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Women Empowerment as an Essential Tool for National Transformation: Niger State, Nigeria Experience
Issue:
Volume 2, Issue 2, March 2013
Pages:
12-14
Abstract: Gender statistics is an area that cuts across traditional fields of statistics to identify, produce and disseminate statistics that reflect the realities of the lives of women and men, and policy issues relating to gender. This paper studies women empowerment as a powerful instrument for national transformation and sustained economic growth. Attempt was made at giving the experience of inclusion of women in Niger State, Nigeria in such areas as leadership activity, economic opportunity, political empowerment, educational attainment and health involvement. It is recommended that there should be changes in all sectors to promote gender equality and transform poor rural women into successful business managers.
Abstract: Gender statistics is an area that cuts across traditional fields of statistics to identify, produce and disseminate statistics that reflect the realities of the lives of women and men, and policy issues relating to gender. This paper studies women empowerment as a powerful instrument for national transformation and sustained economic growth. Attemp...
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Information Theoretic Models for Dependence Analysis And missing Data Estimation
D. S. Hooda,
Permil Kumar
Issue:
Volume 2, Issue 2, March 2013
Pages:
15-20
Abstract: In the present communication information theoretic dependence measure has been defined using maximum entropy principle, which measures amount of dependence among the attributes in a contingency table. A relation between information theoretic measure of dependence and Chi-square statistic has been discussed. A generalization of this information theoretic dependence measure has been also studied. In the end Yate’s method and maximum entropy estimation of missing data in design of experiment have been described and illustrated by considering practical problems with empirical data.
Abstract: In the present communication information theoretic dependence measure has been defined using maximum entropy principle, which measures amount of dependence among the attributes in a contingency table. A relation between information theoretic measure of dependence and Chi-square statistic has been discussed. A generalization of this information theo...
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Generalized Estimation of Missing Observations in Nonlinear Time Series Model Using State Space Representation
Biwott K. Daniel,
Odongo O. Leo
Issue:
Volume 2, Issue 2, March 2013
Pages:
21-28
Abstract: The aim of the study was to formulate a Time Series Model to be used in obtaining optimal estimates of miss-ing observations. State space models and Kalman filter were used to handle irregularly spaced data. A non-Bayesian ap-proach where the missing values were treated as fixed parameters. Simulated AR (1) data and corresponding estimated missing values were generated using a computer programme. Values were withheld and then estimated as though they were missing. The results revealed that simple exposition of state space representation for commonly used Time Series Models can be formulated.
Abstract: The aim of the study was to formulate a Time Series Model to be used in obtaining optimal estimates of miss-ing observations. State space models and Kalman filter were used to handle irregularly spaced data. A non-Bayesian ap-proach where the missing values were treated as fixed parameters. Simulated AR (1) data and corresponding estimated missing ...
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Discordancy in Reduced Dimensions of Outliers in High-Dimensional Datasets: Application of an Updating Formula
B. K. Nkansah,
B. K. Gordor
Issue:
Volume 2, Issue 2, March 2013
Pages:
29-37
Abstract: In multivariate outlier studies, the sum of squares and cross-product (SSCP) is an important property of the data matrix. For example, the much used Mahalanobis distance and the Wilk's ratio make use of SSCP matrices. One of the SSCP matrices involved in outlier studies is the matrix for the set of multiple outliers in the data. In this paper, an explicit expression for this matrix is derived. It has then been shown that in general the discordancy of multiple outliers is preserved along Multiple-Outlier Displaying Components with much lower dimensions than the original high-dimensional dataset.
Abstract: In multivariate outlier studies, the sum of squares and cross-product (SSCP) is an important property of the data matrix. For example, the much used Mahalanobis distance and the Wilk's ratio make use of SSCP matrices. One of the SSCP matrices involved in outlier studies is the matrix for the set of multiple outliers in the data. In this paper, an e...
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Linear Scale Dilation of Asset Returns
Issue:
Volume 2, Issue 2, March 2013
Pages:
38-41
Abstract: Comparing the order statistics of daily returns of the S&P 500 index from 03.01.1950 to 04.03.2013 with the corresponding rankits, a linear scale dilation is observed. This observation is used to derive a five-parameter density function for the parsimonious description of the unconditional distribution of stock returns. The typical graph of this density function looks like a wizard's hat. Its signature feature is the discontinuity at zero.
Abstract: Comparing the order statistics of daily returns of the S&P 500 index from 03.01.1950 to 04.03.2013 with the corresponding rankits, a linear scale dilation is observed. This observation is used to derive a five-parameter density function for the parsimonious description of the unconditional distribution of stock returns. The typical graph of this de...
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