2024-03-28T13:38:12Z
http://www.iapress.org/index.php/soic/oai
oai:ojs.localhost:article/30
2024-03-28T13:38:12Z
soic:SR
v2
http://www.iapress.org/index.php/soic/article/view/20140306
2024-03-28T13:38:12Z
Statistics, Optimization & Information Computing
Vol 2 No 1 (2014); 56-78
The Weight of Health Expenditures on Household Income in Cameroon
OWOUNDI, Joseph Parfait; Ministry of Economy Planing and Regional Development, Cameroon
2014-02-22 15:03:59
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
url:http://www.iapress.org/index.php/soic/article/view/20140306
en
African leaders pledged at the Abuja conference in 2001, to mobilize more financial resources to allocate at least 15% of their national budgets to the health sector to achieve the Millennium Development Goals (MDGs), seem to have difficulty meeting this commitment because of weakness and fragmentation of health systems. These commitments were renewed in Gaborone, Botswana in 2005 and in Ouagadougou, Burkina Faso in 2006. Indeed, donor funding is still a large part of public health spending on the continent. In some countries, 50% or more of their budgets come from foreign or private assistance. In about half the countries, the private health financing is equal to or exceeds largely public funding, up to 70% in some states like Sudan, Côte d'Ivoire, Cameroon, Chad, Liberia and Uganda. Only five countries (Rwanda, Malawi, Zambia, Burkina Faso, and Togo) have so far respected the promise made to the Abuja conference. In Cameroon, where 51% of the population lives on less than two dollars per day, the average propensity of the total medical consumption is very high. Indeed, 32% of households spend less than half of income on health, while 16% of households spend more than half of the income and 52% spend more than the total income. This corresponds to a weight of 68% in health care spending.
oai:ojs.localhost:article/53
2024-03-28T13:38:12Z
soic:SR
v2
http://www.iapress.org/index.php/soic/article/view/20141207
2024-03-28T13:38:12Z
Statistics, Optimization & Information Computing
Vol 2 No 4 (2014); 368-383
Innovation Goals in Software Development for Business Applications
Arnold, Robert; Canadian Scientific Research and Experimental Development, KPMG Tax, Canada
Shadnam, Reza; Canadian Scientific Research and Experimental Development, KPMG Tax, Canada
2014-11-21 09:17:08
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
url:http://www.iapress.org/index.php/soic/article/view/20141207
en
Having been in touch with technical side of many companies in various sectors, we know industry is facing a period of unprecedented change. We have compiled a list of common technological challenges in the sector that companies are facing in adapting to the change. The purpose of this contribution is to discuss and communicate areas where technological challenges in the Software Development Sector lie. We see this kind of inventory beneficial to the academic community as it provides an account of industry challenges. The analysis would be necessary to really assist players in the sector in being better prepared for formalizing and documenting their learning and know-how development. Beside knowledge management benefits, the analysis also would help in taking advantage of research and development funding and attracting investors; both academic and industrial organizations can take advantage of this aspect. We are calling this type of analysis “capabilities analysis”. A single company might not solve the world’s technical problems, but just being aware of them and measuring steps taken to advance, even slightly, in the direction of solving the problems presented in this analysis would make the company stand out. When data is formulated this way, strong evidence is created that the project goes beyond standard engineering by distinguishing risk that can be eliminated through experiment from standard engineering risk.
