Discussion of: A Simple Method for Regression Analysis with Censored Data

Technometrics ◽  
1979 ◽  
Vol 21 (4) ◽  
pp. 433
Author(s):  
Robert Hooke
Technometrics ◽  
1979 ◽  
Vol 21 (4) ◽  
pp. 417-432 ◽  
Author(s):  
Josef Schmee ◽  
Gerald J. Hahn

Author(s):  
Shulamit T. Gross ◽  
Catherine Huber-Carol ◽  
Timothy Costigan

2019 ◽  
Vol 1 (2) ◽  
pp. 23
Author(s):  
Achmad Sholihin

This study aims to identify and analyze influence of incentives, motivation and leadership to employee performance, and analyze one of the variable incentive, motivation and leadership that has dominant influence on employee performance.This study uses simple method of saturation, where the number of samples used the same amount as the total population. While the number of samples taken as many as 42 employees in the Tax Office Pratama in North Sidoarjo. Further data processing performed by using regression analysis (multiple regression analysis), and test the hypothesis using the F-test and t-test. The results of this study indicate that the incentive variable (X1), work motivation (X2), and leadership (X3) has positive and significant impact on employee performance Tax Office Pratama in North Sidoarjo. Where as the dominant influence work motivation (most influential) and significant to employee performance the Tax Office Pratama in North Sidoarjo, with analysis of the standardized coefficients (Beta) = 0.624. Means each of the independent variables is relationship that can change and improve employee performance with reasonably well in providing services to the community


Technometrics ◽  
1981 ◽  
Vol 23 (2) ◽  
pp. 161-163 ◽  
Author(s):  
Murray Aitkin

2010 ◽  
Vol 93 (4) ◽  
pp. 1322-1330 ◽  
Author(s):  
M Marsin Sanagi ◽  
Zalilah Nasir ◽  
Susie Lu Ling ◽  
Dadan Hermawan ◽  
Wan Aini Wan Ibrahim ◽  
...  

Abstract Linearity assessment as required in method validation has always been subject to different interpretations and definitions by various guidelines and protocols. However, there are very limited applicable implementation procedures that can be followed by a laboratory chemist in assessing linearity. Thus, this work proposes a simple method for linearity assessment in method validation by a regression analysis that covers experimental design, estimation of the parameters, outlier treatment, and evaluation of the assumptions according to the International Union of Pure and Applied Chemistry guidelines. The suitability of this procedure was demonstrated by its application to an in-house validation for the determination of plasticizers in plastic food packaging by GC.


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