the shape and direction of development of strategic partnership in the educational system in the region, to identify the factors of competition. As a result, by applying a set of quantitative and qualitative methods of analysis of cluster, authors found that in the economy of Perm Krai has four potential educational clusters to be formed, the development of which should be a priority of educational policy in the region.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115745849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to investigate short and long run causality between the variable gross domestic product and remittance. The study is based on the estimation of vector error correction model. Testing the unit root and the co-integration is the basic requirement for the estimation of vector error correction model. Further, it also has estimated remittance elasticity using ordinary least square method. The finding reveals that the contribution of remittance in gross domestic product is only 0.07%. It means a 1% change in remittance will change the gross domestic product by only 0.07%. It indicates that the remittance what Nepal received from its migrants is being consumed, not saved and invested in the productive sector that can create gainful employment to the generation to come. Evidence has not support the hypothesis of remittance causes gross domestic product in the long run but there is strong evidence about the short run causality running from remittance to gross domestic product. But opposite is true in reverse order. Gross domestic product causes remittance in both short and long run.
{"title":"Does Remittance in Nepal Cause Gross Domestic Product? An Empirical Evidence Using Vector Error Correction Model","authors":"K. Dhungel","doi":"10.12691/IJEFM-2-5-1","DOIUrl":"https://doi.org/10.12691/IJEFM-2-5-1","url":null,"abstract":"This study aims to investigate short and long run causality between the variable gross domestic product and remittance. The study is based on the estimation of vector error correction model. Testing the unit root and the co-integration is the basic requirement for the estimation of vector error correction model. Further, it also has estimated remittance elasticity using ordinary least square method. The finding reveals that the contribution of remittance in gross domestic product is only 0.07%. It means a 1% change in remittance will change the gross domestic product by only 0.07%. It indicates that the remittance what Nepal received from its migrants is being consumed, not saved and invested in the productive sector that can create gainful employment to the generation to come. Evidence has not support the hypothesis of remittance causes gross domestic product in the long run but there is strong evidence about the short run causality running from remittance to gross domestic product. But opposite is true in reverse order. Gross domestic product causes remittance in both short and long run.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127333263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to investigate the short and long run equilibrium between the electricity consumption and foreign aid of Nepalese economy during 1974-2012. Unit root test, co-integration test and finally error correction model are the econometric tools to establish the relationship between electricity consumption and foreign aid. In addition to this ordinary least square method is used to find out the foreign aid elasticity and spurious regression. The findings reveal that the variables are non-stationary at their level and they become stationary in their first difference. There are two co-integration equations showing the long run relationship between electricity consumption and foreign aid. There is short and long run equilibrium as indicated by the statistically significant coefficient of foreign aid and error correction term. The long run elasticity coefficient reveals that the 1% change in foreign aid will change the electricity consumption by 0.46%. The results of ECM indicate that there is both short and long run equilibrium in the system. The coefficient of one period lag residual is negative and significant which represent the long run equilibrium. The coefficient is -0.336 meaning that system corrects its previous period disequilibrium at a speed of 33.6% annually to reach at the steady state.
{"title":"Estimation of Short and Long Run Equilibrium Coefficients in Error Correction Model: An Empirical Evidence from Nepal","authors":"K. Dhungel","doi":"10.12691/IJEFM-2-6-1","DOIUrl":"https://doi.org/10.12691/IJEFM-2-6-1","url":null,"abstract":"This study aims to investigate the short and long run equilibrium between the electricity consumption and foreign aid of Nepalese economy during 1974-2012. Unit root test, co-integration test and finally error correction model are the econometric tools to establish the relationship between electricity consumption and foreign aid. In addition to this ordinary least square method is used to find out the foreign aid elasticity and spurious regression. The findings reveal that the variables are non-stationary at their level and they become stationary in their first difference. There are two co-integration equations showing the long run relationship between electricity consumption and foreign aid. There is short and long run equilibrium as indicated by the statistically significant coefficient of foreign aid and error correction term. The long run elasticity coefficient reveals that the 1% change in foreign aid will change the electricity consumption by 0.46%. The results of ECM indicate that there is both short and long run equilibrium in the system. The coefficient of one period lag residual is negative and significant which represent the long run equilibrium. The coefficient is -0.336 meaning that system corrects its previous period disequilibrium at a speed of 33.6% annually to reach at the steady state.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129479070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article provides a review of the evolution of scientific concepts on the innovation process. Two main approaches to the innovation process are presented: linear and non-linear, and their distinctive features are defined. Within each approach the main types of models of the innovation process are considered. The stages of formation and development of a linear model of the innovation process are reviewed. Analyzed the influence of various factors on the occurrence of non-linear models of the innovation process. Highlighted the advantages and disadvantages of linear and non-linear approaches to the development of models of the innovation process. The effect of trends in the localization of the innovation process in the current models of the innovation process are studied. The modeling of the innovation process at the present stage is proposed to be considered as a complex, interactive, nonlinear localized learning process.