oai:ojs.localhost:article/120
2024-03-28T13:38:12Z
soic:SR
v2
http://www.iapress.org/index.php/soic/article/view/20150308
2024-03-28T13:38:12Z
Statistics, Optimization & Information Computing
Vol 3 No 1 (2015); 96-104
On Measurement of Efficiency of Cobb-Douglas Production Function with Additive and Multiplicative Errors
Hossain, Md. Moyazzem; Department of Statistics, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
Majumder, Ajit Kumar; Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
2015-02-21 16:54:47
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
url:http://www.iapress.org/index.php/soic/article/view/20150308
en
In developing counties, efficiency of economic development has determined by the analysis of industrial production. An examination of the characteristic of industrial sector is an essential aspect of growth studies. The most of the developed countries are highly industrialized as they brief “The more industrialization, the more development”. For proper industrialization and industrial development we have to study industrial input-output relationship that leads to production analysis. For a number of reasons econometrician’s belief that industrial production is the most important component of economic development because, if domestic industrial production increases, GDP will increase, if elasticity of labor is higher, implement rates will increase and investment will increase if elasticity of capital is higher. In this regard, this paper should be helpful in suggesting the most suitable Cobb-Douglas production function to forecast the production process for some selected manufacturing industries of developing countries like Bangladesh. This paper choose the appropriate Cobb-Douglas function which gives optimal combination of inputs, that is, the combination that enables it to produce the desired level of output with minimum cost and hence with maximum profitability for some selected manufacturing industries of Bangladesh over the period 1978-79 to 2011-2012. The estimated results shows that the estimates of both capital and labor elasticity of Cobb-Douglas production function with additive errors are more efficient than those estimates of Cobb-Douglas production function with multiplicative errors.
oai:ojs.localhost:article/173
2024-03-28T13:38:12Z
soic:SR
v2
http://www.iapress.org/index.php/soic/article/view/20151204
2024-03-28T13:38:12Z
Statistics, Optimization & Information Computing
Vol 3 No 4 (2015); 348-419
Minimax-Robust Estimation Problems for Stationary Stochastic Sequences
Moklyachuk, Mikhail; Kyiv National Taras Shevchenko University
2015-11-28 19:33:09
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
url:http://www.iapress.org/index.php/soic/article/view/20151204
en
This survey provides an overview of optimal estimation of linear functionals which depend on the unknown values of a stationary stochastic sequence. Based on observations of the sequence without noise as well as observations of the sequence with a stationary noise, estimates could be obtained. Formulas for calculating the spectral characteristics and the mean-square errors of the optimal estimates of functionals are derived in the case of spectral certainty, where spectral densities of the sequences are exactly known. In the case of spectral uncertainty, where spectral densities of the sequences are not known exactly while sets of admissible spectral densities are given, the minimax-robust method of estimation is applied. Formulas that determine the least favourable spectral densities and the minimax spectral characteristics of estimates are presented for some special classes of admissible spectral densities.
oai:ojs.localhost:article/360
2024-03-28T13:38:12Z
soic:SR
v2
http://www.iapress.org/index.php/soic/article/view/soic20180612
2024-03-28T13:38:12Z
Statistics, Optimization & Information Computing
Vol 6 No 2 (2018); 292-302
DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry
Muhammad, Arif; Pondicherry University
Rao, Tirupathi; Pondicherry University
Farooq, Qaiser; Pondicherry University
2018-06-24 18:17:47
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
url:http://www.iapress.org/index.php/soic/article/view/soic20180612
en
In data envelopment analysis (DEA), the concept of efficiency is examined either in radial measure or in non-radial measure. Radial measure gives the proportion or a percentage by which all the inputs (outputs) to be reduced(increased) simultaneously, while as the non-radial measure deals directly with the input output slacks which must be minimized, hence inputs and outputs need not to optimized by same proportion. Radial measures often provide a weak efficiency score while as there is no such case for Non-radial models. The aim of this paper is to employ the non-radial measure(Slack-based model) in DEA window analysis to measure the Technical Efficiency change over years of various Indian cement companies. The research is based on unbalanced panel data of Indian cement companies during the period 2005-15. DEA window analysis is used to determine the efficiency of cement companies and to observe the possibility of changes in the technical efficiency over time. A study is conducted to evaluate the efficiency of cement companies in India in order to identify the sources of inefficiencies and formulate proposals for improving the productivity of those companies and their operations through a three-year window analysis.