Hidden Markov models—most often abbreviated to the acronym “HMMs”—are one of the most successful statistical modelling ideas that have came up in the last forty years: the use …
A Alesina, E La Ferrara - Journal of public Economics, 2005 - Elsevier
This paper explores how individual preferences for redistribution depend on future income prospects. In addition to estimating the impact of individuals' socioeconomic background …
PA Chiappori, B Salanie - Journal of political Economy, 2000 - journals.uchicago.edu
The first goal of this paper is to provide a simple and general test of the presence of asymmetric information in contractual relationships within a competitive context. We also …
M Kateri - Statistics for Industry and Technology, 2014 - Springer
The focus of this book is on models for contingency table analysis. It deals mainly with log- linear models and special models for ordinal data (log-linear or nonlinear). Special models …
O Al-Khazali, A Mirzaei - … of International Financial Markets, Institutions and …, 2017 - Elsevier
Despite the development and growth of Islamic finance, the academic literature on the subject, while increasing, has so far provided no information on the calendar anomalies in …
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This …
A Agresti, BA Coull - Journal of Statistical Planning and Inference, 2002 - Elsevier
This article surveys ways of taking order restrictions into account in the analysis of contingency tables. The methods are best suited for tables in which at least one …
The authors show how the use of inequality constraints on parameters in structural equation models may affect the distribution of the likelihood ratio test. Inequality constraints are …
In this paper we consider the issue of performing statistical inference for Lorenz curve orderings. This involves testing for an ordered relationship in a multivariate context and …