The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear – Regression Models

Technometrics ◽  
1987 ◽  
Vol 29 (4) ◽  
pp. 439-447 ◽  
Author(s):  
Linda M. Haines
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Optimal Designs ◽  
Linear Regression Models ◽  
Annealing Algorithm

scholarly journals Bayesian Optimal Designs for Linear Regression Models

1991 ◽  
Vol 19 (4) ◽  
pp. 2183-2208 ◽  
Author(s):  
Sadi M. El-Krunz ◽  
W. J. Studden
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Optimal Designs ◽  
Linear Regression Models

Optimal Designs in Random Coefficient Linear Regression Models

1996 ◽  
Vol 46 (3-4) ◽  
pp. 211-230 ◽  
Author(s):  
Erkki P. Liski ◽  
Arto Luoma ◽  
Bikas K. Sinha
Keyword(s):  
Parameter Estimation ◽  
Linear Regression ◽  
Upper Bound ◽  
Regression Models ◽  
Random Coefficients ◽  
Repeated Measurements ◽  
Optimal Designs ◽  
Slope Parameter ◽  
Linear Regression Models ◽  
Estimation And Prediction

In this paper we consider a random coefficients regression model in the context of repeated measurements. The measurements are taken at consecutive points for several experimental units, and the total number of measurements have a fixed upper bound. Observations on the same unit at different points will be correlated while observations on two differents units are uncorrelated. We present optimal designs for slope parameter estimation and prediction.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

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