{"title":"Evolution of the Innovation Process Models","authors":"Mikhaylova Anna Alekseevna","doi":"10.12691/IJEFM-2-4-1","DOIUrl":"https://doi.org/10.12691/IJEFM-2-4-1","url":null,"abstract":"The article provides a review of the evolution of scientific concepts on the innovation process. Two main approaches to the innovation process are presented: linear and non-linear, and their distinctive features are defined. Within each approach the main types of models of the innovation process are considered. The stages of formation and development of a linear model of the innovation process are reviewed. Analyzed the influence of various factors on the occurrence of non-linear models of the innovation process. Highlighted the advantages and disadvantages of linear and non-linear approaches to the development of models of the innovation process. The effect of trends in the localization of the innovation process in the current models of the innovation process are studied. The modeling of the innovation process at the present stage is proposed to be considered as a complex, interactive, nonlinear localized learning process.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121399610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper re-examines the empirical relationship between financial development and economic growth. The data cover the regressions according to the maximum of 110 countries and at least 10. It includes developing and developed countries. The study period extends from 1973 to 2012. Imports results obtained using the Generalized Method of Moments dynamic panel show that the variable that influence a significant and positive economic growth, whatever the sample is the variable that reflects the level of availability of the banking system. Contrary to that extent the credits granted by the financial system to the private sector, even if significant, has a negative influence on growth. Finally, the measure that reflects the financial deepening of the economy seems to depend positively on economic growth for developing countries and negatively for developed country.
{"title":"Financial Development and Economic Growth: A Dynamic Panel Data Analysis","authors":"Khalil Mhadhbi","doi":"10.12691/IJEFM-2-2-1","DOIUrl":"https://doi.org/10.12691/IJEFM-2-2-1","url":null,"abstract":"This paper re-examines the empirical relationship between financial development and economic growth. The data cover the regressions according to the maximum of 110 countries and at least 10. It includes developing and developed countries. The study period extends from 1973 to 2012. Imports results obtained using the Generalized Method of Moments dynamic panel show that the variable that influence a significant and positive economic growth, whatever the sample is the variable that reflects the level of availability of the banking system. Contrary to that extent the credits granted by the financial system to the private sector, even if significant, has a negative influence on growth. Finally, the measure that reflects the financial deepening of the economy seems to depend positively on economic growth for developing countries and negatively for developed country.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129534692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present research work started with a very simple question: Is there a long run relationship and causality between port performance inputs and port traffic of major ports in India? The study is try to evaluate the long run relationship and causality between port performance inputs and port traffic with the sophisticated panel data models such as unit root, cointegration, error correction model, granger causality, impulse response function and variance decomposition tests of 12 major ports in India over the period of 1993 to 2012. Based on the analysis it is found that there exists long run relationship and causality between port performance inputs and port traffic. The study concluded that the evidence of long run relationship between performance inputs and total traffic, and causality of pre-berthing waiting time and operating expenses unidirectional with port traffic indicate that the major factors influencing port traffic. Over all the results imply that port performance variables that are having the co-integrating relationship with port traffic should be given priority for increasing the port traffic of major ports in India.
{"title":"An Exploration in to the Causal Relationship between Performance Inputs and Traffic of Major Ports in India: A Panel Data Analysis","authors":"T. Rajasekar, Malabika Deo, Rongzhe Ke","doi":"10.12691/IJEFM-2-2-3","DOIUrl":"https://doi.org/10.12691/IJEFM-2-2-3","url":null,"abstract":"The present research work started with a very simple question: Is there a long run relationship and causality between port performance inputs and port traffic of major ports in India? The study is try to evaluate the long run relationship and causality between port performance inputs and port traffic with the sophisticated panel data models such as unit root, cointegration, error correction model, granger causality, impulse response function and variance decomposition tests of 12 major ports in India over the period of 1993 to 2012. Based on the analysis it is found that there exists long run relationship and causality between port performance inputs and port traffic. The study concluded that the evidence of long run relationship between performance inputs and total traffic, and causality of pre-berthing waiting time and operating expenses unidirectional with port traffic indicate that the major factors influencing port traffic. Over all the results imply that port performance variables that are having the co-integrating relationship with port traffic should be given priority for increasing the port traffic of major ports in India.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present paper highlights the trends of economic growth in the economy of Rajasthan and discusses its relative share in the national economy of India. It reviews the trends of year-wise growth rate of per capita net national product in India, per capita net state domestic product for Rajasthan state and per capita net district domestic product for districts of Rajasthan for the period of 2004-05 to 2012-13. It is indicative of the fact that the economy of Rajasthan has registered many ups and downs in the growth trajectory, but the current decade is a period of fair stability and positive growth. Results of Random Effects Model suggest that one percentage point increase in population will be able to increase per capita NDDP by 1.125 percent for twenty nine districts of Rajasthan. District dummies show that higher per capita district domestic product districts like Rajsamand and Jaisalmer have a significant positive association while Jaipur, Alwar, Jodhpur, Barmer, Bharatpur and Sikar have a significant negative association with population. In low fifteen per capita income districts only Nagaur district was observed as negatively and significantly associated with population, while Baran, Bundi and Sirohi have been observed as significantly and positively associated with the population.
