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[PDF] Top 20 ARTIGO_Spatial linear regression models in the infant mortality analysis

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ARTIGO_Spatial linear regression models in the infant mortality analysis

ARTIGO_Spatial linear regression models in the infant mortality analysis

... Infant mortality is one of the main concerns for governments in programs of public ...evaluate the quality of life in several countries. The aim of this paper is ... See full document

6

USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES

USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES

... econometric models are used in the macro-economical analyses in the European Union states, and we can appreciate that these are already ...emphasize the theoretical ... See full document

13

A linear regression pattern for electricity price forecasting in the Iberian electricity market

A linear regression pattern for electricity price forecasting in the Iberian electricity market

... ABSTRACT: The Iberian Market for Electricity resulted from a cooperation process developed by the Portuguese and Spanish administrations, aiming to promote the integration of the electrical ... See full document

11

Regression analysis for constraining free parameters in electrophysiological models of cardiac cells.

Regression analysis for constraining free parameters in electrophysiological models of cardiac cells.

... parameters in neuronal models cannot be uniquely specified using only a metric such as firing rate, a few studies have combined genetic algorithms with more sophisticated data- matching strategies such as ... See full document

11

On the identification of mortality hotspots in linear infrastructures

On the identification of mortality hotspots in linear infrastructures

... generalized linear models (Gomes, Grilo, Silva, & Mira, 2009), ecological niche factor analysis (Hirzel, Hausser, Chessel, & Perrin, 2002), kernel density estimation (Gitman & Levine, ... See full document

11

Selection of higher order regression models in the analysis of multi-factorial transcription data.

Selection of higher order regression models in the analysis of multi-factorial transcription data.

... order linear regression models were applied to microarray expression data in order to identify interactions between multiple treatments and their effects on the transcrip- tional ... See full document

8

Risk factors for neonatal death in the capital city with the lowest infant mortality rate in Brazil

Risk factors for neonatal death in the capital city with the lowest infant mortality rate in Brazil

... as the Apgar score and biological ...logistic regression. Results: Based on the multivariate analysis, socioeconomic factors showed no association with ...at the first (OR 6.65; 95% CI: ... See full document

7

Infant mortality trend in the city of Rio Branco, AC, 1999 to 2015

Infant mortality trend in the city of Rio Branco, AC, 1999 to 2015

... trend analysis was performed using estimates of annual percentage change (APC) and the average annual percentage change (AAPC) of the infant mortality rate from 1999 to 2015 by means of ... See full document

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			The applicability of linear regression models in working environments’ thermal evaluation

← Voltar aos Detalhes do Artigo The applicability of linear regression models in working environments’ thermal evaluation

... of the climate conditions in the working environment in a bank sector of the city of Recife (PE), Brazil, by the use of the equipments of Labour Analysis Laboratory ... See full document

11

Analysis of dental caries using generalized linear and count regression models

Analysis of dental caries using generalized linear and count regression models

... mislead the results of single model fi t to the data summarizes can sometimes or single model fi t summarizes can sometimes be ...for the dental caries as an application presented in this ... See full document

10

ANALYSIS OF TUITION GROWTH RATES BASED ON CLUSTERING AND REGRESSION MODELS

ANALYSIS OF TUITION GROWTH RATES BASED ON CLUSTERING AND REGRESSION MODELS

... comprehensive analysis, we first winsorizes outliers because there are many unreasonable outliers in various variables, shown in Figure ...ratio”. In addition, our regression model also ... See full document

17

Does raising type 1 error rate improve power to detect interactions in linear regression models? A simulation study.

Does raising type 1 error rate improve power to detect interactions in linear regression models? A simulation study.

... statistical analysis in many scientific ...answer the question of whether the relationship between a predictor and outcome variable depends on the value of some third variable ... See full document

5

Methods to verify parameter equality in nonlinear regression models

Methods to verify parameter equality in nonlinear regression models

... described in Bates and Watts (1988) an important requirement to establish confidence inter- vals and regions of parameters in nonlinear models, us- ing linear approximation, is that the ... See full document

5

Air pollution and infant mortality from pneumonia in the Rio de Janeiro Metropolitan Area

Air pollution and infant mortality from pneumonia in the Rio de Janeiro Metropolitan Area

... However, for indoor pollu- tion to become a confounding variable in this present study (responsible for bias in the association between air pollution and infant p[r] ... See full document

8

A methodology for the design of experiments in computational intelligence with multiple regression models

A methodology for the design of experiments in computational intelligence with multiple regression models

... With the results obtained by these techniques and in order to determine whether or not the performance of a particular technique is statistically better than that of the others, a null ... See full document

22

Determining the number of components in mixture regression models: an experimental design

Determining the number of components in mixture regression models: an experimental design

... mixture regression of normal data facilitate model-based clustering within econometric ...These models have attracted considerable interest in recent years, resulting in a vast number of both ... See full document

11

Robust algorithms for linear regression and locally linear embedding

Robust algorithms for linear regression and locally linear embedding

... In the numerical datasets, the rows represent instances or elements and the columns are the attributes or ...found in almost any dataset of the real word. The main ... See full document

108

Random regression models in the evaluation of the growth curve of Simbrasil beef cattle

Random regression models in the evaluation of the growth curve of Simbrasil beef cattle

... by the Associação Brasileira de Criadores das Raças Simental e Simbrasil [Brazilian Associa- tion of Simbrasil and Simmental Cattle Farmers (ABCRSS)] in the municipality of Cachoeiro de Itapemirim ... See full document

9

Multi-treatment regression analysis: the unbalanced case

Multi-treatment regression analysis: the unbalanced case

... a linear model, there is a linear regression in the same ...of the action of the treatments on the sample mean values, the action on regression ... See full document

6

Neutrosophic Correlation and Simple Linear Regression

Neutrosophic Correlation and Simple Linear Regression

... Since the world is full of indeterminacy, the neutrosophics found their place into contemporary ...research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [7, ... See full document

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