20,982 research outputs found
On Improvement in Estimating Population Parameter(s) Using Auxiliary Information
The purpose of writing this book is to suggest some improved estimators using
auxiliary information in sampling schemes like simple random sampling and
systematic sampling.
This volume is a collection of five papers. The following problems have been
discussed in the book:
In chapter one an estimator in systematic sampling using auxiliary
information is studied in the presence of non-response. In second chapter some
improved estimators are suggested using auxiliary information. In third chapter
some improved ratio-type estimators are suggested and their properties are
studied under second order of approximation.
In chapter four and five some estimators are proposed for estimating unknown
population parameter(s) and their properties are studied.
This book will be helpful for the researchers and students who are working in
the field of finite population estimation.Comment: 63 pages, 8 tables. Educational Publishing & Journal of Matter
Regularity (Beijing
Estimating regional unemployment with mobile network data for Functional Urban Areas in Germany
The ongoing growth of cities due to better job opportunities is leading to increased labour-relatedcommuter flows in several countries. On the one hand, an increasing number of people commuteand move to the cities, but on the other hand, the labour market indicates higher unemployment ratesin urban areas than in the surrounding areas. We investigate this phenomenon on regional level byan alternative definition of unemployment rates in which commuting behaviour is integrated. Wecombine data from the Labour Force Survey (LFS) with dynamic mobile network data by small areamodels for the federal state North Rhine-Westphalia in Germany. From a methodical perspective, weuse a transformed Fay-Herriot model with bias correction for the estimation of unemployment ratesand propose a parametric bootstrap for the Mean Squared Error (MSE) estimation that includes thebias correction. The performance of the proposed methodology is evaluated in a case study based onofficial data and in model-based simulations. The results in the application show that unemploymentrates (adjusted by commuters) in German cities are lower than traditional official unemployment ratesindicate
Intervention analysis with state-space models to estimate discontinuities due to a survey redesign
An important quality aspect of official statistics produced by national
statistical institutes is comparability over time. To maintain uninterrupted
time series, surveys conducted by national statistical institutes are often
kept unchanged as long as possible. To improve the quality or efficiency of a
survey process, however, it remains inevitable to adjust methods or redesign
this process from time to time. Adjustments in the survey process generally
affect survey characteristics such as response bias and therefore have a
systematic effect on the parameter estimates of a sample survey. Therefore, it
is important that the effects of a survey redesign on the estimated series are
explained and quantified. In this paper a structural time series model is
applied to estimate discontinuities in series of the Dutch survey on social
participation and environmental consciousness due to a redesign of the
underlying survey process.Comment: Published in at http://dx.doi.org/10.1214/09-AOAS305 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
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