{"title":"Trends of Economic Growth and Population Change in Rajasthan: A District Level Panel Data Investigation","authors":"M. R. Singariya","doi":"10.12691/IJEFM-2-1-3","DOIUrl":"https://doi.org/10.12691/IJEFM-2-1-3","url":null,"abstract":"The present paper highlights the trends of economic growth in the economy of Rajasthan and discusses its relative share in the national economy of India. It reviews the trends of year-wise growth rate of per capita net national product in India, per capita net state domestic product for Rajasthan state and per capita net district domestic product for districts of Rajasthan for the period of 2004-05 to 2012-13. It is indicative of the fact that the economy of Rajasthan has registered many ups and downs in the growth trajectory, but the current decade is a period of fair stability and positive growth. Results of Random Effects Model suggest that one percentage point increase in population will be able to increase per capita NDDP by 1.125 percent for twenty nine districts of Rajasthan. District dummies show that higher per capita district domestic product districts like Rajsamand and Jaisalmer have a significant positive association while Jaipur, Alwar, Jodhpur, Barmer, Bharatpur and Sikar have a significant negative association with population. In low fifteen per capita income districts only Nagaur district was observed as negatively and significantly associated with population, while Baran, Bundi and Sirohi have been observed as significantly and positively associated with the population.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127539937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study is to investigate the performance of the bootstrap method on external sector statistics (ESS) in the Nigerian economy. It was carried out using the parametric methods and comparing them with a parametric bootstrap method in regression analysis. To achieve this, three general methods of parameter estimation: least-squares estimation (LSE) maximum likelihood estimation (MLE) and method of moments (MOM) were used in terms of their betas and standard errors. Secondary quarterly data collected from Central Bank of Nigeria statistical bulletin 2012 from 1983-2012 was analyzed using by S-PLUS softwares. Datasets on external sector statistics were used as the basis to define the population and the true standard errors. The sampling distribution of the ESS was found to be a Chi-square distribution and was confirmed using a bootstrap method. The stability of the test statistic was also ascertained. In addition, other parameter estimation methods like R2, R2adj, Akaike Information criterion (AIC), Schwart Bayesian Information criterion (SBIC), Hannan-Quinn Information criterion (HQIC) were used and they confirmed that when the ESS was bootstrapped it turned out to be the best model with 98.9%, 99.9%, 84.9%, 85.4% and 86.7% respectively.
{"title":"Parametric Bootstrap Methods for Parameter Estimation in SLR Models","authors":"C. Acha","doi":"10.12691/IJEFM-2-5-2","DOIUrl":"https://doi.org/10.12691/IJEFM-2-5-2","url":null,"abstract":"The purpose of this study is to investigate the performance of the bootstrap method on external sector statistics (ESS) in the Nigerian economy. It was carried out using the parametric methods and comparing them with a parametric bootstrap method in regression analysis. To achieve this, three general methods of parameter estimation: least-squares estimation (LSE) maximum likelihood estimation (MLE) and method of moments (MOM) were used in terms of their betas and standard errors. Secondary quarterly data collected from Central Bank of Nigeria statistical bulletin 2012 from 1983-2012 was analyzed using by S-PLUS softwares. Datasets on external sector statistics were used as the basis to define the population and the true standard errors. The sampling distribution of the ESS was found to be a Chi-square distribution and was confirmed using a bootstrap method. The stability of the test statistic was also ascertained. In addition, other parameter estimation methods like R2, R2adj, Akaike Information criterion (AIC), Schwart Bayesian Information criterion (SBIC), Hannan-Quinn Information criterion (HQIC) were used and they confirmed that when the ESS was bootstrapped it turned out to be the best model with 98.9%, 99.9%, 84.9%, 85.4% and 86.7% respectively.","PeriodicalId":298738,"journal":{"name":"international journal of research in computer application & management","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128010857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：