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Linear Regression Analysis for Symbolic Interval Data
《Open Journal of Statistics》2018年第6期885-901,共17页Jin-Jian Hsieh Chien-Cheng Pan 
In the network technology era, the collected data are growing more and more complex, and become larger than before. In this article, we focus on estimates of the linear regression parameters for symbolic interval data...
关键词：LINEAR Regression SYMBOLIC INTERVAL Data CENTRE Method Least SQUARES ESTIMATE 
Simple Linear Regression Model for Hidden/Hard-to-Reach/Elusive Populations
《Open Journal of Statistics》2017年第4期551-559,共9页Maahi Tuahiru Mubarika Alhassan Haadi Abdul-Rahaman 
Estimation methods have over the years been a problem for Statistician especially in sectors that have to do with Hidden/Hard-to-Reach population. In this paper, a regression model was derived for Elusive/Hard-to-Reac...
关键词：MULTIPLICITY ESTIMATOR SIMPLE Linear Regression Least SQUARES Estimation 
The Dual of the Least-Squares Method
《Open Journal of Statistics》2015年第7期658-664,共7页Quirino Paris 
This paper presents the dual specification of the least-squares method. In other words, while the traditional (primal) formulation of the method minimizes the sum of squared residuals (noise), the dual specification m...
关键词：Least SQUARES Primal DUAL PYTHAGORAS THEOREM Noise VALUE of SAMPLE Information 
A New Algorithm for Generalized Least Squares Factor Analysis with a Majorization Technique
《Open Journal of Statistics》2015年第3期165-172,共8页Kohei Adachi 
Factor analysis (FA) is a time-honored multivariate analysis procedure for exploring the factors underlying observed variables. In this paper, we propose a new algorithm for the generalized least squares (GLS) estimat...
关键词：EXPLORATORY FACTOR Analysis GENERALIZED Least SQUARES Estimation Matrix COMPUTATIONS Majorization 
On the Maximum Likelihood and Least Squares Estimation for the Inverse Weibull Parameters with Progressively First-Failure Censoring
《Open Journal of Statistics》2015年第1期75-89,共15页Amal Helu 
In this article, we consider a new life test scheme called a progressively first-failure censoring scheme introduced by Wu and Kus [1]. Based on this type of censoring, the maximum likelihood, approximate maximum like...
关键词：INVERSE Weibull Distribution Progressive First-Failure CENSORING Maximum LIKELIHOOD Least SQUARES Method 
Change-Point Analysis of Survival Data with Application in Clinical Trials
《Open Journal of Statistics》2014年第9期663-677,共15页Xuan Chen Michael Baron 
Effects of many medical procedures appear after a time lag, when a significant change occurs in subjects’ failure rate. This paper focuses on the detection and estimation of such changes which is important for the ev...
关键词：CHANGE-POINT Problem Failure Rate Kaplan-Meier ESTIMATION Least SQUARES ESTIMATION Maximum LIKELIHOOD ESTIMATION Strong CONSISTENCY Survival Function 
Modified Maximum Likelihood Estimation in Autoregressive Processes with Generalized Exponential Innovations
《Open Journal of Statistics》2014年第8期620-629,共10页Bernardo Lagos-álvarez Guillermo Ferreira Emilio Porcu 
We consider a time series following a simple linear regression with first-order autoregressive errors belonging to the class of heavy-tailed distributions. The proposed model provides a useful generalization of the sy...
关键词：AUTOREGRESSIVE Time Series Model MAXIMUM LIKELIHOOD MODIFIED MAXIMUM LIKELIHOOD Least SQUARES Generalized EXPONENTIAL 
Functional Analysis of Chemometric Data
《Open Journal of Statistics》2013年第5期334-343,共10页Ana M. Aguilera Manuel Escabias Mariano J. Valderrama M. Carmen Aguilera-Morillo 
The objective of this paper is to present a review of different calibration and classification methods for functional data in the context of chemometric applications. In chemometric, it is usual to measure certain par...
关键词：FUNCTIONAL Data ANALYSIS B-SPLINES FUNCTIONAL Principal Component Regression FUNCTIONAL Partial Least SQUARES FUNCTIONAL LOGIT Models FUNCTIONAL Linear DISCRIMINANT ANALYSIS Spectroscopy NIR Spectra 
Estimating the Parameters Geographically Weighted Regression (GWR) with Measurement Error
《Open Journal of Statistics》2013年第6期417-421,共5页Ida Mariati Hutabarat Asep Saefuddin Anik Djuraidah I Wayan Mangku 
Geographically weighted regression models with the measurement error are a modeling method that combines the global regression models with the measurement error and the weighted regression model. The assumptions used ...
关键词：GEOGRAPHICAL WEIGHTED Regression Measurement Error INSTRUMENTAL Variable WEIGHTED Least SQUARES 
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