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Statistics in Transition New Series

An International Journal of the Polish Statistical Association

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

DESCRIPTION

FEATURED ARTICLES

SUBJECTIVE AND COMMUNITY WELL-BEING INTERACTION IN A MULTILEVEL SPATIAL  MODELLING FRAMEWORK
LINEAR CHOLESKY DECOMPOSITION OF COVARIANCE MATRICES IN MIXED MODELS WITH CORRELATED RANDOM EFFECTS

VOLUME 17 , ISSUE 1 (March 2016) - List of articles

FROM THE EDITORS

Michael Hidiroglou/ Wlodzimierz Okrasa

DOI: 10.21307/stattrans-2016-001

FROM THE GUEST EDITORS (PART 2)

Risto Lehtonen/ Graham Kalton

DOI: 10.21307/stattrans-2016-002

SMALL AREA PREDICTION UNDER ALTERNATIVE MODEL SPECIFICATIONS

Andreea L. Erciulescu/ Wayne A. Fuller

Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A para(..)

DOI: 10.21307/stattrans-2016-003

SMALL AREA ESTIMATION IN THE GERMAN CENSUS 2011

Ralf Münnich/ Jan Pablo Burgard/ Siegfried Gabler/ Matthias Ganninger/ Jan-Philipp Kolb

In 2011, Germany conducted the first census after the reunification. In contrast to a classical census, a register-assisted census was implemented using population register data and an additional sample. This paper provides an overview of how the sampling design recommendations were set up in order to fulfil legal requirements and to guarantee an optimal but still flexible source of information. The aim was to develop a design that fosters an accurate estimation of the main objective of the cens(..)

DOI: 10.21307/stattrans-2016-004

A COMPARISON OF SMALL AREA ESTIMATION METHODS FOR POVERTY MAPPING

María Guadarrama/ Isabel Molina/ J. N. K. Rao

We review main small area estimation methods for the estimation of general nonlinear parameters focusing on FGT family of poverty indicators introduced by Foster, Greer and Thorbecke (1984). In particular, we consider direct estimation, the Fay-Herriot area level model (Fay and Herriot, 1979), the method of Elbers, Lanjouw and Lanjouw (2003) used by the World Bank, the empirical Best/Bayes (EB) method of Molina and Rao (2010) and its extension, the Census EB, and finally the hierarchical Bayes p(..)

DOI: 10.21307/stattrans-2016-005

A TWO-COMPONENT NORMAL MIXTURE ALTERNATIVE TO THE FAY-HERRIOT MODEL

Adrijo Chakraborty/ Gauri Sankar Datta/ Abhyuday Mandal

This article considers a robust hierarchical Bayesian approach to deal with random effects of small area means when some of these effects assume extreme values, resulting in outliers. In the presence of outliers, the standard Fay-Herriot model, used for modeling area-level data, under normality assumptions of random effects may overestimate the random effects variance, thus providing less than ideal shrinkage towards the synthetic regression predictions and inhibiting the borrowing of informatio(..)

DOI: 10.21307/stattrans-2016-006

VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

Daniel Hernandez-Stumpfhauser/ F. Jay Breidt/ Jean D. Opsomer

We consider hierarchical regression models for circular data using the projected normal distribution, applied in the development of weights for the Access Point Angler Intercept Survey, a recreational angling survey conducted by the US National Marine Fisheries Service. Weighted estimates of recreational fish catch are used in stock assessments and fisheries regulation. The construction of the survey weights requires the distribution of daily departure times of anglers from fishing sites, within(..)

DOI: 10.21307/stattrans-2016-007

DEVELOPMENT OF SMALLAREA ESTIMATION IN OFFICIAL STATISTICS

Jan Kordos

The author begins with a general assessment of the mission of the National Statistics Institutes (NSIs), main producers of official statistics, which are obliged to deliver high quality statistical information on the state and evolution of the population, the economy, the society and the environment. These statistical results must be based on scientific principles and methods. They must be made available to the public, politics, economy and research for decision-making and information purposes. (..)

DOI: 10.21307/stattrans-2016-008

A COMPARISON OF SMALL AREA AND CALIBRATION ESTIMATORS VIA SIMULATION

Michael A. Hidiroglou/ Victor M. Estevao

Domain estimates are typically obtained using calibration estimators that are direct or modified direct. They are direct if they strictly use data within the domain of interest. They are modified direct if they use both data within and outside the domain of interest. An alternative way of producing these estimates is through small area procedures. In this article, we compare the performance of these two approaches via a simulation. The population is generated using a hierarchical model that incl(..)

DOI: 10.21307/stattrans-2016-009

ABOUT THE AUTHORS

DOI: 10.21307/stattrans-2016-010

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