Global weak continuity of M-functionals in a neighbourhood of the parametric distribution is established. This has implications for robustness of M-estimators vis a vis definitions put forward by Hampel. For instance the Tukey bisquare location estimator is robust on neighbourhoods of the parametric model, but the median is not. 2000 Mathematics subject classification: primary 62G35; secondary ...

Geographically Weighted Panel Regression (GWPR) model is a panel regression applied on spatial data. This research Fixed Effect Model (FEM) as the global and GWPR local for Human Development Index (HDI) regencies/municipalities in East Kalimantan Province data over years 2017-2020. The aim of this to obtain HDI data, well acquire factors that influence it. parameter was estimated each observati...

The number of infant mortality cases is an important indicator to assess the quality a country's public health. A studies argue that case has close relation living area condition and social status parents. Indirectly, life babies in country will impact nation's general. Therefore, many efforts are required reduce Indonesia. One steps could be done overcome this issue analyze causative factors. ...

April 19, 2009 Version 1.0.2 Date 2007-07-13 Maintainer Deli Wang Author Deli Wang, Jian Huang Depends splines Title A two-way semilinear model for normalization and analysis of cDNA microarray data. Description twslm is for normalization of cDNA microarray data with the two-way semilinear model. Huber’s and Tukey’s bisquare weight functions are available for robust esti...

This study aims to develop a method for multivariate spatial overdispersion count data with mixed Poisson distribution, namely the Geographically Weighted Multivariate Inverse Gaussian Regression (GWMPIGR) model. The parameters of GWMPIGR model are estimated locally using maximum likelihood estimation (MLE) by considering effects. Therefore, significance regression parameter differs each locati...

Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify th...

April 17, 2009 Version 1.0.1 Date 2006-01-17 Maintainer Deli Wang Author Deli Wang, Jian Huang Depends splines Title Systematic approaches using TW-SLM for incorporating control spots and data quality information to improve normalization of cDNA microarray data. Description TwslmSpikeWeight is for normalization of cDNA microarray data with the two-way semilinear model(TW...

The traumatic traces of suicide in a society and the emotional devastation due to these losses make it very important determine causes suicide. In this study, number suicides data was used for Turkey’s 81 provinces 2019.The effects factors affecting spatial differences on were analyzed predicted with geographically weighted regression models (GWR). GWR applied different kernel functions, best m...

The Internet of things ((IoT) consisted physical devices networks such as sensors, home appliances, electronics, and software’s. It enables us to collect exchange data in several fields. After collection from IoT, variable selection is considered a major problem because many variables are involved real life datasets. current study focused on large analysis the model selection, including interac...

Geographically Weighted Regression (GWR) is a method of spatial analysis that can be used to perform by assigning weights based on the geographical distance each observation location and assumption having heterogeneity. The result this an equation model whose parameter values apply only are different from other locations. However, when there outliers at location, more robust estimation needed. ...