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Confidence intervals for estimators of welfare indices under complex sampling
Kirchoff, Retha - 2010
estimation of the welfareindices, two resampling techniques, viz. jackknife and bootstrap, are discussed.They are used for the …, viz. standard(asymptotic), percentile and bootstrap-t. An overview of welfare indices andtheir estimation is given. The … indices are categorized into measures of poverty andmeasures of inequality. Two Laeken indices, viz. at-risk-of-poverty and …
Persistent link: https://www.econbiz.de/10009442042
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Statistical methods for assessing and managing wild populations
Hoyle, Simon David - 2005
the classical paradigm, by investigating the best way to estimate bootstrap confidence limits on recreational harvest and …
Persistent link: https://www.econbiz.de/10009438291
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Sample size determination for kernel regression estimation using sequential fixed-width confidence bands
Dharmasena, L. Sandamali; Zeephongsekul, P.; de Silva, … - 2008
We consider a random design model based on independent and identically distributed pairs of observations (Xi, Yi), where the regression function m(x) is given by m(x) = E(Yi|Xi = x) with one independent variable. In a nonparametric setting the aim is to produce a reasonable approximation to the...
Persistent link: https://www.econbiz.de/10009484098
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Bootstrapping linear models, and its applications.
Tsang, Lester Hing Fung, Mathematics & Statistics, … - 2011
The bootstrap is a computationally intensive data analysis technique. It is particularly useful for analysing small … datasets, and for estimating the sampling distribution of a statistic when it is intractable. We focus on bootstrap hypothesis … testing of linear models. In this context, at present, various versions of the bootstrap are available, and it is not entirely …
Persistent link: https://www.econbiz.de/10009484187
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Adaptive weighting for flexible estimation in nonparametric regression models.
Nosedal-Sanchez, Alvaro - 2011
We propose a new method to find spatially adaptive smoothing splines. This new method breaks down the interval [0, 1] into p disjoint sub-intervals. Then we define p functional components in [0, 1], which have two importantfeatures. First, the purpose of each of these p components is to estimate...
Persistent link: https://www.econbiz.de/10009429662
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A non-iterative alternative to ordinal log-linear models
Beh, Eric John; Davy, Pamela J. - University of Wollongong; University of Western Sydney; … - 2004
Log-linear modeling is a popular statistical tool for analysing a contingency table. This presentation focuses on an alternative approach to modeling ordinal categorical data. The technique, based on orthogonal polynomials, provides a much simpler method of model fitting than the conventional...
Persistent link: https://www.econbiz.de/10009481982
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A non-iterative alternative to ordinal log-linear models
Beh, Eric John; Davy, Pamela J. - University of Wollongong; University of Western Sydney; … - 2004
Log-linear modeling is a popular statistical tool for analysing a contingency table. This presentation focuses on an alternative approach to modeling ordinal categorical data. The technique, based on orthogonal polynomials, provides a much simpler method of model fitting than the conventional...
Persistent link: https://www.econbiz.de/10009482057
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Gender Equality in Central and Eastern Europe : A Comparison of Labour Market Attitudes, Educational Achievement and Poverty between East and West
Schnepf, Sylke Viola - 2005
tremendous increase in poverty and income inequality in Central and Eastern Europe (CEE). Much of the literature argues that the …’s economic empowerment: the labour market, education and poverty. Large and complex data sets on peoples’ attitudes and … greater in transition than in OECD countries.On the other hand, once the feminisation of poverty is concerned data on …
Persistent link: https://www.econbiz.de/10009449678
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Changing patterns of South African income distribution: Towards time series estimates of distribution and poverty
van der Berg S.; Louw M. - 2004
we then combine to arrive at estimates of overall poverty from 1970 to 2000. However, data for the last few years of this … that these estimates are worst case estimates of poverty trends after 1995. An alternative, less pessimistic estimate is … to arrive at overall estimates of inequality and poverty; next we discuss the trends in poverty as derived from our data …
Persistent link: https://www.econbiz.de/10009480492