HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

weibull distribution

30 papers; 28 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PHUSE EU 2025 One sample Log-Rank test for one sample survival studies: SAS code vs R code Giulio Pacini,
Menarini Ricerche,
Giulia Tonini,
Menarini Ricerche,
Simona Scartoni,
Menarini Ricerche		 source
presentation source		 5
SESUG 2024 Special Control Charts for Rare Events: G-charts and T-charts Melvin T. Alexander source 15
PHUSE US 2024 Comparison of Standard Log-Rank Test with Selected Alternatives Elena Valkanova,
Bulat Fatykhov		 source
poster source		 18
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
PharmaSUG 2020 Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate Giulia Tonini,
Letizia Nidiaci,
Simona Scartoni		 source 10
PharmaSUG 2019 A macro of evaluating the performance of the log-rank test using different weight for enrichment studies Chuanwu Zhang,
Byron J. Gajewski,
Jianghua(Wendy) He		 source 13
SGF 2019 Predictive Warranty Analytics using SAS Field Quality Analytics to generate Proactive Insights Prateek Kumar Singh,
Saket Shubham,
Shiv Kumar,
Paresh Peter Rodrigues		 source 20
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
PHUSE EU 2016 Probability Plots as an Instrument for Comparing Distributions Holger Langkabel source
presentation source		 9
WUSS 2016 Short Introduction to Reliability Engineering and PROC RELIABILITY to Non-Engineers Danny Rithy source 7
PHUSE EU 2015 EmpoweR your Application with R! Sudipta Basu,
Pravin Holkar		 source
presentation source		 11
SGF 2015 Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference Using SAS Betty Johanna Garzon Rozo source 20
SGF 2015 Survey Sample Designs for Auditing, Fraud, and Forensics. Turner Bond source 13
SGF 2015 Using SAS/OR to Optimize the Layout of Wind Farm Turbines Sherry Xu,
Steven Gardner,
Joshua Griffin,
Baris Kacar,
Jinxin Yi		 source 13
PharmaSUG 2011 Formulas Calculating Risk Estimates and Testing for Effect Modification and Confounding Manojkumar B Agravat source 44
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
SUGI 2006 Using the RAND Function in SAS for Data Simulation in Clinical Trials Wenping Zhang source 7
SUGI 2005 Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants Eugene Brusilovskiy source 9
SCSUG 2004 Equipment Data Development Case Study - Bayesian Weibull Analysis Wei Yu 43
SUGI 2001 New Methods for Modeling Reliability Using Degradation Data Jose G. Ramirez,
Gordon Johnston		 source 7
SEUGI 1999 Using SAS/IML to fit embedded models to accelerated life test data Alan John Watkins,
Richard E. Johnson		 source 7
SUGI 1999 Using SAS Macros to Develop Confidence Intervals for the Weibull and Extreme Value Distributions Using Type II Censored Data Scott M. Jordan,
Muhammad Zaman		 source 6
SEUGI 1998 A SAS/IML algorithm for maximum likelihood estimation in the Three Parameter Burr XII Distribution Alan John Watkins source 7
SCSUG 1997 Reliability Data Analysis in the SAS System Gordon Johnston 10
WUSS 1997 Reliability Data Analysis in the SAS System Donna O. Fulenwider,
Gordon Johnson		 source 10
MWSUG 1997 Reliability Data Analysis in the SAS System Gordon Johnston 10
NESUG 1994 Graphical Techniques for Evaluating "Nonnormal" Data Melissa A. Durfee 9
SUGI 1992 A SAS Program to Analyze Statistical Distribution of Airborne Material D. Manco,
F. Caiffa,
T. Tirabassi,
S. Corsi		 source 5
SEUGI 1991 Probability Density Distribution of Airborne Pollen Grains Danilo Manco,
P. Mandrioli,
S. Corsi,
T. Tirabassi		 source 12
SUGI 1988 Predicting Equipment Failure Using Weibull Analysis and SAS Software Bruce Kay,
Douglas E. Price		 source 6

Back to keywords