Results 21 to 30 of about 574,679 (272)
FEMOSAA: Feature guided and knEe driven Multi-Objective optimization for Self-Adaptive softwAre [PDF]
, 2018 Self-Adaptive Software (SAS) can reconfigure itself to adapt to the changing environment at runtime, aiming to continually optimize conflicted nonfunctional objectives (e.g., response time, energy consumption, throughput, cost, etc.). In this article, we
Bahsoon, R, Chen, T, Li, K, Yao, X
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Ordinal Regression Analysis: Fitting the Proportional Odds Model Using Stata, SAS and SPSS [PDF]
, 2009 Researchers have a variety of options when choosing statistical software packages that can perform ordinal logistic regression analyses. However, statistical software, such as Stata, SAS, and SPSS, may use different techniques to estimate the parameters.
Liu, Xing
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How to use χ2 test correctly——the independence test for the data of the person-time
Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the independence test and the SAS implementation for the "unstratified person-time data" and the "stratified person-time data".
Hu Chunyan, Hu Liangping
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Timed-SAS: Modeling and Analyzing the Time Behaviors of Self-Adaptive Software under Uncertainty
Applied Sciences, 2023 Self-adaptive software (SAS) is gaining in popularity as it can handle dynamic changes in the operational context or in itself. Time behaviors are of vital importance for SAS systems, as the self-adaptation loops bring in additional overhead time ...
Deshuai Han +4 more
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the methods of the "layered person-time data" rate ratio analysis and the SAS implementation. The specific contents included the following four aspects： ① the point estimation and the confidence interval ...
Hu Chunyan, Hu Liangping
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BMC Health Services Research, 2011 Background This study aims to identify the statistical software applications most commonly employed for data analysis in health services research (HSR) studies in the U.S.
Partridge Jamie S +2 more
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IEEE Open Access Journal of Power and Energy, 2023 In handling complex power system simulation tasks, semi-analytical solution (SAS) methods have proven to be numerically robust and computationally efficient. They provide a competitive alternative to traditional numerical approaches.
Jianzhe Liu +4 more
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Sichuan jingshen weisheng, 2021 The purpose of the paper was to introduce the relative risk analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects： firstly， the homogeneity test of the data in the g×2×2 table ...
Hu Chunyan, Hu Liangping
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The Association Between Rate and Severity of Exacerbations in Chronic Obstructive Pulmonary Disease: An Application of a Joint Frailty-Logistic Model. [PDF]
, 2016 Exacerbations are a hallmark of chronic obstructive pulmonary disease (COPD). Evidence suggests the presence of substantial between-individual variability (heterogeneity) in exacerbation rates.
Albert, Richard +8 more
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MTPmle: A SAS Macro and Stata Programs for Marginalized Inference in Semi-Continuous Data
Journal of Statistical Software, 2018 We develop a SAS macro and equivalent Stata programs that provide marginalized inference for semi-continuous data using a maximum likelihood approach.
Delia C. Voronca +4 more
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