Statistical Analysis of Adaptive Type-II Progressively Censored Competing Risks for Weibull Models

2021 ◽  
Author(s):  
Junru Ren ◽  
Wenhao Gui
Keyword(s):  
Statistical Analysis ◽  
Competing Risks ◽  
Type Ii ◽  
Weibull Models

scholarly journals Competing risks incomplete and type -II censored data in some weibull models

2011 ◽  
Vol 31 (2) ◽  
pp. 30-54
Author(s):  
محمود ریاض محمود ◽  
فاطمة خلیل ◽  
عبیر الهلباوی ◽  
غادة الکیلانی
Keyword(s):  
Competing Risks ◽  
Censored Data ◽  
Type Ii ◽  
Weibull Models ◽  
Type Ii Censored Data

scholarly journals Analysis of soil radon data in earthquake precursory studies

2014 ◽  
Vol 57 (5) ◽  
Author(s):  
Hari Prasad Jaishi ◽  
Sanjay Singh ◽  
Raghavendra Prasad Tiwari ◽  
Ramesh Chandra Tiwari
Keyword(s):  
Statistical Analysis ◽  
Multiple Regression ◽  
Radon Concentration ◽  
Seismic Activity ◽  
Meteorological Parameters ◽  
Regression Method ◽  
Seismic Zone ◽  
Type Ii ◽  
Soil Radon ◽  
Multiple Regression Method

<p>Soil radon data were recorded at two selected sites along Mat fault in Mizoram (India), which lies in the highest seismic zone in India. The study was carried out during July 2011 to May 2013 using LR-115 Type II films. Precursory changes in radon concentration were observed prior to some earthquakes that occurred around the measuring sites. Positive correlation was found between the measured radon data and the seismic activity in the region. Statistical analysis of the radon data together with the meteorological parameters was done using Multiple Regression Method. Results obtained show that the method employed was useful for removing the effect of meteorological parameters and to identify radon maxima possibly caused by seismic activity.</p>

In Reply: Statistical Power

PEDIATRICS ◽  
1989 ◽  
Vol 83 (4) ◽  
pp. 634-634
Author(s):  
JOHN S. LOVERING
Keyword(s):  
Statistical Analysis ◽  
Statistical Power ◽  
Type Ii ◽  
Type Ii Error ◽  
Negative Results ◽  
Mean Variance

Dr. Mauro is obviously knowledgeable in the area of statistical analysis and raises a valid point regarding the importance of evaluating the likelihood of a type II error in studies with negative results. Although one does not wish to detract from the main point of a study with extensive details of the statistical analysis (two pages in this case), some readers may desire more mathematical information than values of mean, variance, t, and P, and do not wish to make their own calculations, to reassure themselves that a reasonable conclusion has been drawn by the authors and their statisticians.

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