The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform

Jean-marc Fillion - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Coordination of Samples in Business Surveys
    2007
    Co-Authors: Lenka Mach, Philip T. Reiss, Jean-marc Fillion
    Abstract:

    In this paper we present a new Method for coordination of samples selected according to stratified simple random sampling without replacement (SRSWOR) designs. Let s (s’) denote a sample selected for the first (second) survey. Samples are said to be optimally coordinated if their joint probabilities p(s, s’) maximize or minimize the expected overlap. The overlap of the two samples, o(s, s’), is the number of units that s and s’ have in common. We formulate our problem as a linear programming (LP) problem whose objective function is the expected overlap under a joint probability distribution of the integrated surveys. The joint probabilities are the unknowns and the marginal probabilities of s and s’ are the constraints. We use the exchangeability of the SRSWOR design and reduce the LP problem by grouping samples. We describe implementation of the proposed Method and compare it with the popular Sequential SRSWOR Method.

Lenka Mach - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Coordination of Samples in Business Surveys
    2007
    Co-Authors: Lenka Mach, Philip T. Reiss, Jean-marc Fillion
    Abstract:

    In this paper we present a new Method for coordination of samples selected according to stratified simple random sampling without replacement (SRSWOR) designs. Let s (s’) denote a sample selected for the first (second) survey. Samples are said to be optimally coordinated if their joint probabilities p(s, s’) maximize or minimize the expected overlap. The overlap of the two samples, o(s, s’), is the number of units that s and s’ have in common. We formulate our problem as a linear programming (LP) problem whose objective function is the expected overlap under a joint probability distribution of the integrated surveys. The joint probabilities are the unknowns and the marginal probabilities of s and s’ are the constraints. We use the exchangeability of the SRSWOR design and reduce the LP problem by grouping samples. We describe implementation of the proposed Method and compare it with the popular Sequential SRSWOR Method.

Philip T. Reiss - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Coordination of Samples in Business Surveys
    2007
    Co-Authors: Lenka Mach, Philip T. Reiss, Jean-marc Fillion
    Abstract:

    In this paper we present a new Method for coordination of samples selected according to stratified simple random sampling without replacement (SRSWOR) designs. Let s (s’) denote a sample selected for the first (second) survey. Samples are said to be optimally coordinated if their joint probabilities p(s, s’) maximize or minimize the expected overlap. The overlap of the two samples, o(s, s’), is the number of units that s and s’ have in common. We formulate our problem as a linear programming (LP) problem whose objective function is the expected overlap under a joint probability distribution of the integrated surveys. The joint probabilities are the unknowns and the marginal probabilities of s and s’ are the constraints. We use the exchangeability of the SRSWOR design and reduce the LP problem by grouping samples. We describe implementation of the proposed Method and compare it with the popular Sequential SRSWOR Method.

Uttam Kumar Dutta - One of the best experts on this subject based on the ideXlab platform.

  • Financial Performance Measurement of Selected NGOs in West Bengal
    2013
    Co-Authors: Sanjib Kumar Pakira, Uttam Kumar Dutta
    Abstract:

    IntroductionWhatever is the size and nature of a business, financial performance measurement is of crucial importance in any organization including NGOs to make out the objectives of 'Surplus to Fund Employed' and 'Liquidity' as well as the items accountable for changes in working capital. However, this paper focuses on the composition of working capital components, management of liquidity and assessment of the relationship between liquidity and profitability of the selected registered NGOs in West Bengal.MethodologyAn appropriate Methodology has been pursued to carry out the present research work. It encompasses the Universe of the Study, Sampling Structure and Method, sample size, data source and tools used.Universe of the studyThe location of the study was West Bengal as recognized by the Planning Commission as the "Socio-economically Backward in India" (Wikipedia). The state West Bengal was selected so that findings from this preliminary study may be used to design a more in-depth study on a larger scale. This research work was thus restricted to all the districts of West Bengal. West Bengal and the characteristics of all the districts in West Bengal are not different. There were 100150 NGOs registered under the Information of Society Registration Office in West Bengal as on 31.03.2009. It was also informed from the same office that 30150 NGOs were just existed only in papers, 70000 NGOs were operated in papers but it was clear from the field survey that only 34500 registered NGOs really operated in West Bengal.Sampling structure and MethodAfter finalizing the registered NGOs really operated in the field, it has been collected from the field survey that 8625 registered NGOs have audited and published their annual reports regularly. From the audited and published NGOs, we have taken 20 per cent for each district in West Bengal for sampling purposes.Sample DesignOut of 34500, total 8625 NGOs who audited and published their annual reports regularly are taken as the population for the study. From the 8625 NGOs we have selected 1725 NGOs (20 per cent of the population). The simple random sampling without replacement (SRSWOR) Method has been used on these 1725 NGOs. 640 NGOs were rejected through sampling and the remaining 1085 NGOs were then approached to supply annual reports for ten years starting from 2000-01 to 2009-10. Out of 1085 NGOs, 346 NGOs responded very negatively and they are not willing to supply any data and reports (NWSDR). Annual reports and data are not available (DNA) for 10 years in case of 427 NGOs. Only 312 NGOs responded favorably and annual reports and data are available for 10 years in case of only 312 NGOs. Thus, sample size stood at 312 NGOs. However, these 312 NGOs spread up in all the districts of West Bengal as their focused area of operation. The description of the sample is given in table 1.Data sourceThe study is based on secondary data for the period from 2001 to 2010.Secondary data were obtained from the audited Annual Reports and the Balance sheet and Income & Expenditure accounts of the selected NGOs under the study. Besides, the facts, figures and findings advanced in similar earlier studies and the publications of NGOs are also used to supplement the secondary data.Period of the studyThe study relates to the period of a first decade of the New Century, starting from 2000-01 and ending on 2009-10.Selected variablesThe study uses the commonly used financial ratios which are chosen from those utilized by Bhunia (2009), Refuse (1996) and Singh et al (2008). An itemized listing of the variables is accessible in table 1.2.Tools usedIn the course of analysis, accounting technique include ratio analysis, while among statistical techniques the descriptive statistics, correlation statistics, rank correlations, multiple correlations and multiple regressions analysis and the test of significance (chi square test, t-test) have been applied. …

