Estimation of count data using mixed Poisson, generalized Poisson and finite Poisson mixture regression models
This study relates the Poisson, mixed Poisson (MP), generalized Poisson (GP) and finite
Poisson mixture (FPM) regression models through mean-variance relationship, and …
Poisson mixture (FPM) regression models through mean-variance relationship, and …
[PDF][PDF] The political determinants of social expenditure: Empirical evidence from OECD countries
M Auteri, A Maruotti - 2011 - siepweb.it
This paper aims to shed light on the role of party politics in shaping the evolution of the
welfare state, and thus social expenditure, in selected developed democracies. To achieve …
welfare state, and thus social expenditure, in selected developed democracies. To achieve …
[PDF][PDF] Statistical problems in the analysis of health claims data
C Kurz - 2020 - edoc.ub.uni-muenchen.de
1.1 Background The study of health care utilization answers important health care questions.
An appropriate management of health care utilization assists to prevent serious health …
An appropriate management of health care utilization assists to prevent serious health …
Latent class linear mixed models-a general approach implemented via SAS® macro with a tutorial for clinical researchers
SW Enck - 2009 - search.proquest.com
Linear mixed models provide a flexible, intuitive method for analyzing repeated-measures
data when the population being studied can be thought of as either a single population or as …
data when the population being studied can be thought of as either a single population or as …
A new estimation approach for modeling activity-travel behavior: applications of the composite marginal likelihood approach in modeling multidimensional choices
N Ferdous - 2011 - repositories.lib.utexas.edu
The research in the field of travel demand modeling is driven by the need to understand
individuals' behavior in the context of travel-related decisions as accurately as possible. In …
individuals' behavior in the context of travel-related decisions as accurately as possible. In …
Semi-Parametric Mixture Gaussian Model to Detect Breast Cancer Intra-Tumor Heterogeneity
D Zhao - 2019 - search.proquest.com
Breast cancer intratumor heterogeneity challenges our ability to predict patients' outcomes
or responses to targeted therapy; yet, available methods are limited to measure intratumor …
or responses to targeted therapy; yet, available methods are limited to measure intratumor …
The analysis of falls counts from falls prevention trials in people with Parkinson's
H Zheng - 2019 - eprints.soton.ac.uk
Falls are a common recurrent event for People with Parkinson's (PwP) and may result in
injuries and loss of independence in daily activities. Falls prevention trials evaluate whether …
injuries and loss of independence in daily activities. Falls prevention trials evaluate whether …
[图书][B] Soft Computing Applied to Optimization, Computer Vision and Medicine
MAD Cortes - 2019 - search.proquest.com
Artificial intelligence has permeated almost every area of life in modern society, and its
significance continues to grow. As a result, in recent years, Soft Computing has emerged as …
significance continues to grow. As a result, in recent years, Soft Computing has emerged as …
Soft computing applied to optimization, computer vision and medicine
MA Diaz Cortes - 2019 - refubium.fu-berlin.de
Artificial intelligence has permeated almost every area of life in modern society, and its
significance continues to grow. As a result, in recent years, Soft Computing has emerged as …
significance continues to grow. As a result, in recent years, Soft Computing has emerged as …
[图书][B] Generalized statistical methods for mixed exponential families
C Levasseur - 2009 - search.proquest.com
This dissertation considers the problem of learning the underlying statistical structure of
complex data sets for fitting a generative model, and for both supervised and unsupervised …
complex data sets for fitting a generative model, and for both supervised and unsupervised …