Sanjib Kumar Pakira - One of the best experts on this subject based on the ideXlab platform.

  • Financial Performance Measurement of Selected NGOs in West Bengal
    2013
    Co-Authors: Sanjib Kumar Pakira, Uttam Kumar Dutta
    Abstract:

    IntroductionWhatever is the size and nature of a business, financial performance measurement is of crucial importance in any organization including NGOs to make out the objectives of 'Surplus to Fund Employed' and 'Liquidity' as well as the items accountable for changes in working capital. However, this paper focuses on the composition of working capital components, management of liquidity and assessment of the relationship between liquidity and profitability of the selected registered NGOs in West Bengal.MethodologyAn appropriate Methodology has been pursued to carry out the present research work. It encompasses the Universe of the Study, Sampling Structure and Method, sample size, data source and tools used.Universe of the studyThe location of the study was West Bengal as recognized by the Planning Commission as the "Socio-economically Backward in India" (Wikipedia). The state West Bengal was selected so that findings from this preliminary study may be used to design a more in-depth study on a larger scale. This research work was thus restricted to all the districts of West Bengal. West Bengal and the characteristics of all the districts in West Bengal are not different. There were 100150 NGOs registered under the Information of Society Registration Office in West Bengal as on 31.03.2009. It was also informed from the same office that 30150 NGOs were just existed only in papers, 70000 NGOs were operated in papers but it was clear from the field survey that only 34500 registered NGOs really operated in West Bengal.Sampling structure and MethodAfter finalizing the registered NGOs really operated in the field, it has been collected from the field survey that 8625 registered NGOs have audited and published their annual reports regularly. From the audited and published NGOs, we have taken 20 per cent for each district in West Bengal for sampling purposes.Sample DesignOut of 34500, total 8625 NGOs who audited and published their annual reports regularly are taken as the population for the study. From the 8625 NGOs we have selected 1725 NGOs (20 per cent of the population). The simple random sampling without replacement (SRSWOR) Method has been used on these 1725 NGOs. 640 NGOs were rejected through sampling and the remaining 1085 NGOs were then approached to supply annual reports for ten years starting from 2000-01 to 2009-10. Out of 1085 NGOs, 346 NGOs responded very negatively and they are not willing to supply any data and reports (NWSDR). Annual reports and data are not available (DNA) for 10 years in case of 427 NGOs. Only 312 NGOs responded favorably and annual reports and data are available for 10 years in case of only 312 NGOs. Thus, sample size stood at 312 NGOs. However, these 312 NGOs spread up in all the districts of West Bengal as their focused area of operation. The description of the sample is given in table 1.Data sourceThe study is based on secondary data for the period from 2001 to 2010.Secondary data were obtained from the audited Annual Reports and the Balance sheet and Income & Expenditure accounts of the selected NGOs under the study. Besides, the facts, figures and findings advanced in similar earlier studies and the publications of NGOs are also used to supplement the secondary data.Period of the studyThe study relates to the period of a first decade of the New Century, starting from 2000-01 and ending on 2009-10.Selected variablesThe study uses the commonly used financial ratios which are chosen from those utilized by Bhunia (2009), Refuse (1996) and Singh et al (2008). An itemized listing of the variables is accessible in table 1.2.Tools usedIn the course of analysis, accounting technique include ratio analysis, while among statistical techniques the descriptive statistics, correlation statistics, rank correlations, multiple correlations and multiple regressions analysis and the test of significance (chi square test, t-test) have been applied. …